offline-rl topic
Minari
A standard format for offline reinforcement learning datasets, with popular reference datasets and related utilities
offline_rl
Pytorch implementation of state-of-the-art offline reinforcement learning algorithms.
Implicit-Q-Learning
PyTorch implementation of the implicit Q-learning algorithm (IQL)
eop
Code for the paper "Showing Your Offline Reinforcement Learning Work: Online Evaluation Budget Matters", ICML 2022
JaxCQL
Conservative Q learning in Jax
rosmo
Codes for "Efficient Offline Policy Optimization with a Learned Model", ICLR2023
DSRL
🔥 Datasets and env wrappers for offline safe reinforcement learning
medkit-learn
The Medkit-Learn(ing) Environment: Medical Decision Modelling through Simulation (NeurIPS 2021) by Alex J. Chan, Ioana Bica, Alihan Huyuk, Daniel Jarrett, and Mihaela van der Schaar.
diffusion-literature-for-robotics
Summary of key papers and blogs about diffusion models to learn about the topic. Detailed list of all published diffusion robotics papers.