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The Top 23 Offline Reinforcement Learning Open Source Projects

Open source projects categorized as Offline Reinforcement Learning
Categories > Offline Reinforcement Learning
Corl ⭐ 769
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
most recent commit 10 months ago
Jaxrl ⭐ 585
JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.
most recent commit 2 years ago
Kanachan ⭐ 239
A Japanese (Riichi) Mahjong AI Framework
most recent commit 5 months ago
Offlinerl Kit ⭐ 165
An elegant PyTorch offline reinforcement learning library for researchers.
most recent commit 7 months ago
Offlinerl ⭐ 124
A collection of offline reinforcement learning algorithms. This is a mirror repo from https://agit.ai/Polixir/OfflineRL
most recent commit 6 months ago
Cql ⭐ 72
PyTorch implementation of the Offline Reinforcement Learning algorithm CQL. Includes the versions DQN-CQL and SAC-CQL for discrete and continuous action spaces.
most recent commit 10 months ago
Neorl ⭐ 70
This is a mirror of https://agit.ai/Polixir/NeoRL.git
most recent commit a year ago
Latentplan ⭐ 60
Code release for Efficient Planning in a Compact Latent Action Space (ICLR2023) https://arxiv.org/abs/2208.10291.
most recent commit a year ago
Og Marl ⭐ 59
Datasets with baselines for offline multi-agent reinforcement learning 🤖
most recent commit 5 months ago
Min Decision Transformer ⭐ 47
Minimal implementation of Decision Transformer: Reinforcement Learning via Sequence Modeling in PyTorch for mujoco control tasks in OpenAI gym
most recent commit 2 years ago
Focal Iclr ⭐ 46
Code for FOCAL Paper Published at ICLR 2021
most recent commit 6 months ago
Por ⭐ 41
Author's implementation of POR in "A Policy-Guided Imitation Approach for Offline Reinforcement Learning"
most recent commit a year ago
Edac ⭐ 38
Official PyTorch implementation of "Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble" (NeurIPS'21)
most recent commit 2 years ago
Sac N Jax ⭐ 36
Single-file SAC-N implementation on jax with flax and equinox. 10x faster than pytorch
most recent commit a year ago
Rebrac ⭐ 31
Author's implementation of ReBRAC, a minimalist improvement upon TD3+BC
most recent commit a year ago
Loopquest ⭐ 26
A Production Tool for Embodied AI
total releases 11most recent commit 6 months ago
Rewardshifting ⭐ 20
Code for paper Exploiting Reward Shifting in Value-Based Deep RL
most recent commit 8 months ago
Maple ⭐ 20
The Official Code for Offline Model-based Adaptable Policy Learning (NeurIPS'21 & TPAMI)
most recent commit 5 months ago
Fisor ⭐ 19
[ICLR 2024] The official implementation of "Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model"
most recent commit 5 months ago
Dwbc ⭐ 19
Author's implementation of DWBC in "Discriminator-Weighted Offline Imitation Learning from Suboptimal Demonstrations"
most recent commit a year ago
Rosmo ⭐ 19
Code for "Efficient Offline Policy Optimization with a Learned Model", ICLR2023
most recent commit a year ago
Offlinerl ⭐ 15
Experiment for Understanding the Effects of Dataset Characteristics on Offline Reinforcement Learning
most recent commit a year ago
Stochastic Muzero ⭐ 14
Pytorch Implementation of Stochastic MuZero for gym environment. This algorithm is capable of supporting a wide range of action and observation spaces, including both discrete and continuous variations.
most recent commit a year ago
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