activity
20232026
most citedContext Shift Reduction for Offline Meta-Reinforcement Learning

1 citations · 3 across the 7 of their papers we have counts for

collaborators
Showing 2025Show all

2 papers · 1 filter

cs.LG2025

Efficient Diffusion Planning with Temporal Diffusion

Jiaming Guo, Rui Zhang, Zerun Li +7

Diffusion planning is a promising method for learning high-performance policies from offline data. To avoid the impact of discrepancies between planning and reality on performance,…

cs.LG2025

Policy Constraint by Only Support Constraint for Offline Reinforcement Learning

Yunkai Gao, Jiaming Guo, Fan Wu +1

Offline reinforcement learning (RL) aims to optimize a policy by using pre-collected datasets, to maximize cumulative rewards. However, offline reinforcement learning suffers chall…