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Found 3 papers, 1 papers with code
Knowledge Transfer for Cross-Domain Reinforcement Learning: A Systematic Review
Reinforcement Learning (RL) provides a framework in which agents can be trained, via trial and error, to solve complex decision-making problems.
Similarity-based Knowledge Transfer for Cross-Domain Reinforcement Learning
In this article, we study how to measure the similarity between cross-domain reinforcement learning tasks to select a source of knowledge that will improve the performance of the learning agent.
Knowledge-Based Hierarchical POMDPs for Task Planning
The main goal in task planning is to build a sequence of actions that takes an agent from an initial state to a goal state.
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