MyNameIsArko / RL-FlaxLinks
Various reinforcement learning algorithms written in Jax + Flax
☆24Updated last year
Alternatives and similar repositories for RL-Flax
Users that are interested in RL-Flax 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…☆53Updated 3 weeks ago
- Baselines for gymnax 🤖☆66Updated 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
- JAX implementations of various deep reinforcement learning algorithms.☆22Updated 4 months ago
- JAX implementations of core Deep RL algorithms☆79Updated 3 years ago
- Code for "SimbaV2: Hyperspherical Normalization for Scalable Deep Reinforcement Learning"☆46Updated last month
- Flax Implementation of DreamerV3 on Crafter☆14Updated 3 months ago
- ☆80Updated 7 months ago
- Accelerated replay buffers in JAX☆41Updated 2 years ago
- ☆47Updated 2 years ago
- Contains JAX implementation of algorithms for inverse reinforcement learning☆73Updated 9 months ago
- Deep Reinforcement Learning Framework done with PyTorch☆36Updated 2 months ago
- Benchmarking RL for POMDPs in Pure JAX [Code for "Structured State Space Models for In-Context Reinforcement Learning" (NeurIPS 2023)]☆101Updated last year
- Simple single-file baselines for Q-Learning in pure-GPU setting☆167Updated 2 months ago
- General Modules for JAX☆66Updated last month
- Challenging Memory-based Deep Reinforcement Learning Agents☆99Updated 7 months ago
- Drop-in environment replacements that make your RL algorithm train faster.☆20Updated 11 months ago
- ☆79Updated 2 months ago
- JAX implementation of RL algorithms and vectorized environments☆45Updated last year
- Skeleton for scalable and flexible Jax RL implementations☆82Updated last year
- A collection of RL algorithms written in JAX.☆97Updated 2 years ago
- Official Implementation of "Can Learned Optimization Make Reinforcement Learning Less Difficult"☆22Updated last month
- POPGym Library in JAX☆11Updated last year
- ☆19Updated 3 weeks ago
- An implementation of MuZero in JAX.☆56Updated 2 years ago
- A collection of matrix games in JAX☆11Updated 6 months ago
- On the model-based stochastic value gradient for continuous reinforcement learning☆55Updated last year
- ☆44Updated 8 months ago
- An implementation of DreamerV2 written in JAX, with support for running multiple random seeds of an experiment on a single GPU.☆15Updated 2 years ago
- Single-file SAC-N implementation on jax with flax and equinox. 10x faster than pytorch☆52Updated 2 years ago