E-MCTS: Deep Exploration in Model-Based Reinforcement Learning by Planning with Epistemic Uncertainty

no code implementations • 21 Oct 2022 • Yaniv Oren, Matthijs T. J. Spaan, Wendelin Böhmer

One of the most well-studied and highly performing planning approaches used in Model-Based Reinforcement Learning (MBRL) is Monte-Carlo Tree Search (MCTS).

Model-based Reinforcement Learning reinforcement-learning +1