Improving generalization in reinforcement learning through forked agents

no code implementations • 13 Dec 2022 • Olivier Moulin, Vincent Francois-Lavet, Mark Hoogendoorn

An eco-system of agents each having their own policy with some, but limited, generalizability has proven to be a reliable approach to increase generalization across procedurally generated environments.

reinforcement-learning Reinforcement Learning (RL) +1

Improving generalization to new environments and removing catastrophic forgetting in Reinforcement Learning by using an eco-system of agents

no code implementations • 13 Apr 2022 • Olivier Moulin, Vincent Francois-Lavet, Paul Elbers, Mark Hoogendoorn

Adapting a Reinforcement Learning (RL) agent to an unseen environment is a difficult task due to typical over-fitting on the training environment.

reinforcement-learning Reinforcement Learning (RL)