Michael-Beukman / PCGNNLinks
Combining NEAT and novelty search to quickly generate diverse video game levels (GECCO 2022). https://arxiv.org/abs/2204.06934
☆16Updated 3 years ago
Alternatives and similar repositories for PCGNN
Users that are interested in PCGNN are comparing it to the libraries listed below
Sorting:
- ☆40Updated 4 years ago
- 10th Anniversary Edition (Not endorsed by Nintendo)☆117Updated last year
- Train or evolve controllable and diverse level-generators.☆46Updated last year
- CIC: Contrastive Intrinsic Control for Unsupervised Skill Discovery☆83Updated 3 years ago
- Code for paper "Bridging Imagination and Reality for Model-Based Deep Reinforcement Learning".☆14Updated 4 years ago
- AGAC: Adversarially Guided Actor-Critic☆47Updated 4 years ago
- Implementation of Trajectory Transformer with attention caching and batched beam search☆116Updated 2 years ago
- PyTorch implementation for "On the Critical Role of Conventions in Adaptive Human-AI Collaboration", ICLR 2021☆15Updated 4 years ago
- Reinforcement Learning with Latent Flow☆44Updated 4 years ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 5 years ago
- The source code for the gym-microrts paper.☆42Updated 3 years ago
- Generalised UDRL☆37Updated 3 years ago
- TeachMyAgent is a testbed platform for Automatic Curriculum Learning methods in Deep RL.☆76Updated 2 years ago
- Open source code for paper "Denoised MDPs: Learning World Models Better Than the World Itself"☆136Updated 2 years ago
- Code from the paper "Effective Diversity in Population Based Reinforcement Learning", presented as a spotlight at NeurIPS 2020. This is t…☆44Updated 5 years ago
- Research Into Learning to Generate Game Levels through Play☆30Updated 5 years ago
- Adaptable Agent Populations via a Generative Model of Policies☆12Updated 4 years ago
- A benchmark to test and compare your pcg algorithm against each other☆22Updated 4 months ago
- ☆45Updated 4 years ago
- Learning Task Embeddings for Teamwork Adaptation in Multi-Agent Reinforcement Learning☆14Updated last year
- Code for "Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills"☆34Updated 5 years ago
- Rainbow DQN implementation accompanying the paper "Fast and Data-Efficient Training of Rainbow" which reaches 205.7 median HNS after 10M …☆44Updated 4 years ago
- Official code for "Pretraining Representations For Data-Efficient Reinforcement Learning" (NeurIPS 2021)☆55Updated 4 years ago
- ☆33Updated last year
- Code for "World Model as a Graph: Learning Latent Landmarks for Planning" (ICML 2021 Long Presentation)☆68Updated 4 years ago
- Official implementation of "Approximating Gradients for Differentiable Quality Diversity in Reinforcement Learning"☆22Updated 3 years ago
- Repository for the paper "Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors"☆46Updated 3 years ago
- impact-driven-exploration☆133Updated 2 years ago
- Implementation for ICML 2019 paper, EMI: Exploration with Mutual Information.☆36Updated 5 years ago
- Training code and evaluation benchmarks for the "Self-Supervised Policy Adaptation during Deployment" paper.☆114Updated 5 years ago