26 citations · 27 across the 5 of their papers we have counts for
Showing 2022 · cs.LGShow all
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cs.LG2022★ 1 cited
Unified Policy Optimization for Continuous-action Reinforcement Learning in Non-stationary Tasks and Games
Rong-Jun Qin, Fan-Ming Luo, Hong Qian +1
This paper addresses policy learning in non-stationary environments and games with continuous actions. Rather than the classical reward maximization mechanism, inspired by the idea…
cs.LG2022★ 26 cited
A Survey on Model-based Reinforcement Learning
Fan-Ming Luo, Tian Xu, Hang Lai +3
Reinforcement learning (RL) solves sequential decision-making problems via a trial-and-error process interacting with the environment. While RL achieves outstanding success in play…
cs.LG2022
Transferable Reward Learning by Dynamics-Agnostic Discriminator Ensemble
Fan-Ming Luo, Xingchen Cao, Rong-Jun Qin +1
Recovering reward function from expert demonstrations is a fundamental problem in reinforcement learning. The recovered reward function captures the motivation of the expert. Agent…