TD-Gammon, a self-teaching backgammon program, achieves master-level play
Neural Computation
Reinforcement learning with replacing eligibility traces
Machine Learning - Special issue on reinforcement learning
Creating advice-taking reinforcement learners
Machine Learning - Special issue on reinforcement learning
Learning in the presence of concept drift and hidden contexts
Machine Learning
Machine Learning - Special issue on inductive transfer
Planning and acting in partially observable stochastic domains
Artificial Intelligence
Learning to learn
Between MDPs and semi-MDPs: a framework for temporal abstraction in reinforcement learning
Artificial Intelligence
Relational reinforcement learning
Machine Learning - Special issue on inducive logic programming
Markov Decision Processes: Discrete Stochastic Dynamic Programming
Markov Decision Processes: Discrete Stochastic Dynamic Programming
A Calculus of Communicating Systems
A Calculus of Communicating Systems
Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
Multiagent Systems: A Survey from a Machine Learning Perspective
Autonomous Robots
Kernel-Based Reinforcement Learning
Machine Learning
Structure in the Space of Value Functions
Machine Learning
Learning to Predict by the Methods of Temporal Differences
Machine Learning
Chunking in Soar: The Anatomy of a General Learning Mechanism
Machine Learning
The Complexity of Decentralized Control of Markov Decision Processes
Mathematics of Operations Research
Near-Optimal Reinforcement Learning in Polynominal Time
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Policy Invariance Under Reward Transformations: Theory and Application to Reward Shaping
ICML '99 Proceedings of the Sixteenth International Conference on Machine Learning
Model Minimization in Hierarchical Reinforcement Learning
Proceedings of the 5th International Symposium on Abstraction, Reformulation and Approximation
Bounding the Suboptimality of Reusing Subproblem
IJCAI '99 Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence
PEGASUS: A policy search method for large MDPs and POMDPs
UAI '00 Proceedings of the 16th Conference on Uncertainty in Artificial Intelligence
State abstraction for programmable reinforcement learning agents
Eighteenth national conference on Artificial intelligence
Using Options for Knowledge Transfer in Reinforcement Learning TITLE2:
Using Options for Knowledge Transfer in Reinforcement Learning TITLE2:
Least-squares policy iteration
The Journal of Machine Learning Research
Transfer of Experience Between Reinforcement Learning Environments with Progressive Difficulty
Artificial Intelligence Review
Tree-Based Batch Mode Reinforcement Learning
The Journal of Machine Learning Research
Exploration and apprenticeship learning in reinforcement learning
ICML '05 Proceedings of the 22nd international conference on Machine learning
Learning approximate preconditions for methods in hierarchical plans
ICML '05 Proceedings of the 22nd international conference on Machine learning
Autonomous shaping: knowledge transfer in reinforcement learning
ICML '06 Proceedings of the 23rd international conference on Machine learning
An intrinsic reward mechanism for efficient exploration
ICML '06 Proceedings of the 23rd international conference on Machine learning
Probabilistic policy reuse in a reinforcement learning agent
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
On the role of tracking in stationary environments
Proceedings of the 24th international conference on Machine learning
Cross-domain transfer for reinforcement learning
Proceedings of the 24th international conference on Machine learning
Multi-task reinforcement learning: a hierarchical Bayesian approach
Proceedings of the 24th international conference on Machine learning
Transfer Learning via Inter-Task Mappings for Temporal Difference Learning
The Journal of Machine Learning Research
The Journal of Machine Learning Research
Transfer via inter-task mappings in policy search reinforcement learning
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
Transfer in variable-reward hierarchical reinforcement learning
Machine Learning
Value-function-based transfer for reinforcement learning using structure mapping
AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
Using Homomorphisms to transfer options across continuous reinforcement learning domains
AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
Cross-domain knowledge transfer using structured representations
AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 2
Improving action selection in MDP's via knowledge transfer
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 2
Efficient reinforcement learning with relocatable action models
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 1
A model of inductive bias learning
Journal of Artificial Intelligence Research
Hierarchical reinforcement learning with the MAXQ value function decomposition
Journal of Artificial Intelligence Research
Accelerating reinforcement learning by composing solutions of automatically identified subtasks
Journal of Artificial Intelligence Research
Accelerating reinforcement learning through implicit imitation
Journal of Artificial Intelligence Research
Reinforcement learning: a survey
Journal of Artificial Intelligence Research
Infinite-horizon policy-gradient estimation
Journal of Artificial Intelligence Research
Training and tracking in robotics
IJCAI'85 Proceedings of the 9th international joint conference on Artificial intelligence - Volume 1
General game learning using knowledge transfer
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Building portable options: skill transfer in reinforcement learning
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Transfer learning in real-time strategy games using hybrid CBR/RL
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
An experts algorithm for transfer learning
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Effective control knowledge transfer through learning skill and representation hierarchies
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Efficient Bayesian task-level transfer learning
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Generalizing plans to new environments in relational MDPs
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
A reinforcement learning approach to job-shop scheduling
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Model-based exploration in continuous state spaces
SARA'07 Proceedings of the 7th International conference on Abstraction, reformulation, and approximation
Learning relational options for inductive transfer in relational reinforcement learning
ILP'07 Proceedings of the 17th international conference on Inductive logic programming
Model minimization in Markov decision processes
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
Model based Bayesian exploration
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Skill acquisition via transfer learning and advice taking
ECML'06 Proceedings of the 17th European conference on Machine Learning
Using advice to transfer knowledge acquired in one reinforcement learning task to another
ECML'05 Proceedings of the 16th European conference on Machine Learning
Multi-task evolutionary shaping without pre-specified representations
Proceedings of the 12th annual conference on Genetic and evolutionary computation
Inter-robot transfer learning for perceptual classification
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1
Using spatial hints to improve policy reuse in a reinforcement learning agent
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1
Cultivating desired behaviour: policy teaching via environment-dynamics tweaks
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1
Using bisimulation for policy transfer in MDPs
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1
Generalized learning automata for multi-agent reinforcement learning
AI Communications - European Workshop on Multi-Agent Systems (EUMAS) 2009
An agent-based approach to the dynamic price problem
KES-AMSTA'11 Proceedings of the 5th KES international conference on Agent and multi-agent systems: technologies and applications
Integrating reinforcement learning with human demonstrations of varying ability
The 10th International Conference on Autonomous Agents and Multiagent Systems - Volume 2
Investigation in transfer learning: better way to apply transfer learning between agents
MLDM'11 Proceedings of the 7th international conference on Machine learning and data mining in pattern recognition
Market-based dynamic task allocation using heuristically accelerated reinforcement learning
EPIA'11 Proceedings of the 15th Portugese conference on Progress in artificial intelligence
Abstraction and generalization in reinforcement learning: a summary and framework
ALA'09 Proceedings of the Second international conference on Adaptive and Learning Agents
Stochastic abstract policies for knowledge transfer in robotic navigation tasks
MICAI'11 Proceedings of the 10th Mexican international conference on Advances in Artificial Intelligence - Volume Part I
Reinforcement learning transfer via common subspaces
ALA'11 Proceedings of the 11th international conference on Adaptive and Learning Agents
Using cases as heuristics in reinforcement learning: a transfer learning application
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Two
Transfer learning for activity recognition via sensor mapping
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
Transfer learning in spatial reasoning puzzles
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
Automatic construction of temporally extended actions for MDPs using bisimulation metrics
EWRL'11 Proceedings of the 9th European conference on Recent Advances in Reinforcement Learning
EWRL'11 Proceedings of the 9th European conference on Recent Advances in Reinforcement Learning
Transferring evolved reservoir features in reinforcement learning tasks
EWRL'11 Proceedings of the 9th European conference on Recent Advances in Reinforcement Learning
Transfer learning via multiple inter-task mappings
EWRL'11 Proceedings of the 9th European conference on Recent Advances in Reinforcement Learning
Multi-Task reinforcement learning: shaping and feature selection
EWRL'11 Proceedings of the 9th European conference on Recent Advances in Reinforcement Learning
Transfer learning in multi-agent reinforcement learning domains
EWRL'11 Proceedings of the 9th European conference on Recent Advances in Reinforcement Learning
Reinforcement learning transfer via sparse coding
Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems - Volume 1
Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems - Volume 1
Towards student/teacher learning in sequential decision tasks
Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems - Volume 3
Adaptive reservoir computing through evolution and learning
Neurocomputing
Budgeted knowledge transfer for state-wise heterogeneous RL agents
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part I
Reinforcement learning transfer using a sparse coded inter-task mapping
EUMAS'11 Proceedings of the 9th European conference on Multi-Agent Systems
Apprenticeship learning with few examples
Neurocomputing
Transferring task models in Reinforcement Learning agents
Neurocomputing
Approximate solutions for factored Dec-POMDPs with many agents
Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems
Teaching on a budget: agents advising agents in reinforcement learning
Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems
Learning in non-stationary MDPs as transfer learning
Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems
Machine learning for interactive systems and robots: a brief introduction
Proceedings of the 2nd Workshop on Machine Learning for Interactive Systems: Bridging the Gap Between Perception, Action and Communication
Construction of approximation spaces for reinforcement learning
The Journal of Machine Learning Research
Learning potential functions and their representations for multi-task reinforcement learning
Autonomous Agents and Multi-Agent Systems
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The reinforcement learning paradigm is a popular way to address problems that have only limited environmental feedback, rather than correctly labeled examples, as is common in other machine learning contexts. While significant progress has been made to improve learning in a single task, the idea of transfer learning has only recently been applied to reinforcement learning tasks. The core idea of transfer is that experience gained in learning to perform one task can help improve learning performance in a related, but different, task. In this article we present a framework that classifies transfer learning methods in terms of their capabilities and goals, and then use it to survey the existing literature, as well as to suggest future directions for transfer learning work.