hamishs / JAX-RL
JAX implementations of various deep reinforcement learning algorithms.
☆20Updated 2 weeks ago
Alternatives and similar repositories for JAX-RL:
Users that are interested in JAX-RL are comparing it to the libraries listed below
- A collection of RL algorithms written in JAX.☆95Updated 2 years ago
- Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective☆80Updated last year
- Jax implementation of Proximal Policy Optimization (PPO) specifically tuned for Procgen, with benchmarked results and saved model weights…☆53Updated 2 years ago
- Jax-Baseline is a Reinforcement Learning implementation using JAX and Flax/Haiku libraries, mirroring the functionality of Stable-Baselin…☆47Updated last week
- On the model-based stochastic value gradient for continuous reinforcement learning☆55Updated last year
- ☆42Updated last year
- Various reinforcement learning algorithms written in Jax + Flax☆23Updated last year
- Simple JAX Graphics Library.☆29Updated 3 months ago
- Single-file SAC-N implementation on jax with flax and equinox. 10x faster than pytorch☆47Updated last year
- Benchmarking RL generalization in an interpretable way.☆142Updated last week
- ☆18Updated 2 years ago
- JAX implementation of RL algorithms and vectorized environments☆39Updated last year
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆85Updated 3 years ago
- Implementation of Tactical Optimistic and Pessimistic value estimation☆25Updated last year
- ☆47Updated 2 years ago
- IMP-MARL: a Suite of Environments for Large-scale Infrastructure Management Planning via MARL☆36Updated 5 months ago
- Learning Laplacian Representations in Reinforcement Learning☆17Updated 4 years ago
- ☆30Updated last year
- ☆70Updated 5 months ago
- Code and data for the paper "Bridging RL Theory and Practice with the Effective Horizon"☆43Updated 7 months ago
- Baselines for gymnax 🤖☆63Updated last year
- Contains JAX implementation of algorithms for inverse reinforcement learning☆70Updated 5 months ago
- Evaluating long-term memory of reinforcement learning algorithms☆140Updated last year
- JAX implementations of core Deep RL algorithms☆79Updated 2 years ago
- LAMBDA is a model-based reinforcement learning agent that uses Bayesian world models for safe policy optimization☆33Updated 2 years ago
- ☆29Updated 3 years ago
- ☆41Updated last year
- Codes for the study "Variational Recurrent Models for Solving Partially Observable Control Tasks", published as a conference paper at ICL…☆52Updated 4 years ago
- JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"☆102Updated 2 years ago
- 🪐 The Sebulba architecture to scale reinforcement learning on Cloud TPUs in JAX☆55Updated last year