Zai-Wei Chen

Reinforcement Learning with Multi-Step Transition Predictions: A Bellman Theory

Multi-step predictions of future transition realizations can improve reinforcement learning, but their value remains difficult to quantify. Directly including these predictions in the state can lead to exponential state-space growth, making direct dynamic programming computationally expensive. We study discounted finit...