3 papers
stat.ML2026
Conditional Flow Models for Offline Maximum Entropy Reinforcement Learning
Hao Cheng, Yuling Jiao, Lican Kang +2
Offline maximum entropy reinforcement learning seeks to estimate the optimal soft action-value function \(Q^*\) from a fixed dataset without further interaction with the environmen…
cs.LG2026
Deep Weighted Bellman Residual Minimization for Estimation
Lican Kang, Jerry Zhijian Yang, Cheng Yuan +1
Off-policy evaluation is a foundational component of offline reinforcement learning, aiming to assess and optimize policy performance using pre-collected datasets. However, such da…
stat.ML2026
Offline Deep Q* Estimation with Diffusion Models
Xiaohong Chen, Yuling Jiao, Lican Kang +2
In offline RL, estimating the optimal action-value function can be formulated as solving the optimal Bellman equation based solely on offline observations. A fundamental chal…