Learning from Demonstration without Demonstrations

Tom Blau, Gilad Francis, Philippe Morere

State-of-the-art reinforcement learning (RL) algorithms suffer from high sample complexity, particularly in the sparse reward case. A popular strategy for mitigating this problem i…