JesseFarebro / xtilsLinks
A collection of utilities for machine learning experiments.
☆11Updated last month
Alternatives and similar repositories for xtils
Users that are interested in xtils are comparing it to the libraries listed below
Sorting:
- Baselines for gymnax 🤖☆74Updated 2 years ago
- JAX implementations of core Deep RL algorithms☆83Updated 3 years ago
- A collection of RL algorithms written in JAX.☆104Updated 3 years ago
- Single-file SAC-N implementation on jax with flax and equinox. 10x faster than pytorch☆56Updated 2 years ago
- General Modules for JAX☆72Updated 4 months ago
- JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"☆104Updated 3 years ago
- ☆52Updated 3 years ago
- Jax implementation of Proximal Policy Optimization (PPO) specifically tuned for Procgen, with benchmarked results and saved model weights…☆59Updated 3 years ago
- Accelerated replay buffers in JAX☆46Updated 3 years ago
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆92Updated 4 years ago
- Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective☆82Updated 2 years ago
- Contains JAX implementation of algorithms for inverse reinforcement learning☆74Updated last year
- ☆91Updated 3 weeks ago
- Accelerated minigrid environments with JAX☆156Updated 3 months ago
- Vectorization techniques for fast population-based training.☆57Updated 3 years ago
- 🪐 The Sebulba architecture to scale reinforcement learning on Cloud TPUs in JAX☆61Updated 2 years ago
- Reinforcement learning library in JAX.☆100Updated 2 years ago
- Corax: Core RL in JAX☆38Updated last year
- ☆55Updated 2 years ago
- Revisiting Rainbow☆75Updated 4 years ago
- Benchmarking RL generalization in an interpretable way.☆173Updated 2 months ago
- On the model-based stochastic value gradient for continuous reinforcement learning☆57Updated last month
- Hardware-Accelerated Reinforcement Learning Algorithms in pure Jax!☆260Updated 3 months ago
- Conservative Q learning in Jax☆57Updated 3 years ago
- Simple single-file baselines for Q-Learning in pure-GPU setting☆233Updated 2 months ago
- PAIRED in PyTorch 🔥☆64Updated 2 years ago
- Implementation of Diversity Is All You Need (DIAYN) on top of Stable Baselines 3.☆13Updated 3 years ago
- Code for Model-Free Opponent Shaping (ICML 2022)☆20Updated 3 years ago
- Evaluating long-term memory of reinforcement learning algorithms☆163Updated 2 years ago
- Deep Hierarchical Planning from Pixels☆114Updated 3 years ago