offline-reinforcement-learning

There are 4 repositories under offline-reinforcement-learning topic.

tinkoff-ai / CORL
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
d4rl gym offline-reinforcement-learning reinforcement-learning
Language:Python 1272
ikostrikov / jaxrl
JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.
deep-learning deep-reinforcement-learning continuous-control reinforcement-learning soft-actor-critic sac deep-deterministic-policy-gradient jax flax gym behavioral-cloning offline-reinforcement-learning batch-reinforcement-learning
Language:Jupyter Notebook 727
yihaosun1124 / OfflineRL-Kit
An elegant PyTorch offline reinforcement learning library for researchers.
deep-learning deep-reinforcement-learning offline-reinforcement-learning offlinerl pytorch reinforcement-learning
Language:Python 359
Allenpandas / Reinforcement-Learning-Papers
📚 List of Top-tier Conference Papers on Reinforcement Learning (RL)，including: NeurIPS, ICML, AAAI, IJCAI, AAMAS, ICLR, ICRA, etc.
deep-reinforcement-learning reinforcement-learning dqn imitation-learning multi-agent-reinforcement-learning policy-gradient q-learning artificial-intelligence reinforcement-learning-papers reinforcement-learning-conferences rl-papers aaai icml ijcai reinforcement-learning-conferences-papers reinforcement-learning-paper neurips hierarchical-reinforcement-learning meta-reinforcement-learning offline-reinforcement-learning
346
Cryolite / kanachan
A Japanese (Riichi) Mahjong AI Framework
mahjong japanese-mahjong riichi-mahjong majsoul mahjong-soul machine-learning game-ai mahjong-ai reinforcement-learning deep-learning deep-reinforcement-learning transformers transformer imitation-learning behavioral-cloning offline-reinforcement-learning dqn curriculum-learning offline-rl
Language:Python 324
nikhilbarhate99 / min-decision-transformer
Minimal implementation of Decision Transformer: Reinforcement Learning via Sequence Modeling in PyTorch for mujoco control tasks in OpenAI gym
deep-learning deep-reinforcement-learning machine-learning mujoco offline-reinforcement-learning openai-gym pytorch pytorch-transformers reinforcement-learning robotics transformer
Language:Python 283
polixir / OfflineRL
A collection of offline reinforcement learning algorithms.
offline-reinforcement-learning reinforcement-learning
Language:Python 204
instadeepai / og-marl
Datasets with baselines for Offline MARL.
multi-agent-reinforcement-learning reinforcement-learning offline-reinforcement-learning
Language:Python 185
silverwingsbot / EasyCarla-RL
A simple and easy-to-use autonomous driving environment for reinforcement learning, based on the CARLA simulator.
autonomous-driving autonomous-vehicles carla carla-simulator gym offline-reinforcement-learning reinforcement-learning rl self-driving decision-making
Language:Python 178
nissymori / JAX-CORL
Clean single-file implementation of offline RL algorithms in JAX
awac cql d4rl decision-transformer flax iql jax offline-reinforcement-learning offline-rl reinforcement-learning single-file td3bc
Language:Python 159
BY571 / CQL
PyTorch implementation of the Offline Reinforcement Learning algorithm CQL. Includes the versions DQN-CQL and SAC-CQL for discrete and continuous action spaces.
discrete-sac dqn machine-learning offline-reinforcement-learning pytorch pytorch-implementation reinforcement-learning-algorithms sac
Language:Python 141
polixir / NeoRL
Python interface for accessing the near real-world offline reinforcement learning (NeoRL) benchmark datasets
offline-reinforcement-learning
Language:Python 128
EmptyJackson / unifloral
Unified Implementations of Offline Reinforcement Learning Algorithms
d4rl jax offline-reinforcement-learning flax wandb
Language:Python 117
ZhengyaoJiang / latentplan
Code release for Efficient Planning in a Compact Latent Action Space (ICLR2023) https://arxiv.org/abs/2208.10291.
model-based-reinforcement-learning offline-reinforcement-learning reinforcement-learning generative-model transformer
Language:Python 109
ZhengYinan-AIR / FISOR
[ICLR 2024] The official implementation of "Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model"
diffusion-models hamilton-jacobi-reachability jax offline-reinforcement-learning safe-reinforcement-learning imitation-learning reinforcement-learning
Language:Python 108
snu-mllab / EDAC
Official PyTorch implementation of "Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble" (NeurIPS'21)
offline-reinforcement-learning
Language:Python 79
DHDev0 / Stochastic-muzero
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.
arxiv-papers machine-learning offline-reinforcement-learning online-reinforcement-learning muzero-stochastic stochastic-muzero deep-reinforcement-learning gym-environments lstm monte-carlo-tree-search muzero pytorch resnetv2 rl transformer multilayer-perceptron
Language:Python 74
ltlhuuu / PSEC
[ICLR 2025] The offical implementation of "PSEC: Skill Expansion and Composition in Parameter Space", a new framework designed to facilitate efficient and flexible skill expansion and composition, iteratively evolve the agents' capabilities and efficiently address new challenges
continual-learning decision-making fine-tuning imitation-learning large-language-models lora multi-objective-optimization offline-reinforcement-learning parameter-efficient-fine-tuning pretrained-models reinforcement-learning robotics transfer-learning
Language:Python 61
ryanxhr / POR
[NeurIPS 2022 Oral] The official implementation of POR in "A Policy-Guided Imitation Approach for Offline Reinforcement Learning"
offline-reinforcement-learning pytorch
Language:Python 57
tinkoff-ai / ReBRAC
Author's implementation of ReBRAC, a minimalist improvement upon TD3+BC
offline-reinforcement-learning reinforcement-learning
Language:Jupyter Notebook 56
tinkoff-ai / sac-rnd
Official implementation for "Anti-Exploration by Random Network Distillation", ICML 2023
offline-reinforcement-learning random-network-distillation flax-implementation deep-reinforcement-learning jax-implementation
Language:Python 54
Howuhh / sac-n-jax
Single-file SAC-N implementation on jax with flax and equinox. 10x faster than pytorch
d4rl offline-reinforcement-learning reinforcement-learning flax jax equinox
Language:Python 52
LanqingLi1993 / FOCAL-ICLR
Code for FOCAL Paper Published at ICLR 2021
offline-reinforcement-learning meta-learning distance-metric-learning meta-rl multi-task-learning reinforcement-learning
Language:Python 51
pi-optimal / pi-optimal
An open-source Python library for Reinforcement Learning (RL), designed to model, optimize, and control dynamic systems.
offline-reinforcement-learning reinforcement-learning business-rl
Language:Jupyter Notebook 43
snu-mllab / DPPO
Official implementation of "Direct Preference-based Policy Optimization without Reward Modeling" (NeurIPS 2023)
offline-reinforcement-learning preference-based-reinforcement-learning reinforcement-learning rlhf
Language:Python 42
ZhengYinan-AIR / OMIGA
[NeurIPS 2023] The official implementation of "Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularization"
multi-agent-reinforcement-learning offline-reinforcement-learning pytorch mujoco reinforcement-learning
Language:Python 38
Josh00-Lu / Habi
[ICML 2025 Poster] Official PyTorch Implementation of "Habitizing Diffusion Planning for Efficient and Effective Decision Making"
decision-making embodied-agent high-frequency offline-reinforcement-learning pytorch
Language:Python 35
ryanxhr / DWBC
[ICML 2022] The official implementation of DWBC in "Discriminator-Weighted Offline Imitation Learning from Suboptimal Demonstrations"
imitation-learning offline-reinforcement-learning pytorch
Language:Python 35
ltlhuuu / A2PR
[ICML 2024] The offical implementation of A2PR, a simple way to achieve SOTA in offline reinforcement learning with an adaptive advantage-guided policy regularization method, in Pytorch
robotics offline-reinforcement-learning reinforcement-learning
Language:Python 32
sail-sg / rosmo
Codes for "Efficient Offline Policy Optimization with a Learned Model", ICLR2023
atari model-based-rl muzero offline-reinforcement-learning reinforcement-learning rl-unplugged jax dm-haiku arcade-learning-environment bsuite model-based-reinforcement-learning muzero-unplugged offline-rl
Language:Python 30
holarissun / RewardShifting
Code for NeurIPS 2022 paper Exploiting Reward Shifting in Value-Based Deep RL
ensemble exploration-exploitation offline-reinforcement-learning reinforcement-learning reward-design reward-engineering reward-shaping value-based-methods deep-q-network rnd dqn-rnd ensemble-learning ensemble-rl
Language:Python 29
LoopMind-AI / loopquest
A Production Tool for Embodied AI
decision-making-algorithm foundation-model gym gym-environment mlops mlops-workflow reinforcement-learning rlops simulation reinforcement-learning-ops machine-learning offline-reinforcement-learning embodied-agent embodied-ai
Language:Python 29
YangRui2015 / AWGCSL
Code for ICLR 2022 paper Rethinking Goal-Conditioned Supervised Learning and Its Connection to Offline RL.
reinforcement-learning offline-reinforcement-learning hindsight-experience-replay
Language:Python 27
DesikRengarajan / FEDORA
[NeurIPS 2024] Code for Federated Ensemble-Directed Offline Reinforcement Learning
federated-learning federated-reinforcement-learning offline-reinforcement-learning pytorch reinforcement-learning federated-offline-reinforcement-learning
Language:Python 25
kschweig / OfflineRL
Experiment for Understanding the Effects of Dataset Characteristics on Offline Reinforcement Learning
reinforcement-learning offline-reinforcement-learning dataset-generation
Language:Jupyter Notebook 25
yudasong / HyQ
Official code repo for paper: Hybrid RL: Using both offline and online data can make RL efficient.
offline-reinforcement-learning q-learning reinforcement-learning reinforcement-learning-theory hybrid-reinforcement-learing
Language:Python 24