FLAIROx / jaxirl
Contains JAX implementation of algorithms for inverse reinforcement learning
β71Updated 7 months ago
Alternatives and similar repositories for jaxirl:
Users that are interested in jaxirl are comparing it to the libraries listed below
- β74Updated this week
- Baselines for gymnax π€β66Updated last year
- Simple single-file baselines for Q-Learning in pure-GPU settingβ149Updated this week
- β73Updated 4 months ago
- β41Updated 8 months ago
- β47Updated 2 years ago
- Goal-Conditioned Reinforcement Learning with JAXβ131Updated this week
- JAX implementations of core Deep RL algorithmsβ79Updated 2 years ago
- Corax: Core RL in JAXβ37Updated last year
- β20Updated 9 months ago
- General Modules for JAXβ64Updated 3 weeks ago
- Foundation Policies with Hilbert Representations (ICML 2024)β80Updated 11 months ago
- Skeleton for scalable and flexible Jax RL implementationsβ74Updated last year
- Evaluating long-term memory of reinforcement learning algorithmsβ141Updated last year
- CleanRL's implementation of DeepMind's Podracer Sebulba Architecture for Distributed DRLβ109Updated 7 months ago
- Jax-Baseline is a Reinforcement Learning implementation using JAX and Flax/Haiku libraries, mirroring the functionality of Stable-Baselinβ¦β48Updated this week
- Learning diverse options through the Laplacian representation.β23Updated last year
- Code for "Unsupervised Zero-Shot RL via Functional Reward Representations"β53Updated 11 months ago
- Benchmarking RL for POMDPs in Pure JAX [Code for "Structured State Space Models for In-Context Reinforcement Learning" (NeurIPS 2023)]β99Updated last year
- Jax implementation of Proximal Policy Optimization (PPO) specifically tuned for Procgen, with benchmarked results and saved model weightsβ¦β53Updated 2 years ago
- An Open-Ended Agentic Simulatorβ45Updated 7 months ago
- Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objectiveβ79Updated 2 years ago
- Accelerated replay buffers in JAXβ41Updated 2 years ago
- Single-file SAC-N implementation on jax with flax and equinox. 10x faster than pytorchβ48Updated last year
- A collection of RL algorithms written in JAX.β95Updated 2 years ago
- JAX implementation of RL algorithms and vectorized environmentsβ42Updated last year
- β35Updated 2 years ago
- Highly scalable 2D JAX physics engine.β53Updated last week
- β43Updated last year
- JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"β100Updated 2 years ago