V-D-4RL
Emerging5papers using it
2024first seen
The 'V-D-4RL' dataset/benchmark contains a collection of environments designed to evaluate the performance of offline reinforcement learning algorithms in various complex scenarios.
Papers using V-D-4RL (5)
- MOORL: A Framework for Integrating Offline-Online Reinforcement LearningPretraining a Shared Q-Network for Data-Efficient Offline Reinforcement LearningBehavior Preference Regression for Offline Reinforcement LearningModel-based Offline Reinforcement Learning with Lower Expectile
Q-LearningConstrained Latent Action Policies for Model-Based Offline Reinforcement Learning