4 citations · 4 across the 1 of their papers we have counts for
2 papers
cs.LG2023★ 4 cited
Rethinking Decision Transformer via Hierarchical Reinforcement Learning
Yi Ma, Chenjun Xiao, Hebin Liang +1
Decision Transformer (DT) is an innovative algorithm leveraging recent advances of the transformer architecture in reinforcement learning (RL). However, a notable limitation of DT…
cs.AI2023
AlignDiff: Aligning Diverse Human Preferences via Behavior-Customisable Diffusion Model
Zibin Dong, Yifu Yuan, Jianye Hao +7
Aligning agent behaviors with diverse human preferences remains a challenging problem in reinforcement learning (RL), owing to the inherent abstractness and mutability of human pre…