Inish M. D'Souza

How to Find and Reuse Policies for Continuous Adaptation in Lifelong Reinforcement Learning

In lifelong reinforcement learning, retaining previously learned policies is not sufficient for effective transfer to a new task. Useful knowledge may be distributed across several prior policies, and its relevance may change as the learner acquires experience. One hypothesis is that task similarity can be effectively...