[AutoML'22] Bayesian Generational Population-based Training (BG-PBT)
☆31Sep 16, 2022Updated 3 years ago
Alternatives and similar repositories for bgpbt
Users that are interested in bgpbt are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆23Aug 19, 2022Updated 3 years ago
- 🔍 Codebase for the ICML '20 paper "Ready Policy One: World Building Through Active Learning" (arxiv: 2002.02693)☆18Jul 6, 2023Updated 3 years ago
- Toolkit of Causal Model-based Reinforcement Learning.☆33Jun 5, 2023Updated 3 years ago
- Code-base for the paper Spectral Normalisation for Deep Reinforcement Learning: An Optimisation Perspective.☆11Jun 26, 2021Updated 5 years ago
- Vectorization techniques for fast population-based training.☆57Apr 26, 2026Updated 3 months ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Official Codebase for Offline Reinforcement Learning from Images with Latent Space Models☆31Apr 30, 2021Updated 5 years ago
- 📴 OffCon^3: SOTA PyTorch SAC and TD3 Implementations (arxiv: 2101.11331)☆25Jun 20, 2021Updated 5 years ago
- Survival of the Most Influential Prompts: Efficient Black-Box Prompt Search via Clustering and Pruning (Zhou et al.; EMNLP 2023 Findings)☆17Feb 17, 2024Updated 2 years ago
- ☆20Jun 14, 2022Updated 4 years ago
- 🧶 Minimal PyTorch Soft Actor Critic (SAC) implementation☆39Feb 19, 2022Updated 4 years ago
- Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization☆24Jun 24, 2020Updated 6 years ago
- Implementation of Tactical Optimistic and Pessimistic value estimation☆25Jul 18, 2023Updated 3 years ago
- Reinforcement Learning inside a 3D soccer simulation☆37Sep 15, 2024Updated last year
- Docker containers of baseline agents for the Crafter environment☆30Dec 14, 2021Updated 4 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Notebooks for managing NeurIPS 2014 and analysing the NeurIPS experiment.☆13May 22, 2024Updated 2 years ago
- This repository showcases how to use the DynamixelSDK C++ and Python APIs to control an Interbotix XSeries Arm.☆18Apr 28, 2021Updated 5 years ago
- The code for the paper *The Sensitivity of Counterfactual Fairness to Unmeasured Confounding* @ UAI 2019☆14Apr 4, 2020Updated 6 years ago
- Learning Laplacian Representations in Reinforcement Learning☆18Jan 2, 2021Updated 5 years ago
- Code for our paper: "GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language Models"☆57Apr 23, 2023Updated 3 years ago
- A project copied from google-research which named motion-imitation was rewrited with PyTorch☆10Sep 30, 2022Updated 3 years ago
- [ICML'24] Tackling Prevalent Conditions in Unsupervised Combinatorial Optimization: Cardinality, Minimum, Covering, and More☆14Jul 12, 2024Updated 2 years ago
- [AAMAS 2025 Oral] CAMP: Collaborative Attention Model with Profiles for Vehicle Routing Problems☆32Dec 3, 2025Updated 8 months ago
- Official code for ACT: Empowering Decision Transformer with Dynamic Programming via Advantage Conditioning (AAAI'24)☆17Feb 10, 2024Updated 2 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Quadruped Robot controller design and simulation on Webots☆12Apr 28, 2020Updated 6 years ago
- Official Implementation of NeurIPS'23 Paper "Cross-Episodic Curriculum for Transformer Agents"☆32Oct 12, 2023Updated 2 years ago
- ☆22Nov 8, 2021Updated 4 years ago
- PyTorch implementation of Munchausen Reinforcement Learning based on DQN and SAC. Handles discrete and continuous action spaces☆15Oct 3, 2021Updated 4 years ago
- Official Implementation of `An Optimisation Framework for Unsupervised Environment Design` from RLC 2025☆17Nov 24, 2025Updated 8 months ago
- ☆17Dec 12, 2020Updated 5 years ago
- [TPAMI 2023] Learning Symbolic Model-Agnostic Loss Functions via Meta-Learning. Paper Link: https://arxiv.org/abs/2209.08907☆16Aug 5, 2024Updated 2 years ago
- Codes accompanying the paper "Offline Reinforcement Learning with Value-Based Episodic Memory" (ICLR 2022 https://arxiv.org/abs/2110.0979…☆15Mar 9, 2022Updated 4 years ago
- Author's PyTorch implementation of ICML'23 paper "Policy Regularization with Dataset Constraint for Offline Reinforcement Learning" for D…☆18Nov 8, 2024Updated last year
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Test-Time Label-Shift Adaptation☆14May 24, 2023Updated 3 years ago
- Determinantal Point Processes in Julia☆12Feb 20, 2020Updated 6 years ago
- Codes for DATA: Differentiable ArchiTecture Approximation.☆11Jul 22, 2021Updated 5 years ago
- Qt-like event loops, signals and slots for communication across threads and processes in Python☆14Mar 26, 2024Updated 2 years ago
- Discovering Quality-Diversity Algorithms via Meta-Black-Box Optimization☆27Dec 1, 2025Updated 8 months ago
- Official implementation for "How Should We Meta-Learn Reinforcement Learning Algorithms?"☆23Sep 7, 2025Updated 11 months ago
- ☆132Jul 30, 2024Updated 2 years ago