An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.
☆70Jul 7, 2023Updated 3 years ago
Alternatives and similar repositories for Bullet-Safety-Gym
Users that are interested in Bullet-Safety-Gym are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Implementations of safe reinforcement learning algorithms☆29Mar 1, 2024Updated 2 years ago
- OpenaAI Gym Franka Emika Panda robot environment based on PyBullet.☆12Sep 8, 2023Updated 3 years ago
- NeurIPS2022: Constrained Update Projection Approach to Safe Policy Optimization☆14Apr 10, 2023Updated 3 years ago
- Tools for accelerating safe exploration research.☆602Apr 2, 2023Updated 3 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.
- Basic constrained RL agents used in experiments for the "Benchmarking Safe Exploration in Deep Reinforcement Learning" paper.☆463Apr 2, 2023Updated 3 years ago
- NeurIPS 2023: Safe Policy Optimization: A benchmark repository for safe reinforcement learning algorithms☆418Mar 20, 2024Updated 2 years ago
- NeurIPS 2023: Safety-Gymnasium: A Unified Safe Reinforcement Learning Benchmark☆582Jul 21, 2026Updated 2 months ago
- Code for the NeurIPS 2021 paper "Safe Reinforcement Learning by Imagining the Near Future"☆52Apr 8, 2022Updated 4 years ago
- Official open-source implementation of ICML 2022 paper: Reachability Constrainted Reinforcement Learning.☆44Jul 28, 2022Updated 4 years ago
- PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL☆919Apr 29, 2026Updated 4 months ago
- 新增一个CBF层,并将其结合进actor网络中,得到safe RL框架。后续验证中发现这种做法并没有实质性的用处,所以不再继续这个项目☆10Mar 14, 2023Updated 3 years ago
- Code for Learning Barrier Certificates: Towards Safe Reinforcement Learning with Zero Training-time Violations☆18Mar 4, 2022Updated 4 years ago
- Code for "Constrained Variational Policy Optimization for Safe Reinforcement Learning" (ICML 2022)☆81May 21, 2023Updated 3 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.
- Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method☆65Mar 24, 2023Updated 3 years ago
- JMLR: OmniSafe is an infrastructural framework for accelerating SafeRL research.☆1,153Mar 17, 2025Updated last year
- ☆81Oct 19, 2023Updated 2 years ago
- The repository is for safe reinforcement learning baselines.☆814Mar 13, 2026Updated 6 months ago
- panda_gym integration to use an AI to move the real robot☆11Apr 14, 2021Updated 5 years ago
- Code for "On the Robustness of Safe Reinforcement Learning under Observational Perturbations" (ICLR 2023)☆46Dec 10, 2024Updated last year
- Contains the code for "BaRC: Backward Reachability Curriculum for Robotic Reinforcement Learning" by Boris Ivanovic, James Harrison, Apoo…☆12Jun 20, 2018Updated 8 years ago
- Code for the paper "WCSAC: Worst-Case Soft Actor Critic for Safety-Constrained Reinforcement Learning"☆68Aug 3, 2023Updated 3 years ago
- Model-Free Safe Reinforcement Learning through Neural Barrier Certificate☆48May 6, 2024Updated 2 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.
- Learning Safe Multi-Agent Control with Decentralized Neural Barrier Certificates☆77Feb 25, 2023Updated 3 years ago
- Safe Multi-Agent Isaac Gym benchmark for safe multi-agent reinforcement learning research.☆66Jan 10, 2025Updated last year
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆238Apr 17, 2024Updated 2 years ago
- Implementation of Recovery RL: Safe Reinforcement Learning With Learned Recovery Zones.☆66Jul 31, 2023Updated 3 years ago
- A flexible Multi-Agent Reinforcement Learning (MARL) environment for Collective Robotic Construction (CRC) systems☆13Mar 22, 2023Updated 3 years ago
- ☆19Nov 10, 2023Updated 2 years ago
- PyTorch implementation of Constrained Policy Optimization☆58Oct 19, 2021Updated 4 years ago
- Pytorch Implementation for First Order Constrained Optimization in Policy Space (FOCOPS).☆29Dec 9, 2021Updated 4 years ago
- Constrained Policy Optimization☆339Jun 7, 2017Updated 9 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Code for the NeurIPS 2023 Paper: Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Sta…☆29Oct 29, 2023Updated 2 years ago
- Repository containing the code for safe reinforcement learning in two custom environments☆46Apr 9, 2025Updated last year
- Constrained Policy Optimization implementation on Safety Gym☆30Jan 8, 2022Updated 4 years ago
- Simple gym environments for safety in Reinforcement Learning Research☆18Jul 17, 2024Updated 2 years ago
- 🔥 Datasets and env wrappers for offline safe reinforcement learning☆141Nov 12, 2025Updated 10 months ago
- Safe Reinforcement Learning algorithms☆75Aug 27, 2022Updated 4 years ago
- The repository is for Reinforcement-Learning Uncertainty research, in which we investigate various uncertain factors in RL.☆23Jun 16, 2023Updated 3 years ago