High-quality single-file implementations of SOTA Offline and Offline-to-Online RL algorithms: AWAC, BC, CQL, DT, EDAC, IQL, SAC-N, TD3+BC, LB-SAC, SPOT, Cal-QL, ReBRAC
-
Updated
Aug 3, 2023 - Python
#
d4rl
Here are 8 public repositories matching this topic...
A collection of robotics simulation environments for reinforcement learning
-
Updated
Nov 1, 2024 - Python
Clean single-file implementation of offline RL algorithms in JAX
reinforcement-learning
flax
cql
single-file
jax
awac
iql
offline-rl
offline-reinforcement-learning
d4rl
decision-transformer
td3bc
-
Updated
Aug 15, 2024 - Python
Single-file SAC-N implementation on jax with flax and equinox. 10x faster than pytorch
-
Updated
May 21, 2023 - Python
Codes accompanying the paper "Score Regularized Policy Optimization through Diffusion Behavior" (ICLR 2024).
reinforcement-learning
offline
rl
generative
diffusion
score-based-models
d4rl
srpo
behavior-regularization
-
Updated
Feb 10, 2024 - Python
PyTorch Implementation of Offline Reinforcement Learning algorithms
-
Updated
Jun 16, 2022 - Python
Non-modular implementation of common RL algorithms
reinforcement-learning
deep-reinforcement-learning
pytorch
gym
atari
mujoco
jax
iql
offline-reinforcement-learning
in-sample
implicit-q-learning
d4rl
-
Updated
May 3, 2023 - Python
Learning from Sparse Offline Datasets via Conservative Density Estimation (ICLR 2024)
-
Updated
Sep 27, 2023 - Python
Improve this page
Add a description, image, and links to the d4rl topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the d4rl topic, visit your repo's landing page and select "manage topics."