vwxyzjn / cleanba
CleanRL's implementation of DeepMind's Podracer Sebulba Architecture for Distributed DRL
☆111Updated 8 months ago
Alternatives and similar repositories for cleanba:
Users that are interested in cleanba are comparing it to the libraries listed below
- Simple single-file baselines for Q-Learning in pure-GPU setting☆159Updated last month
- Evaluating long-term memory of reinforcement learning algorithms☆142Updated last year
- ☆75Updated 6 months ago
- ☆76Updated last month
- JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"☆100Updated 2 years ago
- General Modules for JAX☆64Updated 3 weeks ago
- MR.Q is a general-purpose model-free reinforcement learning algorithm.☆91Updated 3 weeks ago
- ☆44Updated last year
- Extreme Q-Learning: Max Entropy RL without Entropy☆86Updated 2 years ago
- Challenging Memory-based Deep Reinforcement Learning Agents☆97Updated 6 months ago
- Accelerated replay buffers in JAX☆41Updated 2 years ago
- Jax implementation of Proximal Policy Optimization (PPO) specifically tuned for Procgen, with benchmarked results and saved model weights…☆54Updated 2 years ago
- ExORL: Exploratory Data for Offline Reinforcement Learning☆113Updated 3 years ago
- An implementation of MuZero in JAX.☆56Updated 2 years ago
- Conservative Q learning in Jax☆53Updated 2 years ago
- JAX implementations of core Deep RL algorithms☆79Updated 3 years ago
- ☆226Updated 5 months ago
- Baselines for gymnax 🤖☆66Updated 2 years ago
- Synchronized Curriculum Learning for RL Agents☆44Updated last month
- ☆47Updated 2 years ago
- Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective☆80Updated 2 years ago
- A collection of RL algorithms written in JAX.☆97Updated 2 years ago
- Code and data for the paper "Bridging RL Theory and Practice with the Effective Horizon"☆48Updated 10 months ago
- Revisiting Rainbow☆74Updated 3 years ago
- Clean single-file implementation of offline RL algorithms in JAX☆143Updated 4 months ago
- Accelerated minigrid environments with JAX☆134Updated 9 months ago
- Datasets for data-driven deep reinforcement learning with Atari (wrapper for datasets released by Google)☆117Updated 8 months ago
- Contains JAX implementation of algorithms for inverse reinforcement learning☆72Updated 8 months ago
- official implementation for our paper Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning☆92Updated 9 months ago
- Deep Hierarchical Planning from Pixels☆97Updated 2 years ago