smearle / control-pcgrl
Train or evolve controllable and diverse level-generators.
☆45Updated last year
Alternatives and similar repositories for control-pcgrl:
Users that are interested in control-pcgrl are comparing it to the libraries listed below
- A package for "Procedural Content Generation via Reinforcement Learning" OpenAI Gym interface.☆117Updated 4 months ago
- Research Into Learning to Generate Game Levels through Play☆30Updated 5 years ago
- An experimental setup for running quality diversity algorithms on GAN latent spaces.☆21Updated 4 years ago
- Repository for the PGA-MAP-Elites algorithm. PGA-MAP-Elites was developed to efficiently scale MAP-Elites to large genotypes and noisy d…☆38Updated 3 years ago
- PAIRED in PyTorch 🔥☆59Updated 2 years 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
- impact-driven-exploration☆131Updated last year
- A Python interface for Minecraft built on gRPC☆124Updated 2 years ago
- A benchmark to test and compare your pcg algorithm against each other☆12Updated 3 weeks ago
- Combining NEAT and novelty search to quickly generate diverse video game levels (GECCO 2022). https://arxiv.org/abs/2204.06934☆15Updated 2 years ago
- General Modules for JAX☆64Updated last month
- Code to reproduce Neural Game Engine experiments and pre-trained models☆41Updated 2 years ago
- Novelty MiniGrid--NovGrid--is an extension of MiniGrid environment that allows for the world properties and dynamics to change according …☆35Updated 11 months ago
- Reinforcement Learning with Latent Flow☆42Updated 4 years ago
- map elites python reference implementation☆82Updated last year
- 10th Anniversary Edition (Not endorsed by Nintendo)☆107Updated 3 months ago
- ☆20Updated 5 years ago
- Implementations of robust Dual Curriculum Design (DCD) algorithms for unsupervised environment design.☆130Updated 8 months ago
- AGAC: Adversarially Guided Actor-Critic☆49Updated 3 years ago
- megastep helps you build 1-million FPS reinforcement learning environments on a single GPU☆135Updated 3 years ago
- A grid-world game engine for game AI research☆240Updated last year
- Documentation: https://stratega.readthedocs.io/en/latest/☆48Updated last year
- JAX implementations of core Deep RL algorithms☆79Updated 3 years ago
- PushWorld: A benchmark for manipulation planning with tools and movable obstacles☆82Updated last year
- Python implementation of the genetic algorithm MAP-Elites with applications in constrained optimization☆50Updated 4 years ago
- Vectorization techniques for fast population-based training.☆56Updated 2 years ago
- Episodic Control☆19Updated 2 years ago
- Code for Powderworld: A Platform for Understanding Generalization via Rich Task Distributions☆66Updated 8 months ago
- Docker containers of baseline agents for the Crafter environment☆28Updated 3 years ago