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
Brains, Behavior and Robotics
Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
Policy Invariance Under Reward Transformations: Theory and Application to Reward Shaping
ICML '99 Proceedings of the Sixteenth International Conference on Machine Learning
The CMUnited-99 Champion Simulator Team
RoboCup-99: Robot Soccer World Cup III
State abstraction for programmable reinforcement learning agents
Eighteenth national conference on Artificial intelligence
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
Generalizing plans to new environments in relational MDPs
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Probabilistic policy reuse in a reinforcement learning agent
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Graph-Based Analysis of Human Transfer Learning Using a Game Testbed
IEEE Transactions on Knowledge and Data Engineering
Transfer via inter-task mappings in policy search reinforcement learning
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
Multiagent reinforcement learning and self-organization in a network of agents
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
Batch reinforcement learning in a complex domain
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
Multigrid Reinforcement Learning with Reward Shaping
ICANN '08 Proceedings of the 18th international conference on Artificial Neural Networks, Part I
An empirical analysis of value function-based and policy search reinforcement learning
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 2
A task specification language for bootstrap learning
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 2
Experiments with Adaptive Transfer Rate in Reinforcement Learning
Knowledge Acquisition: Approaches, Algorithms and Applications
Using Homomorphisms to transfer options across continuous reinforcement learning domains
AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
Value functions for RL-based behavior transfer: a comparative study
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 2
General game learning using knowledge transfer
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
Transferring learned control-knowledge between planners
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
Probabilistic Policy Reuse for inter-task transfer learning
Robotics and Autonomous Systems
Task allocation learning in a multiagent environment: Application to the RoboCupRescue simulation
Multiagent and Grid Systems
Patching approximate solutions in reinforcement learning
ECML'06 Proceedings of the 17th European conference on Machine Learning
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-agent reinforcement learning for simulating pedestrian navigation
ALA'11 Proceedings of the 11th international conference on Adaptive and Learning Agents
ACM SIGKDD Explorations Newsletter
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Temporal difference (TD) learning methods [22] have become popular reinforcement learning techniques in recent years. TD methods have had some experimental successes and have been shown to exhibit some desirable properties in theory, but have often been found very slow in practice. A key feature of TD methods is that they represent policies in terms of value functions. In this paper we introduce behavior transfer, a novel approach to speeding up TD learning by transferring the learned value function from one task to a second related task. We present experimental results showing that autonomous learners are able to learn one multiagent task and then use behavior transfer to markedly reduce the total training time for a more complex task.