tinker495 / jax-baselineLinks
Jax-Baseline is a Reinforcement Learning implementation using JAX and Flax/Haiku libraries, mirroring the functionality of Stable-Baselines.
☆53Updated last month
Alternatives and similar repositories for jax-baseline
Users that are interested in jax-baseline are comparing it to the libraries listed below
Sorting:
- Various reinforcement learning algorithms written in Jax + Flax☆26Updated 2 years ago
- Single-file SAC-N implementation on jax with flax and equinox. 10x faster than pytorch☆51Updated 2 years ago
- JAX implementations of various deep reinforcement learning algorithms.☆22Updated 4 months ago
- ☆82Updated 3 months ago
- Accelerated replay buffers in JAX☆41Updated 2 years ago
- Official Implementation of "Can Learned Optimization Make Reinforcement Learning Less Difficult"☆24Updated 2 months ago
- ☆47Updated 2 years ago
- Jax implementation of Proximal Policy Optimization (PPO) specifically tuned for Procgen, with benchmarked results and saved model weights…☆56Updated 2 years ago
- POPGym Library in JAX☆11Updated last year
- Contains JAX implementation of algorithms for inverse reinforcement learning☆73Updated 10 months ago
- Code for "SimbaV2: Hyperspherical Normalization for Scalable Deep Reinforcement Learning"☆51Updated 3 weeks ago
- Unified Implementations of Offline Reinforcement Learning Algorithms☆80Updated 2 months ago
- ☆80Updated 7 months ago
- Simple single-file baselines for Q-Learning in pure-GPU setting☆172Updated 3 months ago
- An implementation of MuZero in JAX.☆56Updated 2 years ago
- JAX implementation of RL algorithms and vectorized environments☆46Updated last year
- Vectorization techniques for fast population-based training.☆56Updated 2 years ago
- Baselines for gymnax 🤖☆67Updated 2 years ago
- A collection of matrix games in JAX☆11Updated 6 months ago
- A collection of RL algorithms written in JAX.☆98Updated 2 years ago
- 🪐 The Sebulba architecture to scale reinforcement learning on Cloud TPUs in JAX☆57Updated last year
- JAX implementations of core Deep RL algorithms☆79Updated 3 years ago
- General Modules for JAX☆65Updated 2 months ago
- ☆19Updated last month
- Official code release for "CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity"☆75Updated last year
- JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"☆100Updated 3 years ago
- Docker containers of baseline agents for the Crafter environment☆28Updated 3 years ago
- Flax Implementation of DreamerV3 on Crafter☆16Updated 3 months ago
- Benchmarking RL for POMDPs in Pure JAX [Code for "Structured State Space Models for In-Context Reinforcement Learning" (NeurIPS 2023)]☆103Updated last year
- Deep Reinforcement Learning Framework done with PyTorch☆36Updated 3 months ago