Minari
Offline RL library
A Python library for offline reinforcement learning research, providing datasets and utilities.
A standard format for offline reinforcement learning datasets, with popular reference datasets and related utilities
294 stars
12 watching
44 forks
Language: Python
last commit: 14 days ago
Linked from 1 awesome list
datasetsgymnasiumoffline-rlreinforcement-learning
Related projects:
Repository | Description | Stars |
---|---|---|
farama-foundation/d4rl | Provides standardized environments and datasets for offline reinforcement learning training and benchmarking | 1,346 |
takuseno/d3rlpy | An open-source deep reinforcement learning library that supports offline and online training, providing an intuitive API for practitioners and researchers. | 1,327 |
conglu1997/v-d4rl | Provides pre-built datasets and code for offline reinforcement learning from visual observations using deep learning algorithms | 95 |
hakuhodo-technologies/scope-rl | A Python library for offline reinforcement learning, evaluation, and policy selection in various environments. | 114 |
takuseno/minerva | An offline deep reinforcement learning GUI tool that requires only datasets to operate and provides a powerful algorithm and intuitive interface. | 95 |
denisyarats/exorl | Provides exploratory data and algorithms for offline reinforcement learning in various control domains | 105 |
mushroomrl/mushroom-rl | A Python library for reinforcement learning algorithms and environments. | 822 |
corl-team/corl | Provides high-quality implementations of offline and offline-to-online reinforcement learning algorithms in Python. | 482 |
aunum/gold | A reinforcement learning library for Go, providing a set of agents to solve challenges in various environments. | 345 |
sjtu-marl/malib | A framework for parallel population-based reinforcement learning | 497 |
toni-sm/skrl | A modular reinforcement learning library with support for various environments and frameworks | 560 |
rl-tools/rl-tools | A comprehensive deep reinforcement learning library for continuous control tasks | 216 |
farama-foundation/gymnasium-robotics | A collection of robotic simulation environments for reinforcement learning | 570 |
matthiasplappert/keras-rl | A Python library implementing state-of-the-art deep reinforcement learning algorithms for Keras and OpenAI Gym environments. | 7 |
alex-petrenko/sample-factory | A high-throughput reinforcement learning library with optimized synchronous and asynchronous implementations of policy gradients. | 828 |