A formal theory of plan recognition
A formal theory of plan recognition
The structure-mapping engine: algorithm and examples
Artificial Intelligence
The mechanisms of analogical learning
Readings in knowledge acquisition and learning
Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
Retrieval, reuse, revision and retention in case-based reasoning
The Knowledge Engineering Review
Constructing informative priors using transfer learning
ICML '06 Proceedings of the 23rd international conference on Machine learning
Graph-Based Domain Mapping for Transfer Learning in General Games
ECML '07 Proceedings of the 18th European conference on Machine Learning
Logical Hierarchical Hidden Markov Models for Modeling User Activities
ILP '08 Proceedings of the 18th international conference on Inductive Logic Programming
Value-function-based transfer for reinforcement learning using structure mapping
AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
Fast hierarchical goal schema recognition
AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
TIELT: a testbed for gaming environments
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 4
Measuring the level of transfer learning by an AP physics problem-solver
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 1
Achieving far transfer in an integrated cognitive architecture
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 3
Analogical learning in a turn-based strategy game
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
A general model for online probabilistic plan recognition
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Use of design patterns in analogy-based design
Advanced Engineering Informatics
Location-based activity recognition using relational Markov networks
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Search and Reasoning in problem solving
Artificial Intelligence
Case-based plan recognition in computer games
ICCBR'03 Proceedings of the 5th international conference on Case-based reasoning: Research and Development
A relational hierarchical model for decision-theoretic assistance
ILP'07 Proceedings of the 17th international conference on Inductive logic programming
ICCBR'10 Proceedings of the 18th international conference on Case-Based Reasoning Research and Development
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
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Positive transfer learning (TL) occurs when, after gaining experience from learning how to solve a (source) task, the same learner can exploit this experience to improve performance and/or learning on a different (target) task. TL methods are typically complex, and case-based reasoning can support them in multiple ways. We introduce a method for recognizing intent in a source task, and then applying that knowledge to improve the performance of a case-based reinforcement learner in a target task. We report on its ability to significantly outperform baseline approaches for a control task in a simulated game of American football. We also compare our approach to an alternative approach where source and target task learning occur concurrently, and discuss the tradeoffs between them.