Search results for "Reinforcement"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
75	James S. Duncan, Thomas Birkhölzer	Reinforcement of Linear Structure using Parametrized Relaxation Labeling.	IEEE Trans. Pattern Anal. Mach. Intell.	1992	DBLP DOI BibTeX RDF	linear structure reinforcement, label strength, information suppression, neighbourhood influence biassing, bar reinforcement, line segment reinforcement, parametrized relaxation labeling, local evidence, orientation labels, sigmoidal thresholding function, noise-suppressed labelings, edge reinforcement, computational complexity, computational complexity, picture processing, convergence, thinning, noisy images
61	SeungGwan Lee	A Cooperation Online Reinforcement Learning Approach in Ant-Q.	ICONIP (1)	2006	DBLP DOI BibTeX RDF
60	Arthur Plínio de S. Braga, Aluízio F. R. Araújo	A topological reinforcement learning agent for navigation.	Neural Comput. Appl.	2003	DBLP DOI BibTeX RDF	Latent learning, Neural networks, Navigation, Reinforcement learning, Topological maps
56	Valdinei Freire da Silva, Pedro U. Lima, Anna Helena Reali Costa	Eliciting preferences over observed behaviours based on relative evaluations.	IROS	2007	DBLP DOI BibTeX RDF
55	Chin-Teng Lin, Chong-Ping Jou	Controlling chaos by GA-based reinforcement learning neural network.	IEEE Trans. Neural Networks	1999	DBLP DOI BibTeX RDF
54	Drew Mellor	Model-Based Reinforcement Learning for Alternating Markov Games.	Australian Conference on Artificial Intelligence	2003	DBLP DOI BibTeX RDF	machine learning, search, reinforcement learning, planning, Game playing
53	J. J. McDowell, Paul L. Soto, Jesse Dallery, Saule Kulubekova	A computational theory of adaptive behavior based on an evolutionary reinforcement mechanism.	GECCO	2006	DBLP DOI BibTeX RDF	Rescorla-Wagner rule, conditioned reinforcement, credit assignment, delay-reduction theory, matching theory, stimulus control, evolutionary algorithms, reinforcement learning, adaptive agents, adaptive behavior
47	Omid Aghazadeh, Maziar Ahmad Sharbafi, Abolfazl Toroghi Haghighat	Implementing Parametric Reinforcement Learning in Robocup Rescue Simulation.	RoboCup	2007	DBLP DOI BibTeX RDF	Reinforcement Learning, Decision Making, Multi Agent Coordination
47	Joost Broekens	Emotion and Reinforcement: Affective Facial Expressions Facilitate Robot Learning.	Artifical Intelligence for Human Computing	2007	DBLP DOI BibTeX RDF	Reinforcement Learning, Affect, Human-in-the-Loop
47	Kengo Katayama, Takahiro Koshiishi, Hiroyuki Narihisa	Reinforcement learning agents with primary knowledge designed by analytic hierarchy process.	SAC	2005	DBLP DOI BibTeX RDF	profit sharing, pursuit problem, sokoban, reinforcement learning, deadlock, analytic hierarchy process
46	Jing Shen, Guochang Gu, Haibo Liu	Multi-Agent Hierarchical Reinforcement Learning by Integrating Options into MAXQ.	IMSCCS (1)	2006	DBLP DOI BibTeX RDF	MAXQ, Options, hierarchical reinforcement learning, multi-agent reinforcement learning
46	Andrea Bonarini, Francesco Montrone, Marcello Restelli	Reinforcement Distribution in Continuous State Action Space Fuzzy Q-Learning: A Novel Approach.	WILF	2005	DBLP DOI BibTeX RDF	Fuzzy Q–learning, continuous state-action space, reinforcement distribution, Fuzzy logic, Reinforcement Learning
42	Dusko Katic	New Trends in Robotic Reinforcement Learning: Single and Multi-robot Case.	Towards Intelligent Engineering and Information Technology	2009	DBLP DOI BibTeX RDF
41	Hisashi Handa	EDA-RL: estimation of distribution algorithms for reinforcement learning problems.	GECCO	2009	DBLP DOI BibTeX RDF	reinforcement learning problems, estimation of distribution algorithms, conditional random fields
41	Huang Zhen, Li Dongyu, Li Chengwei	Implementation of Reinforcement and Reduction of Traditional Acupuncture and Moxibustion.	BMEI (1)	2008	DBLP DOI BibTeX RDF	Reinforcement and Reduction, Laser Acupuncture
41	Sachin B. Patkar, H. Narayanan	Fast On-Line/Off-Line Algorithms for Optimal Reinforcement of a Network and its Connections with Principal Partition.	J. Comb. Optim.	2003	DBLP DOI BibTeX RDF	Principal Partition, network, graph, on-line algorithm, reinforcement, polymatroid, strength
41	Albert Y. Zomaya, Matthew Clements, Stephan Olariu	A Framework for Reinforcement-Based Scheduling in Parallel Processor Systems.	IEEE Trans. Parallel Distributed Syst.	1998	DBLP DOI BibTeX RDF	scheduling, Neural networks, parallel processing, reinforcement learning, randomization, task allocation
41	Alessandro Lazaric	Transfer in Reinforcement Learning: A Framework and a Survey.	Reinforcement Learning	2012	DBLP DOI BibTeX RDF
41	Ann Nowé, Peter Vrancx, Yann-Michaël De Hauwere	Game Theory and Multi-agent Reinforcement Learning.	Reinforcement Learning	2012	DBLP DOI BibTeX RDF
41	Hado van Hasselt	Reinforcement Learning in Continuous State and Action Spaces.	Reinforcement Learning	2012	DBLP DOI BibTeX RDF
41	Jens Kober, Jan Peters 0001	Reinforcement Learning in Robotics: A Survey.	Reinforcement Learning	2012	DBLP DOI BibTeX RDF
41	Martijn van Otterlo, Marco A. Wiering	Reinforcement Learning and Markov Decision Processes.	Reinforcement Learning	2012	DBLP DOI BibTeX RDF
41	Shimon Whiteson	Evolutionary Computation for Reinforcement Learning.	Reinforcement Learning	2012	DBLP DOI BibTeX RDF
41	István Szita	Reinforcement Learning in Games.	Reinforcement Learning	2012	DBLP DOI BibTeX RDF
41	Sascha Lange, Thomas Gabel, Martin A. Riedmiller	Batch Reinforcement Learning.	Reinforcement Learning	2012	DBLP DOI BibTeX RDF
41	Ashvin Shah	Psychological and Neuroscientific Connections with Reinforcement Learning.	Reinforcement Learning	2012	DBLP DOI BibTeX RDF
41	Nikos Vlassis, Mohammad Ghavamzadeh, Shie Mannor, Pascal Poupart	Bayesian Reinforcement Learning.	Reinforcement Learning	2012	DBLP DOI BibTeX RDF
40	Marc J. V. Ponsen, Tom Croonenborghs, Karl Tuyls, Jan Ramon, Kurt Driessens	Learning with whom to communicate using relational reinforcement learning.	AAMAS (2)	2009	DBLP BibTeX RDF	relational reinforcement learning, multi-agent systems, reinforcement learning
40	Carlos Diuk, Alexander L. Strehl, Michael L. Littman	A hierarchical approach to efficient reinforcement learning in deterministic domains.	AAMAS	2006	DBLP DOI BibTeX RDF	factored representations, reinforcement learning, hierarchical reinforcement learning, sample complexity
36	Lashon B. Booker	Adaptive value function approximations in classifier systems.	GECCO Workshops	2005	DBLP DOI BibTeX RDF	hyperplane coding, tile coding, reinforcement learning, learning classifier systems, function approximation
36	Gavin Taylor, Ronald Parr	Kernelized value function approximation for reinforcement learning.	ICML	2009	DBLP DOI BibTeX RDF
36	Zahra Abbasi, Mohammad Ali Abbasi	Reinforcement Distribution in a Team of Cooperative Q-learning Agents.	SNPD	2008	DBLP DOI BibTeX RDF	Agent learning, evolution and adaptation, Cooperative distributed problem, solving, and teamwork, Coordination, Multiagent Systems, Multiagent Systems, cooperation, Multiagent learning
36	Hisashi Handa	Evolutionary Computation on Multitask Reinforcement Learning Problems.	ICNSC	2007	DBLP DOI BibTeX RDF
36	Jian Fan, Yang Song 0003, Minrui Fei, Qijie Zhao	A Novel Neural Network Based Reinforcement Learning.	LSMS (1)	2007	DBLP DOI BibTeX RDF
36	Guanghua Hu, Yuqin Qiu, Liming Xiang	Kernel-Based Reinforcement Learning.	ICIC (1)	2006	DBLP DOI BibTeX RDF
36	Farhang Sahba, Hamid R. Tizhoosh, Magdy M. A. Salama	A Reinforcement Learning Framework for Medical Image Segmentation.	IJCNN	2006	DBLP DOI BibTeX RDF
36	Chia-Feng Juang	Combination of online clustering and Q-value based GA for reinforcement fuzzy system design.	IEEE Trans. Fuzzy Syst.	2005	DBLP DOI BibTeX RDF
36	Ben-Nian Wang, Yang Gao 0001, Zhaoqian Chen, Jun-Yuan Xie, Shifu Chen	LMRL: A Multi-Agent Reinforcement Learning Model and Algorithm.	ICITA (1)	2005	DBLP DOI BibTeX RDF
36	Norihisa Sato, Masaharu Adachi, Makoto Kotani	Control of Associative Chaotic Neural Networks Using a Reinforcement Learning.	ISNN (1)	2004	DBLP DOI BibTeX RDF
36	Elhadi M. Shakshuki, Karim Rahim	Multiple Reinforcement Learning Agents in a Static Environment.	IEA/AIE	2004	DBLP DOI BibTeX RDF
36	Kurt Driessens	Relational Reinforcement Learning.	EASSS	2001	DBLP DOI BibTeX RDF
36	Bernhard Hengst	Hierarchical Approaches.	Reinforcement Learning	2012	DBLP DOI BibTeX RDF
36	Frans A. Oliehoek	Decentralized POMDPs.	Reinforcement Learning	2012	DBLP DOI BibTeX RDF
36	Lihong Li 0001	Sample Complexity Bounds of Exploration.	Reinforcement Learning	2012	DBLP DOI BibTeX RDF
36	Todd Hester, Peter Stone	Learning and Using Models.	Reinforcement Learning	2012	DBLP DOI BibTeX RDF
36	Martijn van Otterlo	Solving Relational and First-Order Logical Markov Decision Processes: A Survey.	Reinforcement Learning	2012	DBLP DOI BibTeX RDF
36	David Wingate	Predictively Defined Representations of State.	Reinforcement Learning	2012	DBLP DOI BibTeX RDF
36	Matthijs T. J. Spaan	Partially Observable Markov Decision Processes.	Reinforcement Learning	2012	DBLP DOI BibTeX RDF
36	Marco A. Wiering, Martijn van Otterlo	Conclusions, Future Directions and Outlook.	Reinforcement Learning	2012	DBLP DOI BibTeX RDF
36	Lucian Busoniu, Alessandro Lazaric, Mohammad Ghavamzadeh, Rémi Munos, Robert Babuska, Bart De Schutter	Least-Squares Methods for Policy Iteration.	Reinforcement Learning	2012	DBLP DOI BibTeX RDF
35	Güray Erus, Faruk Polat	A layered approach to learning coordination knowledge in multiagent environments.	Appl. Intell.	2007	DBLP DOI BibTeX RDF	Reinforcement learning, Multiagent learning, Hierarchical reinforcement learning
35	Anthony Knittel	An activation reinforcement based classifier system for balancing generalisation and specialisation (ARCS).	GECCO (Companion)	2010	DBLP DOI BibTeX RDF	accessibility, reinforcement learning, memory, learning classifier systems, concepts
35	Jartuwat Rajruangrabin, Dan O. Popa	Reinforcement learning of interface mapping for interactivity enhancement of robot control in assistive environments.	PETRA	2010	DBLP DOI BibTeX RDF	reinforcement learning, human-robot interface
35	Mehrtash Tafazzoli Harandi, Majid Nili Ahmadabadi, Babak Nadjar Araabi	Optimal Local Basis: A Reinforcement Learning Approach for Face Recognition.	Int. J. Comput. Vis.	2009	DBLP DOI BibTeX RDF	Feature selection, Face recognition, Reinforcement learning
35	Peter Vamplew 0001, Richard Dazeley, Ewan Barker, Andrei V. Kelarev	Constructing Stochastic Mixture Policies for Episodic Multiobjective Reinforcement Learning Tasks.	Australasian Conference on Artificial Intelligence	2009	DBLP DOI BibTeX RDF	scalarisation, reinforcement learning, Pareto fronts, multiobjective
35	Jian Fan, Minrui Fei, Likang Shao, Feng Huang	A Novel Multi-robot Coordination Method Based on Reinforcement Learning.	ICIC (1)	2008	DBLP DOI BibTeX RDF	behavior weight, role transformation, reinforcement learning, multi-robot
35	Furu Wei, Wenjie Li 0002, Qin Lu 0001, Yanxiang He	Query-sensitive mutual reinforcement chain and its application in query-oriented multi-document summarization.	SIGIR	2008	DBLP DOI BibTeX RDF	mutual reinforcement chain, query-sensitive similarity, ranking algorithms, query-oriented summarization
35	Mohammad Hossein Fazel Zarandi, Javid Jouzdani, I. Burhan Türksen	Generalized Reinforcement Learning Fuzzy Control with Vague States.	Analysis and Design of Intelligent Systems using Soft Computing Techniques	2007	DBLP DOI BibTeX RDF	reinforcement learning, fuzzy control, fuzzy systems
35	Xiaobei Cheng, Jing Shen, Haibo Liu, Guochang Gu	Multi-robot Cooperation Based on Hierarchical Reinforcement Learning.	International Conference on Computational Science (3)	2007	DBLP DOI BibTeX RDF	cooperation, multi-robot, hierarchical reinforcement learning
35	Luiz A. Celiberto, Jackson Paul Matsuura, Reinaldo A. C. Bianchi	Heuristic Q-Learning Soccer Players: A New Reinforcement Learning Approach to RoboCup Simulation.	EPIA Workshops	2007	DBLP DOI BibTeX RDF	RoboCup Simulation 2D, Reinforcement Learning, Cognitive Robotics
35	Quan Liu, Yang Gao 0001, Zhiming Cui, WangShu Yao, ZhongWen Chen	An Tableau Automated Theorem Proving Method Using Logical Reinforcement Learning.	ISICA	2007	DBLP DOI BibTeX RDF	logical reinforcement learning, tableau automated theorem proving, LOMDP
35	Mazda Ahmadi, Matthew E. Taylor, Peter Stone	IFSA: incremental feature-set augmentation for reinforcement learning tasks.	AAMAS	2007	DBLP DOI BibTeX RDF	reinforcement learning
35	Bernhard Hengst	Safe State Abstraction and Reusable Continuing Subtasks in Hierarchical Reinforcement Learning.	Australian Conference on Artificial Intelligence	2007	DBLP DOI BibTeX RDF	state abstraction, task hierarchies, decomposition, hierarchical reinforcement learning
35	Shimon Whiteson, Peter Stone	On-line evolutionary computation for reinforcement learning in stochastic domains.	GECCO	2006	DBLP DOI BibTeX RDF	neural networks, evolutionary computation, reinforcement learning, on-line learning
35	Daniela Pereira Alves, Li Weigang 0001, Bueno Borges de Souza	Using Meta-Level Control with Reinforcement Learning to Improve the Performance of the Agents.	FSKD	2006	DBLP DOI BibTeX RDF	Air Traffic Flow Management, Meta-Level Control, Reinforcement learning
35	Fernando Fernández 0001, Daniel Borrajo, Lynne E. Parker	A Reinforcement Learning Algorithm in Cooperative Multi-Robot Domains.	J. Intell. Robotic Syst.	2005	DBLP DOI BibTeX RDF	state space discretizations, collaborative multi-robot domains, reinforcement learning, function approximation
35	Atsushi Wada, Keiki Takadama, Katsunori Shimohara	Learning classifier system equivalent with reinforcement learning with function approximation.	GECCO Workshops	2005	DBLP DOI BibTeX RDF	reinforcement learning, learning classifier systems, function approximation, genetic-based machine learning
35	Katja Verbeeck, Ann Nowé, Karl Tuyls	Coordinated exploration in multi-agent reinforcement learning: an application to load-balancing.	AAMAS	2005	DBLP DOI BibTeX RDF	load-balancing, reinforcement learning, exploration
35	Reinaldo A. C. Bianchi, Carlos H. C. Ribeiro, Anna Helena Reali Costa	Heuristically Accelerated Q-Learning: A New Approach to Speed Up Reinforcement Learning.	SBIA	2004	DBLP DOI BibTeX RDF	Reinforcement Learning, Cognitive Robotics
35	Fang Liu, Jianbo Su	An Online Feature Learning Algorithm Using HCI-Based Reinforcement Learning.	ISNN (1)	2004	DBLP DOI BibTeX RDF	Feature learning, HCI, reinforcement learning
35	Paul Juell, Patrick Paulson	Using Reinforcement Learning for Similarity Assessment in Case-Based Systems.	IEEE Intell. Syst.	2003	DBLP DOI BibTeX RDF	neural networks, learning, reinforcement learning, reasoning, case-based reasoning
35	Pier Luca Lanzi	Learning classifier systems from a reinforcement learning perspective.	Soft Comput.	2002	DBLP DOI BibTeX RDF	Genetic algorithms, Reinforcement learning, XCS, Q-learning
35	Nobuo Suematsu, Akira Hayashi	A multiagent reinforcement learning algorithm using extended optimal response.	AAMAS	2002	DBLP DOI BibTeX RDF	Markov games, reinforcement learning, Q-learning, stochastic games
35	Carlos H. C. Ribeiro	Embedding a Priori Knowledge in Reinforcement Learning.	J. Intell. Robotic Syst.	1998	DBLP DOI BibTeX RDF	Q-learning algorithm, experience generalisation, reinforcement learning
35	Cheng-Peng Kuan, Kuu-young Young	Reinforcement Learning and Robust Control for Robot Compliance Tasks.	J. Intell. Robotic Syst.	1998	DBLP DOI BibTeX RDF	compliance tasks, reinforcement learning, robust control
34	Dongbing Gu, Erfu Yang	Fuzzy Policy Reinforcement Learning in Cooperative Multi-robot Systems.	J. Intell. Robotic Syst.	2007	DBLP DOI BibTeX RDF	flocking behavior, policy gradient reinforcement learning, cooperative control, multi-agent reinforcement learning
31	Markus M. Geipel, Michael Beetz	Learning to Shoot Goals Analysing the Learning Process and the Resulting Policies.	RoboCup	2006	DBLP DOI BibTeX RDF
31	Hwan-Chun Myung, Z. Zenn Bien	Similarity between Fuzzy Multi-objective Control and Eligibility.	AFSS	2002	DBLP DOI BibTeX RDF
30	Haifeng Chen, Guofei Jiang, Hui Zhang 0002, Kenji Yoshihira	Boosting the performance of computing systems through adaptive configuration tuning.	SAC	2009	DBLP DOI BibTeX RDF	configuration tuning, reinforcement learning, system management
30	Olivier Pietquin	Machine Learning for Spoken Dialogue Management: An Experiment with Speech-Based Database Querying.	AIMSA	2006	DBLP DOI BibTeX RDF	Reinforcement Learning, Spoken Dialogue Systems, Dialogue Management
30	Ji Wu 0006, Chaoqun Ye, Shiyao Jin	Opponent Learning for Multi-agent System Simulation.	RSKT	2006	DBLP DOI BibTeX RDF	reinforcement learning, Markov decision processes, multi-agent simulation, Opponent modeling
30	Aram Galstyan, Karl Czajkowski, Kristina Lerman	Resource Allocation in the Grid with Learning Agents.	J. Grid Comput.	2005	DBLP DOI BibTeX RDF	multi-agent system, Grid, resource allocation, reinforcement learning
30	Xin-Jing Wang, Wei-Ying Ma, Lei Zhang 0001, Xing Li 0001	Iteratively clustering web images based on link and attribute reinforcements.	ACM Multimedia	2005	DBLP DOI BibTeX RDF	iterative reinforcement, image clustering, link mining
30	Atsushi Wada, Keiki Takadama, Katsunori Shimohara	Counter example for Q-bucket-brigade under prediction problem.	GECCO Workshops	2005	DBLP DOI BibTeX RDF	reinforcement learning, convergence, learning classifier systems, function approximation, genetic-based machine learning
30	Reda Alhajj, Mehmet Kaya	Multiagent Association Rules Mining in Cooperative Learning Systems.	ADMA	2005	DBLP DOI BibTeX RDF	pursuit domain, data mining, association rules, reinforcement learning, multiagent systems
30	Alexandros M. Grigoriadis, Georgios Paliouras	Focused Crawling Using Temporal Difference-Learning.	SETN	2004	DBLP DOI BibTeX RDF	Machine learning, reinforcement learning, web mining, focused crawling
30	Kagan Tumer, Adrian K. Agogino, David H. Wolpert	Learning sequences of actions in collectives of autonomous agents.	AAMAS	2002	DBLP DOI BibTeX RDF	MAS, reinforcement learning, Q-learning
30	Reinaldo A. C. Bianchi, Raquel Ros, Ramón López de Mántaras	Improving Reinforcement Learning by Using Case Based Heuristics.	ICCBR	2009	DBLP DOI BibTeX RDF
30	Fangju Wang, Kyle Swegles	An Online Algorithm for Applying Reinforcement Learning to Handle Ambiguity in Spoken Dialogues.	TAMC	2009	DBLP DOI BibTeX RDF
30	Patrick D. Roberts, Roberto A. Santiago, Gerardo Lafferriere	An implementation of reinforcement learning based on spike timing dependent plasticity.	Biol. Cybern.	2008	DBLP DOI BibTeX RDF	Learning, Computational neuroscience, Synaptic plasticity, Spiking neuron model
30	Dimitri Ognibene, Christian Balkenius, Gianluca Baldassarre	A Reinforcement-Learning Model of Top-Down Attention Based on a Potential-Action Map.	The Challenge of Anticipation	2008	DBLP DOI BibTeX RDF
30	Lasheng Yu, Alonso Marin, Fei Hong, Jian Lin	Studies on Hierarchical Reinforcement Learning in Multi-Agent Environment.	ICNSC	2008	DBLP DOI BibTeX RDF
30	Yuxi Li, Dale Schuurmans	Policy Iteration for Learning an Exercise Policy for American Options.	EWRL	2008	DBLP DOI BibTeX RDF
30	Takeshi Shibuya, Shingo Shimada, Tomoki Hamagami	Experimental study of the eligibility traces in complex valued reinforcement learning.	SMC	2007	DBLP DOI BibTeX RDF
30	Toshihiko Watanabe, Yoshiya Takahashi	Hierarchical reinforcement learning using a modular fuzzy model for multi-agent problem.	SMC	2007	DBLP DOI BibTeX RDF
30	Terrence S. T. Mak, Kai-Pui Lam, H. S. Ng, Guy Rachmuth, Chi-Sang Poon	A Current-Mode Analog Circuit for Reinforcement Learning Problems.	ISCAS	2007	DBLP DOI BibTeX RDF
30	Erfu Yang, Dongbing Gu	A Multiagent Fuzzy Policy Reinforcement Learning Algorithm with Application to Leader-Follower Robotic Systems.	IROS	2006	DBLP DOI BibTeX RDF
30	J. J. McDowell, Zahra Ansari	The Quantitative Law of Effect is a Robust Emergent Property of an Evolutionary Algorithm for Reinforcement Learning.	ECAL	2005	DBLP DOI BibTeX RDF
30	SeungGwan Lee, TaeChoong Chung	A Reinforcement Learning Algorithm Using Temporal Difference Error in Ant Model.	IWANN	2005	DBLP DOI BibTeX RDF
30	Tom Croonenborghs, Karl Tuyls, Jan Ramon, Maurice Bruynooghe	Multi-agent Relational Reinforcement Learning.	LAMAS	2005	DBLP DOI BibTeX RDF