1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2024
Auxiliary Reward Generation with Transition Distance Representation Learning
Siyuan Li, Shijie Han, Yingnan Zhao +2
Reinforcement learning (RL) has shown its strength in challenging sequential decision-making problems. The reward function in RL is crucial to the learning performance, as it serve…
cs.LG2021★ 1 cited
Damped Anderson Mixing for Deep Reinforcement Learning: Acceleration, Convergence, and Stabilization
Ke Sun, Yafei Wang, Yi Liu +5
Anderson mixing has been heuristically applied to reinforcement learning (RL) algorithms for accelerating convergence and improving the sampling efficiency of deep RL. Despite its…