Sami Nur Islam

Langevin Soft Actor-Critic: Efficient Exploration through Uncertainty-Driven Critic Learning

Existing actor-critic algorithms, which are popular for continuous control reinforcement learning (RL) tasks, suffer from poor sample efficiency due to lack of principled exploration mechanism within them. Motivated by the success of Thompson sampling for efficient exploration in RL, we propose a no…