7 datasets found

Offline RL framework called MOAN, which introduces a two-player game to improve the generalization capability of the transition model and mitigate the negative effects of...

This paper presents advanced techniques of training diffusion policies for offline reinforcement learning (RL).

TriFinger dataset for offline reinforcement learning

CORL dataset

The dataset used for training the minimalist approach to offline reinforcement learning.

D4RL datasets for maze2d-umaze, maze2d-medium, maze2d-large, antmaze-umaze, antmaze-medium, antmaze-large, parking, soccer-sim, and soccer-physical tasks

Offline Goal-Conditioned Reinforcement Learning (Offline GCRL) is an important problem in RL that focuses on acquiring diverse goal-oriented skills solely from pre-collected...