We present AIRS: Automatic Intrinsic Reward Shaping that intelligently a...
We present MEM: Multi-view Exploration Maximization for tackling complex...
Exploration is critical for deep reinforcement learning in complex
envir...
One of the most critical challenges in deep reinforcement learning is to...
Reinforcement learning (RL) is one of the three basic paradigms of machi...
Maintaining long-term exploration ability remains one of the challenges ...
In this paper, we investigate the problem of the inverse reinforcement
l...
In this work, we develop practical user scheduling algorithms for downli...