Hallucinating Value: A Pitfall of Dyna-style Planning with Imperfect Environment Models

no code implementations • 8 Jun 2020 • Taher Jafferjee, Ehsan Imani, Erin Talvitie, Martha White, Micheal Bowling

Dyna-style reinforcement learning (RL) agents improve sample efficiency over model-free RL agents by updating the value function with simulated experience generated by an environment model.

Reinforcement Learning (RL)