schmidtdominik / RainbowLinks
Rainbow DQN implementation accompanying the paper "Fast and Data-Efficient Training of Rainbow" which reaches 205.7 median HNS after 10M frames. 🌈
☆44Updated 3 years ago
Alternatives and similar repositories for Rainbow
Users that are interested in Rainbow are comparing it to the libraries listed below
Sorting:
- Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective☆81Updated 2 years ago
- Vectorization techniques for fast population-based training.☆56Updated 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
- Docker containers of baseline agents for the Crafter environment☆29Updated 3 years ago
- JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"☆102Updated 3 years ago
- CleanRL's implementation of DeepMind's Podracer Sebulba Architecture for Distributed DRL☆117Updated last year
- A collection of RL algorithms written in JAX.☆104Updated 3 years ago
- Accelerated replay buffers in JAX☆44Updated 3 years ago
- ☆52Updated 2 years ago
- Single-file SAC-N implementation on jax with flax and equinox. 10x faster than pytorch☆53Updated 2 years ago
- ☆32Updated 4 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
- Implementation of Diversity Is All You Need (DIAYN) on top of Stable Baselines 3.☆12Updated 3 years ago
- Challenging Memory-based Deep Reinforcement Learning Agents☆104Updated last year
- ☆87Updated 2 months ago
- SkillHack: A Benchmark for Skill Transfer in Open-Ended Reinforcement Learning☆17Updated 3 years ago
- ☆31Updated last year
- JAX implementations of core Deep RL algorithms☆82Updated 3 years ago
- AGAC: Adversarially Guided Actor-Critic☆47Updated 4 years ago
- Baselines for gymnax 🤖☆72Updated 2 years ago
- Implementations of robust Dual Curriculum Design (DCD) algorithms for unsupervised environment design.☆136Updated last year
- Extreme Q-Learning: Max Entropy RL without Entropy☆87Updated 2 years ago
- On the model-based stochastic value gradient for continuous reinforcement learning☆57Updated 2 years ago
- Simple implementation of V-MPO proposed in https://arxiv.org/abs/1909.12238☆48Updated 5 years ago
- 🪐 The Sebulba architecture to scale reinforcement learning on Cloud TPUs in JAX☆60Updated 2 years ago
- Code for "Unsupervised Zero-Shot RL via Functional Reward Representations"☆57Updated last year
- ☆46Updated last year
- An implementation of MuZero in JAX.☆57Updated 3 years ago
- Revisiting Rainbow☆75Updated 4 years ago
- General Modules for JAX☆70Updated 2 months ago