epignatelli / navixLinks
Accelerated minigrid environments with JAX
☆139Updated 2 weeks ago
Alternatives and similar repositories for navix
Users that are interested in navix are comparing it to the libraries listed below
Sorting:
- Hardware-Accelerated Reinforcement Learning Algorithms in pure Jax!☆226Updated 3 weeks ago
- Simple single-file baselines for Q-Learning in pure-GPU setting☆172Updated 3 months ago
- ☆81Updated 3 months ago
- ⚡ Flashbax: Accelerated Replay Buffers in JAX☆238Updated 2 months ago
- ☆80Updated 7 months ago
- Baselines for gymnax 🤖☆67Updated 2 years ago
- Unified Implementations of Offline Reinforcement Learning Algorithms☆80Updated last month
- 🏛️A research-friendly codebase for fast experimentation of single-agent reinforcement learning in JAX • End-to-End JAX RL☆335Updated last week
- Jax implementation of Proximal Policy Optimization (PPO) specifically tuned for Procgen, with benchmarked results and saved model weights…☆56Updated 2 years ago
- CleanRL's implementation of DeepMind's Podracer Sebulba Architecture for Distributed DRL☆113Updated 10 months ago
- (Crafter + NetHack) in JAX. ICML 2024 Spotlight.☆319Updated last month
- General Modules for JAX☆65Updated 2 months ago
- Single-file SAC-N implementation on jax with flax and equinox. 10x faster than pytorch☆51Updated 2 years ago
- 🪐 The Sebulba architecture to scale reinforcement learning on Cloud TPUs in JAX☆57Updated last year
- Benchmarking RL generalization in an interpretable way.☆157Updated last week
- JAX implementations of core Deep RL algorithms☆79Updated 3 years ago
- JAX implementation of RL algorithms and vectorized environments☆46Updated last year
- Contains JAX implementation of algorithms for inverse reinforcement learning☆73Updated 10 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
- Clean single-file implementation of offline RL algorithms in JAX☆146Updated 6 months ago
- Implementations of robust Dual Curriculum Design (DCD) algorithms for unsupervised environment design.☆130Updated 10 months ago
- Goal-Conditioned Reinforcement Learning with JAX☆169Updated last month
- MR.Q is a general-purpose model-free reinforcement learning algorithm.☆104Updated 2 months ago
- Accelerated replay buffers in JAX☆41Updated 2 years ago
- Challenging Memory-based Deep Reinforcement Learning Agents☆100Updated 7 months ago
- Evaluating long-term memory of reinforcement learning algorithms☆143Updated 2 years ago
- A collection of RL algorithms written in JAX.☆98Updated 2 years ago
- Efficient baselines for autocurricula in JAX.☆190Updated 10 months ago
- Jax-Baseline is a Reinforcement Learning implementation using JAX and Flax/Haiku libraries, mirroring the functionality of Stable-Baselin…☆53Updated last month
- Partially Observable Process Gym☆193Updated 2 weeks ago