schmidtdominik / Rainbow
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
- Efficient seed-parallel implementation of "Breaking the Replay Ratio Barrier"☆22Updated last year
- Single-file SAC-N implementation on jax with flax and equinox. 10x faster than pytorch☆48Updated last year
- Docker containers of baseline agents for the Crafter environment☆28Updated 3 years ago
- Scalable Opponent Shaping Experiments in JAX☆24Updated 10 months ago
- Accelerated replay buffers in JAX☆41Updated 2 years ago
- SkillHack: A Benchmark for Skill Transfer in Open-Ended Reinforcement Learning☆14Updated 2 years ago
- Novelty MiniGrid--NovGrid--is an extension of MiniGrid environment that allows for the world properties and dynamics to change according …☆35Updated 9 months ago
- JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"☆101Updated 2 years ago
- ☆29Updated 4 years ago
- Vectorization techniques for fast population-based training.☆55Updated 2 years ago
- Jax implementation of Proximal Policy Optimization (PPO) specifically tuned for Procgen, with benchmarked results and saved model weights…☆53Updated 2 years ago
- ☆42Updated last year
- Synchronized Curriculum Learning for RL Agents☆41Updated last week
- Implementation of Diversity Is All You Need (DIAYN) on top of Stable Baselines 3.☆12Updated 2 years ago
- ☆43Updated 5 months ago
- ☆18Updated last month
- 🪐 The Sebulba architecture to scale reinforcement learning on Cloud TPUs in JAX☆56Updated last year
- Official Implementation of "Can Learned Optimization Make Reinforcement Learning Less Difficult"☆20Updated 3 months ago
- Baselines for gymnax 🤖☆65Updated last year
- Implementation of Tactical Optimistic and Pessimistic value estimation☆25Updated last year
- Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective☆79Updated last year
- Repository for the PGA-MAP-Elites algorithm. PGA-MAP-Elites was developed to efficiently scale MAP-Elites to large genotypes and noisy d…☆36Updated 3 years ago
- ☆73Updated 4 months ago
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆85Updated 3 years ago
- Deep Reinforcement Learning Framework done with PyTorch☆33Updated this week
- A collection of matrix games in JAX☆9Updated 3 months ago
- ExORL: Exploratory Data for Offline Reinforcement Learning☆108Updated 3 years ago
- Challenging Memory-based Deep Reinforcement Learning Agents☆93Updated 4 months ago
- General Modules for JAX☆64Updated this week
- Code of the paper: Debiasing Meta-Gradient Reinforcement Learning by Learning the Outer Value Function☆13Updated 2 years ago