A Generic Competitive-Cooperative Actor-Critic Framework for Deep Reinforcement Learning
{{output}}
In the field of Deep reinforcement learning (DRL), enhancing exploration capabilities and improving the accuracy of Q-value estimation remain two major challenges. Recently, double-actor DRL methods have emerged as a promising class of DRL approaches, achievin... ...
