Recently, deep multi-agent reinforcement learning (MARL) has gained
sign...
In this paper, we propose a robust imitation learning (IL) framework tha...
In this paper, we propose a max-min entropy framework for reinforcement
...
In this paper, a deep reinforcement learning (DRL)-based approach to the...
In this paper, we consider cross-domain imitation learning (CDIL) in whi...
Policy entropy regularization is commonly used for better exploration in...
In importance sampling (IS)-based reinforcement learning algorithms such...