rlax
RL builder
A Python library providing reinforcement learning building blocks for implementing agent policies and functions
1k stars
34 watching
87 forks
Language: Python
last commit: 2 months ago
Linked from 1 awesome list
Related projects:
Repository | Description | Stars |
---|---|---|
geek-ai/magent | A platform for multi-agent reinforcement learning research and development | 1,693 |
google-research/deep_ope | A set of pre-trained reinforcement learning policies and benchmarking data for offline model selection in reinforcement learning. | 85 |
aunum/gold | A reinforcement learning library for Go, providing a set of agents to solve challenges in various environments. | 345 |
eleurent/rl-agents | A collection of implementations of Reinforcement Learning and planning algorithms in Python. | 592 |
rll-research/url_benchmark | A benchmark suite for unsupervised reinforcement learning agents, providing pre-trained models and scripts for testing and fine-tuning agent performance. | 332 |
luchris429/purejaxrl | A high-performance implementation of reinforcement learning training pipelines using JAX and PyTorch-like functionality | 722 |
mushroomrl/mushroom-rl | A Python library for reinforcement learning algorithms and environments. | 825 |
kaixhin/rainbow | A Python implementation of a deep reinforcement learning algorithm combining multiple techniques for improved performance in Atari games | 1,585 |
rlworkgroup/garage | A toolkit for developing and evaluating reinforcement learning algorithms in a reproducible manner | 1,883 |
chainer/chainerrl | A deep reinforcement learning library built on top of Chainer. | 1,174 |
enlite-ai/maze | An RL framework for building and training reinforcement learning models in Python | 265 |
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 |
roberttlange/gymnax | A framework that accelerates RL environment processes by leveraging JAX and GPU acceleration | 650 |
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. | 830 |