toshikwa / rljaxLinks
A collection of RL algorithms written in JAX.
☆104Updated 3 years ago
Alternatives and similar repositories for rljax
Users that are interested in rljax are comparing it to the libraries listed below
Sorting:
- JAX implementations of core Deep RL algorithms☆82Updated 3 years ago
- On the model-based stochastic value gradient for continuous reinforcement learning☆57Updated 2 years ago
- Datasets for data-driven deep reinforcement learning with PyBullet environments☆151Updated 4 years ago
- Baselines for gymnax 🤖☆73Updated 2 years ago
- JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"☆103Updated 3 years ago
- Datasets for data-driven deep reinforcement learning with Atari (wrapper for datasets released by Google)☆127Updated last year
- Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective☆82Updated 2 years ago
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆92Updated 4 years ago
- Jax implementation of Proximal Policy Optimization (PPO) specifically tuned for Procgen, with benchmarked results and saved model weights…☆59Updated 3 years ago
- General Modules for JAX☆71Updated 2 months ago
- Benchmarking RL generalization in an interpretable way.☆169Updated 3 weeks ago
- Implementations of robust Dual Curriculum Design (DCD) algorithms for unsupervised environment design.☆137Updated last year
- Vectorization techniques for fast population-based training.☆56Updated 3 years ago
- Revisiting Rainbow☆75Updated 4 years ago
- Partially Observable Process Gym☆207Updated 5 months ago
- ☆52Updated 2 years ago
- PyTorch implementation of Stochastic Latent Actor-Critic(SLAC).☆94Updated last year
- Jax-Baseline is a Reinforcement Learning implementation using JAX and Flax/Haiku libraries, mirroring the functionality of Stable-Baselin…☆62Updated 2 weeks ago
- PyTorch Implementation of the Maximum a Posteriori Policy Optimisation☆78Updated 3 years ago
- Evaluating long-term memory of reinforcement learning algorithms☆154Updated 2 years ago
- Accelerated replay buffers in JAX☆45Updated 3 years ago
- Clean single-file implementation of offline RL algorithms in JAX☆163Updated 2 weeks ago
- ☆51Updated 2 years ago
- ☆88Updated 3 months ago
- CleanRL's implementation of DeepMind's Podracer Sebulba Architecture for Distributed DRL☆118Updated last year
- Contains JAX implementation of algorithms for inverse reinforcement learning☆74Updated last year
- [ICLR 22] Value Gradient weighted Model-Based Reinforcement Learning.☆25Updated 2 years ago
- Conservative Q learning in Jax☆56Updated 2 years ago
- An implementation of MuZero in JAX.☆57Updated 3 years ago
- Single-file SAC-N implementation on jax with flax and equinox. 10x faster than pytorch☆56Updated 2 years ago