Sample-Efficient Automated Deep Reinforcement Learning
☆34Mar 17, 2021Updated 5 years ago
Alternatives and similar repositories for SEARL
Users that are interested in SEARL are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- 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
- ☆17Mar 2, 2022Updated 4 years ago
- A benchmark library for Dynamic Algorithm Configuration.☆37May 11, 2026Updated last month
- ☆16May 5, 2022Updated 4 years ago
- ☆13Apr 25, 2023Updated 3 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- This repo contains scenarios from different source for training and testing autonomous vehicles.☆26Mar 20, 2023Updated 3 years ago
- The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)☆26Feb 3, 2022Updated 4 years ago
- Active Learning with Partial Feedback, ICLR 2019☆11Apr 27, 2020Updated 6 years ago
- Benchmarking RL generalization in an interpretable way.☆182Nov 20, 2025Updated 7 months ago
- Pytorch implementation for "Particle Flow Bayes' Rule"☆16Jun 22, 2019Updated 7 years ago
- Gym Environment for AUV docking procedure☆11Sep 20, 2022Updated 3 years ago
- ☆20Jun 13, 2022Updated 4 years ago
- Code for the NeurIPS 2023 Paper: Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Sta…☆29Oct 29, 2023Updated 2 years ago
- JavaScript implementation of Craig Reynolds’s path-following algorithm☆18Mar 16, 2014Updated 12 years 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.
- Parameter Importance Analysis Tool☆77Mar 26, 2021Updated 5 years ago
- (DEPRECATED, migrated to main repo - hasktorch/hasktorch) Research code generation / FFI binding using libtorch 1.x for the next Hasktor…☆11Sep 13, 2019Updated 6 years ago
- ☆91Jan 27, 2026Updated 5 months ago
- ☆30Aug 20, 2021Updated 4 years ago
- This repository has code for the paper "Model-based Safe Deep Reinforcement Learning via a Constrained Proximal Policy Optimization Algor…☆32Jul 27, 2023Updated 2 years ago
- A Web App to generate caption for Images. VGG-16 Model is used to encode the images and extracting features and LSTM's will be used for t…☆15Apr 11, 2022Updated 4 years ago
- Safe Multi-Agent MuJoCo benchmark for safe multi-agent reinforcement learning research.☆76Jun 13, 2024Updated 2 years ago
- [ICLR 2025] FLAT: LLM Unlearning via Loss Adjustment with Only Forget Data☆14Feb 26, 2025Updated last year
- [NeurIPS25] RULE: Reinforcement UnLEarning Achieves Forge-retain Pareto Optimality☆21Oct 22, 2025Updated 8 months ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Code accompanying https://arxiv.org/abs/1802.02219☆20Oct 5, 2022Updated 3 years ago
- A repo to design basic Policy Gradient labs☆12Jul 6, 2023Updated 2 years ago
- rlplot is an easy to use and highly encapsulated RL plot library (including basic error bar lineplot and a wrapper to "rliable").☆33Dec 8, 2023Updated 2 years ago
- Neurocomputing "Deep Multi-Center Learning for Face Alignment"☆12Mar 28, 2020Updated 6 years ago
- ☆22Updated this week
- ☆16Sep 4, 2023Updated 2 years ago
- c++ implementation for ssh detector for object detect. something likes ssd☆14Jan 14, 2019Updated 7 years ago
- Open source reproduction in PyTorch of "Neural Predictor for Neural Architecture Search".☆39Sep 5, 2020Updated 5 years ago
- ☆15Apr 24, 2020Updated 6 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Implementation of ENAS for CNNs on CIFAR 10☆11Oct 13, 2019Updated 6 years ago
- Synthesis of Control Barrier Functions Using a Supervised Machine Learning Approach☆13Apr 1, 2020Updated 6 years ago
- ☆44Jan 26, 2024Updated 2 years ago
- ☆15Dec 6, 2017Updated 8 years ago
- ☆17Nov 3, 2024Updated last year
- ☆10Jul 20, 2023Updated 2 years ago
- Distributed Priortized Experience Replay☆10Aug 8, 2018Updated 7 years ago