vwxyzjn / cleanbaLinks
CleanRL's implementation of DeepMind's Podracer Sebulba Architecture for Distributed DRL
☆117Updated last year
Alternatives and similar repositories for cleanba
Users that are interested in cleanba are comparing it to the libraries listed below
Sorting:
- Baselines for gymnax 🤖☆72Updated 2 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☆44Updated 3 years ago
- ☆87Updated 2 months ago
- ☆87Updated last year
- General Modules for JAX☆71Updated 2 months ago
- Challenging Memory-based Deep Reinforcement Learning Agents☆104Updated last year
- Implementations of robust Dual Curriculum Design (DCD) algorithms for unsupervised environment design.☆136Updated last year
- JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"☆103Updated 3 years ago
- An implementation of MuZero in JAX.☆57Updated 3 years ago
- Extreme Q-Learning: Max Entropy RL without Entropy☆87Updated 2 years ago
- ☆46Updated last year
- Contains JAX implementation of algorithms for inverse reinforcement learning☆73Updated last year
- Evaluating long-term memory of reinforcement learning algorithms☆151Updated 2 years ago
- Vectorization techniques for fast population-based training.☆56Updated 3 years ago
- JAX implementations of core Deep RL algorithms☆82Updated 3 years ago
- Simple single-file baselines for Q-Learning in pure-GPU setting☆212Updated last week
- A collection of RL algorithms written in JAX.☆104Updated 3 years ago
- Datasets for data-driven deep reinforcement learning with Atari (wrapper for datasets released by Google)☆127Updated last year
- 🪐 The Sebulba architecture to scale reinforcement learning on Cloud TPUs in JAX☆60Updated 2 years ago
- Benchmarking RL for POMDPs in Pure JAX [Code for "Structured State Space Models for In-Context Reinforcement Learning" (NeurIPS 2023)]☆110Updated last year
- [NeurIPS 2022] Open source code for reusing prior computational work in RL.☆98Updated 2 years ago
- Accelerated minigrid environments with JAX☆152Updated last month
- Jax-Baseline is a Reinforcement Learning implementation using JAX and Flax/Haiku libraries, mirroring the functionality of Stable-Baselin…☆61Updated last month
- Plug-and-play hydra sweepers for the EA-based multifidelity method DEHB and several population-based training variations, all proven to e…☆84Updated last year
- Corax: Core RL in JAX☆38Updated last year
- Conservative Q learning in Jax☆55Updated 2 years ago
- ☆241Updated last year
- ExORL: Exploratory Data for Offline Reinforcement Learning☆117Updated 3 years ago
- Code for "Unsupervised Zero-Shot RL via Functional Reward Representations"☆57Updated last year