Basic constrained RL agents used in experiments for the "Benchmarking Safe Exploration in Deep Reinforcement Learning" paper.
☆462Apr 2, 2023Updated 3 years ago
Alternatives and similar repositories for safety-starter-agents
Users that are interested in safety-starter-agents are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Tools for accelerating safe exploration research.☆602Apr 2, 2023Updated 3 years ago
- The repository is for safe reinforcement learning baselines.☆814Mar 13, 2026Updated 7 months ago
- NeurIPS 2023: Safe Policy Optimization: A benchmark repository for safe reinforcement learning algorithms☆421Mar 20, 2024Updated 2 years ago
- Implementation of PPO Lagrangian in PyTorch☆56Aug 29, 2022Updated 4 years ago
- Constrained Policy Optimization☆339Jun 7, 2017Updated 9 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- NeurIPS 2023: Safety-Gymnasium: A Unified Safe Reinforcement Learning Benchmark☆593Jul 21, 2026Updated 2 months ago
- Code for the paper "WCSAC: Worst-Case Soft Actor Critic for Safety-Constrained Reinforcement Learning"☆68Aug 3, 2023Updated 3 years ago
- JMLR: OmniSafe is an infrastructural framework for accelerating SafeRL research.☆1,158Mar 17, 2025Updated last year
- PyTorch implementation of Constrained Policy Optimization☆58Oct 19, 2021Updated 4 years ago
- An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.☆71Jul 7, 2023Updated 3 years ago
- 🚀 A fast safe reinforcement learning library in PyTorch☆263Sep 30, 2024Updated 2 years ago
- Pytorch implementation of "Safe Exploration in Continuous Action Spaces" [Dalal et al.]☆75Jun 2, 2019Updated 7 years ago
- Implementations of safe reinforcement learning algorithms☆29Mar 1, 2024Updated 2 years ago
- Official open-source implementation of ICML 2022 paper: Reachability Constrainted Reinforcement Learning.☆44Jul 28, 2022Updated 4 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- PyTorch implementation of Constrained Reinforcement Learning for Soft Actor Critic Algorithm☆63Jul 11, 2022Updated 4 years ago
- ☆81Oct 19, 2023Updated 2 years ago
- PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL☆927Apr 29, 2026Updated 5 months ago
- Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method☆65Mar 24, 2023Updated 3 years ago
- Paper list for constrained policy optimization in reinforcement learning.☆75Nov 7, 2023Updated 2 years ago
- Code for the paper "AlwaysSafe: Reinforcement Learning Without Safety Constraint Violations During Training"☆17May 9, 2022Updated 4 years ago
- ☆165May 3, 2019Updated 7 years ago
- Pytorch Implementation for First Order Constrained Optimization in Policy Space (FOCOPS).☆29Dec 9, 2021Updated 4 years ago
- Safe Multi-Agent MuJoCo benchmark for safe multi-agent reinforcement learning research.☆79Jun 13, 2024Updated 2 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.
- Safe Reinforcement Learning in Constrained Markov Decision Processes☆62Jul 21, 2020Updated 6 years ago
- Code for the NeurIPS 2021 paper "Safe Reinforcement Learning by Imagining the Near Future"☆52Apr 8, 2022Updated 4 years ago
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆239Apr 17, 2024Updated 2 years ago
- Safe reinforcement learning with stability guarantees☆240Feb 8, 2022Updated 4 years ago
- Code for a model-based version of Constrained Policy Optimization☆11May 6, 2021Updated 5 years ago
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆564Nov 22, 2022Updated 3 years ago
- Implementation of Recovery RL: Safe Reinforcement Learning With Learned Recovery Zones.☆66Jul 31, 2023Updated 3 years ago
- An implementation of Constrained Policy Optimization (Achiam 2017) in PyTorch☆24Apr 10, 2020Updated 6 years ago
- Code for "On the Robustness of Safe Reinforcement Learning under Observational Perturbations" (ICLR 2023)☆46Dec 10, 2024Updated last year
- 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.
- Benchmark for Continuous Multi-Agent Robotic Control, based on OpenAI's Mujoco Gym environments.☆375Mar 16, 2023Updated 3 years ago
- The aim of this repo is to bring ideas and relevant literature relating to Safe-RL in the context of autonomous vehicles.☆52Aug 3, 2018Updated 8 years ago
- A collection of reference environments for offline reinforcement learning☆1,709Nov 18, 2024Updated last year
- Simple implementation for Constrained Policy Optimization in Pytorch☆17Aug 27, 2022Updated 4 years ago
- A pytorch implementation of Constrained Reinforcement Learning Algorithm, including Constrained Soft Actor Critic (Soft Actor Critic Lagr…☆49May 30, 2023Updated 3 years ago
- Real-World RL Benchmark Suite☆366Aug 11, 2020Updated 6 years ago
- 🤖 Elegant implementations of offline safe RL algorithms in PyTorch☆256Sep 13, 2024Updated 2 years ago