most citedAdaptive Policy Learning for Offline-to-Online Reinforcement Learning

3 citations · 3 across the 1 of their papers we have counts for

collaborators

1 paper

cs.LG2023★ 3 cited

Adaptive Policy Learning for Offline-to-Online Reinforcement Learning

Han Zheng, Xufang Luo, Pengfei Wei +3

Conventional reinforcement learning (RL) needs an environment to collect fresh data, which is impractical when online interactions are costly. Offline RL provides an alternative so…