exorl
Offline RL toolkit
Provides exploratory data and algorithms for offline reinforcement learning in various control domains
ExORL: Exploratory Data for Offline Reinforcement Learning
105 stars
3 watching
9 forks
Language: Python
last commit: over 4 years agoLinked from 1 awesome list
controldatasetsdeep-learningexporationmodel-freemujocooff-policyoffline-rlpythonpytorchreinforcement-learningunsupevised
hanjuku-kaso/awesome-offline-rlRelated projects:
| Repository | Description | Stars |
|---|---|---|
 conglu1997/v-d4rl | Provides pre-built datasets and code for offline reinforcement learning from visual observations using deep learning algorithms | 94 |
 takuseno/d3rlpy | An open-source deep reinforcement learning library that supports offline and online training, providing an intuitive API for practitioners and researchers. | 1,349 |
 corl-team/corl | Provides high-quality implementations of offline and offline-to-online reinforcement learning algorithms in Python. | 491 |
 farama-foundation/minari | A Python library for offline reinforcement learning research, providing datasets and utilities. | 310 |
 rl-tools/rl-tools | An open-source C++ library for training reinforcement learning policies and controlling continuous-control environments. | 680 |
 rle-foundation/rlexplore | Provides a unified toolkit for constructing, computing, and optimizing intrinsic reward modules in reinforcement learning | 373 |
| takuseno/minerva | An offline deep reinforcement learning GUI tool that requires only datasets to operate and provides a powerful algorithm and intuitive interface. | 98 |
 jjkke88/rl_toolbox | A collection of reinforcement learning algorithms and tools for training agents in complex environments. | 43 |
 eleurent/rl-agents | A collection of implementations of Reinforcement Learning and planning algorithms in Python. | 596 |
 hakuhodo-technologies/scope-rl | A Python library for offline reinforcement learning, evaluation, and policy selection in various environments. | 117 |
 rlworkgroup/garage | A toolkit for developing and evaluating reinforcement learning algorithms in a reproducible manner | 1,893 |
 devendrachaplot/deeprl-grounding | Trains an RL agent to execute natural language instructions in a 3D environment using a combination of A3C and gated attention mechanisms. | 237 |
 tristandeleu/pytorch-maml-rl | Replication of Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks in PyTorch for reinforcement learning tasks | 830 |
 jingweiz/pytorch-rl | A comprehensive project that provides an implementation of deep reinforcement learning algorithms using PyTorch and Visdom. | 798 |
 luchris429/purejaxrl | A high-performance implementation of reinforcement learning training pipelines using JAX and PyTorch-like functionality | 755 |