2019
Explicit Planning for Efficient Exploration in Reinforcement Learning
NeurIPS 2019poster
Efficient exploration is crucial to achieving good performance in reinforcement learning. Existing systematic exploration strategies (R-MAX, MBIE, UCRL, etc.), despite being promising theoretically, are essentially greedy strategies that follow some predefined heuristics. When the heuristics do not…