resibots / pymap_elites
map elites python reference implementation
☆81Updated last year
Alternatives and similar repositories for pymap_elites:
Users that are interested in pymap_elites are comparing it to the libraries listed below
- 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
- A bare-bones Python library for quality diversity optimization.☆217Updated 2 months ago
- Website for Quality-Diversity optimisation algorithms☆43Updated 6 months ago
- Repository for the QDgym code. A framework for Quality Diversity optimization benchmark tasks based OpenAI Gym.☆22Updated 3 years ago
- A python implementation of differentiable quality diversity.☆48Updated 3 years ago
- A collection of papers on divergence and quality diversity☆76Updated 2 years ago
- Python implementation of the genetic algorithm MAP-Elites with applications in constrained optimization☆50Updated 4 years ago
- Accelerated Quality-Diversity☆280Updated last week
- A collection of RL algorithms written in JAX.☆95Updated 2 years ago
- Map-Elites based on Evolution Strategies☆31Updated 3 years ago
- JAX implementations of core Deep RL algorithms☆79Updated 2 years ago
- Model-based reinforcement learning in TensorFlow☆55Updated 3 years ago
- High-performance JAX-powered simulator for robotic navigation in 2D mazes, optimized for Quality-Diversity algorithm research and benchma…☆12Updated 5 months ago
- On the model-based stochastic value gradient for continuous reinforcement learning☆55Updated last year
- ☆20Updated 5 years ago
- Baselines for gymnax 🤖☆66Updated last year
- An Open-Ended Agentic Simulator☆45Updated 7 months ago
- ☆73Updated 4 months ago
- PAIRED in PyTorch 🔥☆58Updated 2 years ago
- Benchmarking RL generalization in an interpretable way.☆148Updated last week
- Neuro-evolution for OpenAI Gym environments☆56Updated 4 years ago
- Revisiting Rainbow☆74Updated 3 years ago
- Jax implementation of Proximal Policy Optimization (PPO) specifically tuned for Procgen, with benchmarked results and saved model weights…☆53Updated 2 years ago
- A mini library for Policy Gradients with Parameter-based Exploration, with reference implementation of the ClipUp optimizer (https://arxi…☆71Updated 4 years ago
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆83Updated 3 years ago
- **Sferes2 module** A unifying modular framework for Quality-Diversity algorithms☆22Updated 4 years ago
- Rainbow DQN implementation accompanying the paper "Fast and Data-Efficient Training of Rainbow" which reaches 205.7 median HNS after 10M …☆44Updated 3 years ago
- Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective☆79Updated 2 years ago
- General Modules for JAX☆64Updated 3 weeks ago
- JAX implementations of various deep reinforcement learning algorithms.☆21Updated last month