coax-dev / coax
Modular framework for Reinforcement Learning in python
☆171Updated 2 years ago
Alternatives and similar repositories for coax:
Users that are interested in coax are comparing it to the libraries listed below
- JAX implementations of core Deep RL algorithms☆79Updated 2 years ago
- ⚡ Flashbax: Accelerated Replay Buffers in JAX☆225Updated this week
- Accelerated Quality-Diversity☆275Updated this week
- RL Environments in JAX 🌍☆709Updated 7 months ago
- Baselines for gymnax 🤖☆65Updated last year
- ☆190Updated 2 months ago
- A collection of RL algorithms written in JAX.☆95Updated 2 years ago
- ☆295Updated 2 months ago
- Reinforcement learning library in JAX.☆101Updated last year
- SBX: Stable Baselines Jax (SB3 + Jax) RL algorithms☆401Updated this week
- Real-World RL Benchmark Suite☆352Updated 4 years ago
- An API conversion tool for popular external reinforcement learning environments☆152Updated last month
- Accelerated minigrid environments with JAX☆130Updated 7 months ago
- Dream to Control: Learning Behaviors by Latent Imagination, implemented in PyTorch.☆295Updated last year
- 🏛️A research-friendly codebase for fast experimentation of single-agent reinforcement learning in JAX • End-to-End JAX RL☆285Updated this week
- JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.☆659Updated 2 years ago
- Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO☆195Updated 2 years ago
- ☆100Updated last year
- An easy-to-use reinforcement learning library for research and education.☆166Updated last week
- ☆215Updated 3 months ago
- The RL Reliability Metrics library provides a set of metrics for measuring the reliability of reinforcement learning (RL) algorithms, as …☆165Updated last year
- Benchmarking RL generalization in an interpretable way.☆144Updated 3 weeks ago
- This project was moved to: https://github.com/coax-dev/coax☆160Updated 2 years ago
- From search engines, to science, to robotics, this reposity is meant to showcase the use of reinforcement learning in the world..☆223Updated 8 months ago
- Vectorization techniques for fast population-based training.☆55Updated 2 years ago
- Simple single-file baselines for Q-Learning in pure-GPU setting☆138Updated 3 months ago
- Partially Observable Process Gym☆178Updated 7 months ago
- A Python interface for reinforcement learning environments☆356Updated 2 years ago
- ☆73Updated 3 months ago
- PAIRED in PyTorch 🔥☆58Updated last year