Computationally Efficient RL under Linear Bellman Completeness for Deterministic Dynamics

Runzhe Wu, Ayush Sekhari, Akshay Krishnamurthy +1

We study computationally and statistically efficient Reinforcement Learning algorithms for the linear Bellman Complete setting. This setting uses linear function approximation to c…