Nasimul Noman

Boosting Exploration in Actor-Critic Algorithms by Incentivizing Plausible Novel States

2022 · arXiv (Cornell University)

Actor-critic (AC) algorithms are a class of model-free deep reinforcement learning algorithms, which have proven their efficacy in diverse domains, especially in solving continuous control problems. Improvement of exploration (action entropy) and exploitation (expected return) …