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 last week
- Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective☆82Updated 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
- Jax implementation of Proximal Policy Optimization (PPO) specifically tuned for Procgen, with benchmarked results and saved model weights…☆59Updated 3 years ago
- Baselines for gymnax 🤖☆74Updated 2 years ago
- Datasets for data-driven deep reinforcement learning with PyBullet environments☆152Updated 4 years ago
- Vectorization techniques for fast population-based training.☆57Updated 3 years ago
- General Modules for JAX☆72Updated 4 months ago
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆92Updated 4 years ago
- Revisiting Rainbow☆75Updated 4 years ago
- Datasets for data-driven deep reinforcement learning with Atari (wrapper for datasets released by Google)☆127Updated last year
- Benchmarking RL generalization in an interpretable way.☆174Updated 2 months ago
- impact-driven-exploration☆133Updated 2 years ago
- Pytorch implementations of RL algorithms, focusing on model-based, lifelong, reset-free, and offline algorithms. Official codebase for Re…☆108Updated 3 years ago
- Implementations of robust Dual Curriculum Design (DCD) algorithms for unsupervised environment design.☆138Updated last year
- Evaluating long-term memory of reinforcement learning algorithms☆161Updated 2 years ago
- Deep Hierarchical Planning from Pixels☆112Updated 3 years ago
- ☆52Updated 3 years ago
- PyTorch Implementation of the Maximum a Posteriori Policy Optimisation☆79Updated 3 years ago
- Recurrent continuous reinforcement learning algorithms implemented in Pytorch.☆51Updated 4 years ago
- CleanRL's implementation of DeepMind's Podracer Sebulba Architecture for Distributed DRL☆121Updated last year
- Challenging Memory-based Deep Reinforcement Learning Agents☆109Updated last year
- Proto-RL: Reinforcement Learning with Prototypical Representations☆86Updated 3 years ago
- ☆54Updated 2 years ago
- pytorch-implementation of Dreamer (Model-based Image RL Algorithm)☆168Updated last year
- PyTorch implementation of Stochastic Latent Actor-Critic(SLAC).☆94Updated last year
- Partially Observable Process Gym☆211Updated 7 months ago
- ☆91Updated 4 months ago
- JAX implementations of various deep reinforcement learning algorithms.☆25Updated 11 months ago