Incrementally Learning Functions of the Return

no code implementations • 5 Jul 2019 • Brendan Bennett, Wesley Chung, Muhammad Zaheer, Vincent Liu

Temporal difference methods enable efficient estimation of value functions in reinforcement learning in an incremental fashion, and are of broader interest because they correspond learning as observed in biological systems.

Reinforcement Learning (RL)

Organizing Experience: A Deeper Look at Replay Mechanisms for Sample-based Planning in Continuous State Domains

no code implementations • 12 Jun 2018 • Yangchen Pan, Muhammad Zaheer, Adam White, Andrew Patterson, Martha White

We show that a model, as opposed to a replay buffer, is particularly useful for specifying which states to sample from during planning, such as predecessor states that propagate information in reverse from a state more quickly.