automl / DAC
Dynamic Algorithm Configuration
☆19Updated 5 years ago
Alternatives and similar repositories for DAC:
Users that are interested in DAC are comparing it to the libraries listed below
- Paper: Challenges in High-dimensional Reinforcement Learning with Evolution Strategies☆28Updated 2 years ago
- A benchmark library for Dynamic Algorithm Configuration.☆30Updated 6 months ago
- A collection of code investigating the use of information theory for abstractions in RL☆16Updated 6 years ago
- Code to run the ASEBO algorithm from the paper: From Complexity to Simplicity: Adaptive ES-Active Subspaces for Blackbox Optimization... …☆16Updated 4 years ago
- HPO and Architecture Benchmarking for RL: Dynamically, Reactive and Efficient☆22Updated last month
- Sample-Efficient Automated Deep Reinforcement Learning☆34Updated 4 years ago
- A Jax/Stax implementation of the general meta learning paper: Oh, J., Hessel, M., Czarnecki, W.M., Xu, Z., van Hasselt, H.P., Singh, S. a…☆21Updated 4 years ago
- A first bare bones paralleled implementation of Go Explore as described by the Uber Engineering blog post☆46Updated 6 years ago
- Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization☆24Updated 4 years ago
- Map-Elites based on Evolution Strategies☆31Updated 3 years ago
- [AutoML'22] Bayesian Generational Population-based Training (BG-PBT)☆28Updated 2 years ago
- **Sferes2 module** A unifying modular framework for Quality-Diversity algorithms☆22Updated 4 years ago
- Optim4RL is a Jax framework of learning to optimize for reinforcement learning.☆25Updated 4 months ago
- ☆50Updated 8 months ago
- Code for Deep Reinforcement and InfoMax Learning (Neurips 2020)☆10Updated 4 years ago
- ☆79Updated 8 months ago
- ☆27Updated 5 years ago
- BOAH: Bayesian Optimization & Analysis of Hyperparameters☆67Updated 4 years ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 5 years ago
- Code for the ICML 2020 publication "Information Particle Filter Tree: An Online Algorithm for POMDPs with Belief-Based Rewards on Continu…☆13Updated 4 years ago
- 🧶 Minimal PyTorch Soft Actor Critic (SAC) implementation☆38Updated 3 years ago
- ☆49Updated 3 years ago
- Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.☆56Updated 5 years ago
- Implementation of the Fast Efficient Hyperparameter Tuning for Policy Gradient Methods https://arxiv.org/abs/1902.06583☆19Updated 5 years ago
- implementation of Wasserstein Natural Policy Gradients and Wasserstein Natural Evolution Strategies☆11Updated 4 years ago
- Reinforcement learning algorithms in RLlib☆57Updated 11 months ago
- Full Chainer implementation of OpenAI's Reinforcement Learning using Random Network Distillation☆31Updated 6 years ago
- [deprecated] Configuration Assessment, Visualization and Evaluation☆46Updated 2 years ago
- ☆43Updated 4 years ago
- Decentralized Reinforcment Learning: Global Decision-Making via Local Economic Transactions (ICML 2020)☆43Updated 2 years ago