hamishs / JAX-RLLinks
JAX implementations of various deep reinforcement learning algorithms.
☆25Updated 8 months ago
Alternatives and similar repositories for JAX-RL
Users that are interested in JAX-RL are comparing it to the libraries listed below
Sorting:
- Jax-Baseline is a Reinforcement Learning implementation using JAX and Flax/Haiku libraries, mirroring the functionality of Stable-Baselin…☆59Updated 2 weeks ago
- A collection of RL algorithms written in JAX.☆104Updated 3 years ago
- Jax implementation of Proximal Policy Optimization (PPO) specifically tuned for Procgen, with benchmarked results and saved model weights…☆58Updated 3 years ago
- Various reinforcement learning algorithms written in Jax + Flax☆26Updated 2 years ago
- JAX implementation of RL algorithms and vectorized environments☆49Updated last year
- Baselines for gymnax 🤖☆72Updated 2 years ago
- JAX implementations of core Deep RL algorithms☆82Updated 3 years ago
- ☆48Updated 2 years ago
- ☆84Updated 11 months ago
- Evaluating long-term memory of reinforcement learning algorithms☆147Updated 2 years ago
- Simple single-file baselines for Q-Learning in pure-GPU setting☆186Updated 6 months ago
- On the model-based stochastic value gradient for continuous reinforcement learning☆57Updated 2 years ago
- 🪐 The Sebulba architecture to scale reinforcement learning on Cloud TPUs in JAX☆59Updated last year
- Flax Implementation of DreamerV3 on Crafter☆16Updated 7 months ago
- Vectorization techniques for fast population-based training.☆56Updated 3 years ago
- ☆84Updated last month
- Single-file SAC-N implementation on jax with flax and equinox. 10x faster than pytorch☆52Updated 2 years ago
- Challenging Memory-based Deep Reinforcement Learning Agents☆103Updated 11 months ago
- Partially Observable Process Gym☆201Updated 4 months ago
- Code and data for the paper "Bridging RL Theory and Practice with the Effective Horizon"☆50Updated last year
- JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"☆101Updated 3 years ago
- An implementation of MuZero in JAX.☆57Updated 2 years ago
- Benchmarking RL generalization in an interpretable way.☆165Updated 3 months ago
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆91Updated 4 years ago
- Contains JAX implementation of algorithms for inverse reinforcement learning☆72Updated last year
- Implementations of robust Dual Curriculum Design (DCD) algorithms for unsupervised environment design.☆133Updated last year
- Accelerated replay buffers in JAX☆43Updated 3 years ago
- Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective☆81Updated 2 years ago
- ☆48Updated 2 years ago
- Docker containers of baseline agents for the Crafter environment☆28Updated 3 years ago