A benchmark library for Dynamic Algorithm Configuration.
☆35Feb 23, 2026Updated 3 weeks ago
Alternatives and similar repositories for DACBench
Users that are interested in DACBench are comparing it to the libraries listed below
Sorting:
- The Mighty cRL library you've been looking for!☆57Updated this week
- Source code of the SHADE with Iterative Local Search, an algorithm specially designed for for real-parameter optimization with high dimen…☆21Mar 31, 2020Updated 5 years ago
- Official implementation of NeurIPS22 paper “Multi-agent Dynamic Algorithm Configuration”☆26Mar 6, 2023Updated 3 years ago
- This is the code of reproducing the results of our paper: On the importance of Hyperparameter Optimization for Model-based Reinforcement …☆16Aug 19, 2021Updated 4 years ago
- An interactive framework to visualize and analyze your AutoML process in real-time.☆94Updated this week
- HPO and Architecture Benchmarking for RL: Dynamically, Reactive and Efficient☆28Updated this week
- Official repository for "Construction of Hierarchical Neural Architecture Search Spaces based on Context-free Grammars" (NeurIPS 2023)☆17Oct 26, 2023Updated 2 years ago
- ☆91Jan 27, 2026Updated last month
- Dynamic Algorithm Configuration☆21Jan 22, 2020Updated 6 years ago
- A rich, visual interface for easily starting and monitoring your Hydra applications on SLURM clusters☆15Dec 9, 2025Updated 3 months ago
- ☆16Feb 1, 2022Updated 4 years ago
- Code for the paper "Learning Step-Size Adaptation in CMA-ES"☆12Mar 24, 2023Updated 2 years ago
- ☆17Mar 2, 2022Updated 4 years ago
- We propose an evolution-based approach to meta-learn synthetic neural environments and reward neural networks for reinforcement learning.☆21Feb 23, 2023Updated 3 years ago
- PyTorch implementation of the "Learning an Adaptive Learning Rate Schedule" paper found here: https://arxiv.org/abs/1909.09712.☆12Jan 15, 2020Updated 6 years ago
- Sample-Efficient Automated Deep Reinforcement Learning☆34Mar 17, 2021Updated 5 years ago
- a minimal website to get the diff of llm rewrites☆11Dec 11, 2024Updated last year
- Benchmarking RL generalization in an interpretable way.☆178Nov 20, 2025Updated 4 months ago
- [CoRL 2020] COG: Connecting New Skills to Past Experience with Offline Reinforcement Learning☆35Oct 28, 2020Updated 5 years ago
- In-context Bayesian Optimization☆17Feb 20, 2026Updated last month
- Code to accompany the paper "The Information Geometry of Unsupervised Reinforcement Learning"☆20Oct 6, 2021Updated 4 years ago
- ☆25Sep 23, 2024Updated last year
- SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization☆1,221Mar 11, 2026Updated last week
- Optim4RL is a Jax framework of learning to optimize for reinforcement learning.☆28Nov 27, 2024Updated last year
- ☆17Dec 12, 2020Updated 5 years ago
- Parameter Importance according to OpenML☆14Feb 23, 2022Updated 4 years ago
- BOAH: Bayesian Optimization & Analysis of Hyperparameters☆67Jun 17, 2020Updated 5 years ago
- code for "Data Might be Enough: Bridge Real-World Traffic Signal Control Using Offline Reinforcement Learning"☆11May 2, 2024Updated last year
- Parameter Importance Analysis Tool☆77Mar 26, 2021Updated 4 years ago
- Collection of resources on plasticity loss in deep reinforcement learning☆23Nov 12, 2024Updated last year
- Code from the paper "Effective Diversity in Population Based Reinforcement Learning", presented as a spotlight at NeurIPS 2020. This is t…☆46Oct 29, 2020Updated 5 years ago
- ☆15Dec 13, 2022Updated 3 years ago
- ☆16Jul 16, 2024Updated last year
- Multi-task Multi-agent Soft Actor Critic for SMAC☆15Jan 18, 2022Updated 4 years ago
- code for polite☆11Feb 28, 2024Updated 2 years ago
- Plug-and-play hydra sweepers for the EA-based multifidelity method DEHB and several population-based training variations, all proven to e…☆86Nov 27, 2023Updated 2 years ago
- A MATLAB simple interactive Reinforcement Learning environment for Evolutionary Neural Network-based car with a proximity sensor☆14Apr 11, 2019Updated 6 years ago
- ☆19Feb 4, 2026Updated last month
- Vectorization techniques for fast population-based training.☆57Aug 12, 2022Updated 3 years ago