Michael-Beukman / PCGNN
Combining NEAT and novelty search to quickly generate diverse video game levels (GECCO 2022). https://arxiv.org/abs/2204.06934
☆14Updated last year
Related projects: ⓘ
- Code for Powderworld: A Platform for Understanding Generalization via Rich Task Distributions☆63Updated 2 weeks ago
- CIC: Contrastive Intrinsic Control for Unsupervised Skill Discovery☆77Updated 2 years ago
- Evaluating different engineering tricks that make RL work☆16Updated 3 years ago
- Novelty MiniGrid--NovGrid--is an extension of MiniGrid environment that allows for the world properties and dynamics to change according …☆35Updated 3 months ago
- GPT implementation in Flax☆18Updated 2 years ago
- A python implementation of differentiable quality diversity.☆48Updated 2 years ago
- Repository for the QDgym code. A framework for Quality Diversity optimization benchmark tasks based OpenAI Gym.☆21Updated 3 years ago
- Research Into Learning to Generate Game Levels through Play☆28Updated 4 years ago
- Co-evolution of agents and environments in GVG-AI☆16Updated 3 years ago
- Author implementation of Monte Carlo Augmented Actor Critic in PyTorch☆17Updated last year
- Simplistic Pytorch Implementation of the Dreamer-RL☆20Updated 2 years ago
- My Body Is A Cage☆37Updated 3 years ago
- Docker containers of baseline agents for the Crafter environment☆27Updated 2 years ago
- DreamerV3 implementation of Curious Replay, a method for prioritizing experience replay that is tailored to model-based reinforcement lea…☆34Updated last year
- Model-Based Reinforcement Learning via Latent-Space Collocation.☆31Updated last year
- Latent World Models For Intrinsically Motivated Exploration | Official repository☆21Updated 3 years ago
- Official implementation of "Approximating Gradients for Differentiable Quality Diversity in Reinforcement Learning"☆18Updated last year
- Generalised UDRL☆37Updated 2 years ago
- Official repository for paper "Versatile Offline Imitation from Observations and Examples via Regularized State-Occupancy Matching" (ICML…☆25Updated last year
- Reinforcement Learning with Latent Flow☆42Updated 3 years ago
- Standard interface for entity based reinforcement learning environments.☆35Updated 6 months ago
- ☆15Updated 2 years ago
- Vectorization techniques for fast population-based training.☆52Updated 2 years ago
- Collection of in-progress libraries for entity neural networks.☆29Updated 2 years ago
- ☆41Updated 3 years ago
- Train or evolve controllable and diverse level-generators.☆41Updated 6 months ago
- Baselines for gymnax 🤖☆57Updated last year
- PyTorch implementation for "On the Critical Role of Conventions in Adaptive Human-AI Collaboration", ICLR 2021☆14Updated 3 years ago
- Efficient seed-parallel implementation of "Breaking the Replay Ratio Barrier"☆22Updated last year
- ☆28Updated 6 months ago