RobertTLange / es-lotteryLinks
Lottery Tickets in Evolutionary Optimization (Lange & Sprekeler, ICML 2023)
β17Updated 2 years ago
Alternatives and similar repositories for es-lottery
Users that are interested in es-lottery are comparing it to the libraries listed below
Sorting:
- Semi-Supervised Offline Reinforcement Learning with Action-Free Trajectoriesβ42Updated 2 years ago
- π Codebase for the ICML '20 paper "Ready Policy One: World Building Through Active Learning" (arxiv: 2002.02693)β18Updated 2 years ago
- Codes for Evolving Plastic ANNsβ14Updated 3 years ago
- Open source code for paper "On the Learning and Learnability of Quasimetrics".β32Updated 3 years ago
- The Energy Transformer block, in JAXβ62Updated 2 years ago
- β34Updated 2 years ago
- Variational Reinforcement Learningβ16Updated last year
- Generalised UDRLβ37Updated 3 years ago
- Neuroevolution Benchmark in JAX π¦β42Updated 2 years ago
- [AutoML'22] Bayesian Generational Population-based Training (BG-PBT)β29Updated 3 years ago
- Official repository for the paper "Neural Differential Equations for Learning to Program Neural Nets Through Continuous Learning Rules" (β¦β23Updated 6 months ago
- β25Updated last year
- Official implementation of "Approximating Gradients for Differentiable Quality Diversity in Reinforcement Learning"β21Updated 3 years ago
- β57Updated last year
- β15Updated 3 years ago
- β19Updated 4 years ago
- Repo to reproduce the First-Explore paper resultsβ38Updated 11 months ago
- Code for GFlowNet-EM, a novel algorithm for fitting latent variable models with compositional latents and an intractable true posterior.β41Updated last year
- β17Updated 3 years ago
- β13Updated 3 years ago
- Official repository for the paper "Going Beyond Linear Transformers with Recurrent Fast Weight Programmers" (NeurIPS 2021)β50Updated 6 months ago
- TaskMet Task-driven Metric Learning for Model Learningβ20Updated last year
- β17Updated 5 years ago
- Official code for the paper "Compositional Generalization from First Principles" (NeurIPS 2023)β13Updated 2 years ago
- Deep Networks Grok All the Time and Here is Whyβ38Updated last year
- β16Updated last year
- β13Updated 3 years ago
- Open source code combining implementations of Upside Down Reinforcement Learning and Reward Conditioned Policiesβ18Updated 4 years ago
- Representation Learning in RLβ13Updated 3 years ago
- [ICLR 2022] "Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How" by Yuning You, Yue Cao, Tianlβ¦β14Updated 3 years ago