RPegoud / jym
JAX implementation of RL algorithms and vectorized environments
β40Updated last year
Alternatives and similar repositories for jym:
Users that are interested in jym are comparing it to the libraries listed below
- Baselines for gymnax π€β65Updated last year
- β72Updated 6 months ago
- β73Updated 4 months ago
- Clean single-file implementation of offline RL algorithms in JAXβ134Updated 2 months ago
- Highly scalable 2D JAX physics engine.β50Updated last month
- Jax-Baseline is a Reinforcement Learning implementation using JAX and Flax/Haiku libraries, mirroring the functionality of Stable-Baselinβ¦β47Updated 3 weeks ago
- Simple single-file baselines for Q-Learning in pure-GPU settingβ138Updated 3 months ago
- Goal-Conditioned Reinforcement Learning with JAXβ123Updated this week
- Skeleton for scalable and flexible Jax RL implementationsβ73Updated last year
- Contains JAX implementation of algorithms for inverse reinforcement learningβ69Updated 6 months ago
- β48Updated 2 years ago
- β190Updated 2 months ago
- An Open-Ended Agentic Simulatorβ41Updated 6 months ago
- JAX implementations of various deep reinforcement learning algorithms.β21Updated last month
- Various reinforcement learning algorithms written in Jax + Flaxβ24Updated last year
- Official Implementation of "Can Learned Optimization Make Reinforcement Learning Less Difficult"β20Updated 3 months ago
- Official code release for "CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity"β66Updated 8 months ago
- General Modules for JAXβ64Updated this week
- β41Updated 7 months ago
- Benchmarking RL generalization in an interpretable way.β144Updated 3 weeks ago
- Single-file SAC-N implementation on jax with flax and equinox. 10x faster than pytorchβ48Updated last year
- Evaluating long-term memory of reinforcement learning algorithmsβ140Updated last year
- πͺ The Sebulba architecture to scale reinforcement learning on Cloud TPUs in JAXβ56Updated last year
- Benchmarking RL for POMDPs in Pure JAX [Code for "Structured State Space Models for In-Context Reinforcement Learning" (NeurIPS 2023)]β96Updated last year
- β74Updated this week
- Simple JAX Graphics Library.β34Updated 3 months ago
- Accelerated minigrid environments with JAXβ130Updated 7 months ago
- Jax implementation of Proximal Policy Optimization (PPO) specifically tuned for Procgen, with benchmarked results and saved model weightsβ¦β53Updated 2 years ago
- Synchronized Curriculum Learning for RL Agentsβ41Updated last week
- Accompanying Code for "Flipping Coins to Estimate Pseudocounts for Exploration in Reinforcement Learning", ICML 2023β19Updated last year