maxencefaldor / learned-qd
Discovering Quality-Diversity Algorithms via Meta-Black-Box Optimization
β13Updated 2 weeks ago
Alternatives and similar repositories for learned-qd:
Users that are interested in learned-qd are comparing it to the libraries listed below
- β13Updated 9 months ago
- Neuroevolution Benchmark in JAX π¦β38Updated last year
- Official implementation of NeurIPS'24 Spotlight paper "Monte Carlo Tree Search based Space Transfer for Black-box Optimization".β10Updated 4 months ago
- A ray-based library of Distributed POPulation-based OPtimization for Large-Scale Black-Box Optimization.β19Updated last year
- Code for Discovered Policy Optimisation (NeurIPS 2022)β9Updated last year
- Repo to reproduce the First-Explore paper resultsβ37Updated 3 months ago
- Official codebase for "Sampling For Learnability", published at NeurIPS 2024β13Updated last month
- β49Updated 3 years ago
- Official Code for Local Search GFlowNets (ICLR 2024 Spotlight)β17Updated last month
- An Open-Ended Agentic Simulatorβ46Updated 8 months ago
- β20Updated 9 months ago
- [NeurIPS 2019] LOIS: Learning to Optimize In Swarms, guided by posterior estimationβ18Updated 3 years ago
- Official implementation of ICML'24 paper "Offline Multi-Objective Optimization".β19Updated 6 months ago
- β15Updated last year
- Official Implementation of Mementoβ18Updated 4 months ago
- π° Must-Read Papers on Offline Model-Based Optimization π₯β20Updated 3 weeks ago
- Benchmarks for Model-Based Optimizationβ91Updated 11 months ago
- β44Updated last month
- Experiment for Understanding the Effects of Dataset Characteristics on Offline Reinforcement Learningβ25Updated 2 years ago
- [ICML 2023] Official code for "DevFormer: A Symmetric Transformer for Context-Aware Device Placement"β19Updated 4 months ago
- Repository for "Quality-Diversity Actor-Critic: Learning High-Performing and Diverse Behaviors via Value and Successor Features Critics" β¦β16Updated 10 months ago
- Comparison between GFlowNets & Maximum Entropy RLβ16Updated last year
- Official implementation of the NeurIPS 2023 paper "Discovering General Reinforcement Learning Algorithms with Adversarial Environment Desβ¦β26Updated 9 months ago
- [AutoML'22] Bayesian Generational Population-based Training (BG-PBT)β28Updated 2 years ago
- Benchmarking Language Model Agents in Algorithm Search for Combinatorial Optimizationβ11Updated this week
- β11Updated 2 years ago
- Code of the paper: Debiasing Meta-Gradient Reinforcement Learning by Learning the Outer Value Functionβ13Updated 2 years ago
- MetaBox: A Benchmark Platform for Meta-Black-Box Optimization with Reinforcement Learning (https://proceedings.neurips.cc/paper_files/papβ¦β104Updated this week
- Code for ``Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design``.β35Updated 2 months ago
- β23Updated 3 years ago