openai / safety-starter-agentsView external linksLinks
Basic constrained RL agents used in experiments for the "Benchmarking Safe Exploration in Deep Reinforcement Learning" paper.
☆456Apr 2, 2023Updated 2 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
Sorting:
- Tools for accelerating safe exploration research.☆581Apr 2, 2023Updated 2 years ago
- The repository is for safe reinforcement learning baselines.☆762Jan 22, 2026Updated 3 weeks ago
- NeurIPS 2023: Safe Policy Optimization: A benchmark repository for safe reinforcement learning algorithms☆395Mar 20, 2024Updated last year
- NeurIPS 2023: Safety-Gymnasium: A Unified Safe Reinforcement Learning Benchmark☆539Dec 4, 2025Updated 2 months ago
- Constrained Policy Optimization☆335Jun 7, 2017Updated 8 years ago
- Code for the paper "WCSAC: Worst-Case Soft Actor Critic for Safety-Constrained Reinforcement Learning"☆65Aug 3, 2023Updated 2 years ago
- Implementation of PPO Lagrangian in PyTorch☆55Aug 29, 2022Updated 3 years ago
- JMLR: OmniSafe is an infrastructural framework for accelerating SafeRL research.☆1,065Mar 17, 2025Updated 10 months ago
- An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.☆70Jul 7, 2023Updated 2 years ago
- PyTorch implementation of Constrained Policy Optimization☆55Oct 19, 2021Updated 4 years ago
- 🚀 A fast safe reinforcement learning library in PyTorch☆239Sep 30, 2024Updated last year
- Pytorch implementation of "Safe Exploration in Continuous Action Spaces" [Dalal et al.]☆74Jun 2, 2019Updated 6 years ago
- Implementations of safe reinforcement learning algorithms☆29Mar 1, 2024Updated last year
- Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method☆66Mar 24, 2023Updated 2 years ago
- PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL☆839Nov 6, 2025Updated 3 months ago
- ☆77Oct 19, 2023Updated 2 years ago
- Code for the paper "AlwaysSafe: Reinforcement Learning Without Safety Constraint Violations During Training"☆17May 9, 2022Updated 3 years ago
- Official open-source implementation of ICML 2022 paper: Reachability Constrainted Reinforcement Learning.☆39Jul 28, 2022Updated 3 years ago
- PyTorch implementation of Constrained Reinforcement Learning for Soft Actor Critic Algorithm☆61Jul 11, 2022Updated 3 years ago
- Pytorch Implementation for First Order Constrained Optimization in Policy Space (FOCOPS).☆29Dec 9, 2021Updated 4 years ago
- Paper list for constrained policy optimization in reinforcement learning.☆73Nov 7, 2023Updated 2 years ago
- Benchmark for Continuous Multi-Agent Robotic Control, based on OpenAI's Mujoco Gym environments.☆368Mar 16, 2023Updated 2 years ago
- Safe Multi-Agent MuJoCo benchmark for safe multi-agent reinforcement learning research.☆71Jun 13, 2024Updated last year
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆530Nov 22, 2022Updated 3 years ago
- ☆159May 3, 2019Updated 6 years ago
- Implementation of Recovery RL: Safe Reinforcement Learning With Learned Recovery Zones.☆59Jul 31, 2023Updated 2 years ago
- Code for the NeurIPS 2021 paper "Safe Reinforcement Learning by Imagining the Near Future"☆51Apr 8, 2022Updated 3 years ago
- A collection of reference environments for offline reinforcement learning☆1,646Nov 18, 2024Updated last year
- The aim of this repo is to bring ideas and relevant literature relating to Safe-RL in the context of autonomous vehicles.☆51Aug 3, 2018Updated 7 years ago
- Safe reinforcement learning with stability guarantees☆236Feb 8, 2022Updated 4 years ago
- Safe Reinforcement Learning in Constrained Markov Decision Processes☆61Jul 21, 2020Updated 5 years ago
- Author's PyTorch implementation of BCQ for continuous and discrete actions☆656Apr 6, 2021Updated 4 years ago
- Real-World RL Benchmark Suite☆363Aug 11, 2020Updated 5 years ago
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆220Apr 17, 2024Updated last year
- A set of algorithms and environments to train SafeRL agents, written in TensorFlow2 and OpenAI Gym.☆12Jul 26, 2022Updated 3 years ago
- Code for a model-based version of Constrained Policy Optimization☆11May 6, 2021Updated 4 years ago
- 🤖 Elegant implementations of offline safe RL algorithms in PyTorch☆231Sep 13, 2024Updated last year
- Author's PyTorch implementation of TD3 for OpenAI gym tasks☆2,032Jul 14, 2023Updated 2 years ago
- Code for the paper "Leveraging Procedural Generation to Benchmark Reinforcement Learning"☆179Apr 2, 2023Updated 2 years ago