Lucas Lehnert

Successor Features Combine Elements of Model-Free and Model-based Reinforcement Learning

2019 · arXiv (Cornell University)

A key question in reinforcement learning is how an intelligent agent can generalize knowledge across different inputs. By generalizing across different inputs, information learned for one input can be immediately reused for improving predictions for …