D4RL

The 'D-4RL' dataset/benchmark is used to evaluate the performance of reinforcement learning algorithms in diverse tasks by providing a set of environments with varying levels of difficulty and complexity.

Papers using D4RL (2)

Training-Free Adaptation of Diffusion Models via Doob's $h$-Transform2026DiffPoGAN: Diffusion Policies with Generative Adversarial Networks for Offline Reinforcement Learning2024