2 papers
cs.LG2026
Hypercube Policy Regularization Framework for Offline Reinforcement Learning
Yi Shen, Hanyan Huang
Offline reinforcement learning has received extensive attention from scholars because it avoids the interaction between the agent and the environment by learning a policy through a…
cs.LG2024
Grid-Mapping Pseudo-Count Constraint for Offline Reinforcement Learning
Yi Shen, Hanyan Huang
Offline reinforcement learning learns from a static dataset without interacting with environments, which ensures security and thus owns a good application prospect. However, direct…