DanieleGravina / divergence-and-quality-diversityLinks
A collection of papers on divergence and quality diversity
☆77Updated 3 years ago
Alternatives and similar repositories for divergence-and-quality-diversity
Users that are interested in divergence-and-quality-diversity are comparing it to the libraries listed below
Sorting:
- map elites python reference implementation☆93Updated last year
- Website for Quality-Diversity optimisation algorithms☆46Updated 3 months ago
- ☆20Updated 6 years ago
- Neuro-evolution for OpenAI Gym environments☆57Updated 4 years ago
- A bare-bones Python library for quality diversity optimization.☆238Updated last week
- Train self-modifying neural networks with neuromodulated plasticity☆78Updated 5 years ago
- A Python interface for Minecraft built on gRPC☆125Updated 3 years ago
- ☆35Updated 7 years ago
- A python implementation of differentiable quality diversity.☆49Updated 3 years ago
- Python implementation of the genetic algorithm MAP-Elites with applications in constrained optimization☆55Updated 4 years ago
- Code for the paper, "Learning Human Objectives by Evaluating Hypothetical Behavior"☆84Updated 5 years ago
- This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".☆64Updated 2 years ago
- ☆84Updated 4 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
- Paper: Challenges in High-dimensional Reinforcement Learning with Evolution Strategies☆29Updated 3 years ago
- Paired Open-Ended Trailblazer (POET) and Enhanced POET☆255Updated 3 years ago
- A library that makes Evolutionary Strategies (ES) simple to use.☆180Updated 4 years ago
- **Sferes2 module** A unifying modular framework for Quality-Diversity algorithms☆22Updated 4 years ago
- Revisiting Rainbow☆75Updated 4 years ago
- OpenAI gym environment for evolving morphologies of 2D virtual creatures.☆33Updated 2 years ago
- megastep helps you build 1-million FPS reinforcement learning environments on a single GPU☆141Updated 3 years ago
- ☆106Updated 5 years ago
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆89Updated 4 years ago
- ☆52Updated 2 years ago
- Implementation of the Box-World environment from the paper "Relational Deep Reinforcement Learning"☆47Updated last year
- Upside-Down Reinforcement Learning (⅂ꓤ) implementation in PyTorch. Based on the paper published by Jürgen Schmidhuber.☆77Updated 5 years ago
- Code for experimenting with state and action abstractions in reinforcement learning.☆30Updated 4 years ago
- Vectorization techniques for fast population-based training.☆56Updated 3 years ago
- Modifiable OpenAI Gym environments for studying generalization in RL☆87Updated 6 years ago
- krazy grid world☆25Updated 5 years ago