Tools for accelerating safe exploration research.
☆599Apr 2, 2023Updated 3 years ago
Alternatives and similar repositories for safety-gym
Users that are interested in 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:
- Basic constrained RL agents used in experiments for the "Benchmarking Safe Exploration in Deep Reinforcement Learning" paper.☆464Apr 2, 2023Updated 3 years ago
- NeurIPS 2023: Safety-Gymnasium: A Unified Safe Reinforcement Learning Benchmark☆560Dec 4, 2025Updated 5 months ago
- An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.☆70Jul 7, 2023Updated 2 years ago
- The repository is for safe reinforcement learning baselines.☆792Mar 13, 2026Updated last month
- NeurIPS 2023: Safe Policy Optimization: A benchmark repository for safe reinforcement learning algorithms☆409Mar 20, 2024Updated 2 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Safe Multi-Agent MuJoCo benchmark for safe multi-agent reinforcement learning research.☆73Jun 13, 2024Updated last year
- PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL☆878Apr 29, 2026Updated last week
- Constrained Policy Optimization☆337Jun 7, 2017Updated 8 years ago
- This is a suite of reinforcement learning environments illustrating various safety properties of intelligent agents.☆633May 18, 2022Updated 3 years ago
- JMLR: OmniSafe is an infrastructural framework for accelerating SafeRL research.☆1,112Mar 17, 2025Updated last year
- A collection of reference environments for offline reinforcement learning☆1,676Nov 18, 2024Updated last year
- Safe reinforcement learning with stability guarantees☆237Feb 8, 2022Updated 4 years ago
- Library for Model Based RL☆1,061Jul 12, 2024Updated last year
- ☆77Oct 19, 2023Updated 2 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.
- A set of algorithms and environments to train SafeRL agents, written in TensorFlow2 and OpenAI Gym.☆12Jul 26, 2022Updated 3 years ago
- Implementations of SAILR, PDO, and CSC☆31Jul 15, 2024Updated last year
- Real-World RL Benchmark Suite☆365Aug 11, 2020Updated 5 years ago
- Safe Multi-Agent Isaac Gym benchmark for safe multi-agent reinforcement learning research.☆65Jan 10, 2025Updated last year
- Simple and easily configurable grid world environments for reinforcement learning☆2,446Apr 25, 2026Updated 2 weeks ago
- Pytorch implementation of "Safe Exploration in Continuous Action Spaces" [Dalal et al.]☆75Jun 2, 2019Updated 6 years ago
- Datasets for data-driven deep reinforcement learning with PyBullet environments☆152Mar 19, 2021Updated 5 years ago
- ☆399Jul 18, 2019Updated 6 years ago
- A toolkit for reproducible reinforcement learning research.☆2,100May 4, 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.
- bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent☆1,541Mar 30, 2026Updated last month
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆544Nov 22, 2022Updated 3 years ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,425Nov 29, 2023Updated 2 years ago
- Procgen Benchmark: Procedurally-Generated Game-Like Gym-Environments☆1,157Mar 27, 2026Updated last month
- Reinforcement Learning in PyTorch☆2,274Jan 4, 2021Updated 5 years ago
- Collections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning☆1,812Jan 20, 2026Updated 3 months ago
- Implementation of PPO Lagrangian in PyTorch☆55Aug 29, 2022Updated 3 years ago
- Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method☆65Mar 24, 2023Updated 3 years ago
- Safe Reinforcement Learning in Constrained Markov Decision Processes☆61Jul 21, 2020Updated 5 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Experiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆475Jul 6, 2023Updated 2 years ago
- Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆197Dec 8, 2022Updated 3 years ago
- Official implementation of the paper: Safe Model-Based Reinforcement Learning with an Uncertainty-Aware Reachability Certificate☆25Dec 4, 2023Updated 2 years ago
- Author's PyTorch implementation of BCQ for continuous and discrete actions☆663Apr 6, 2021Updated 5 years ago
- Code for the paper "WCSAC: Worst-Case Soft Actor Critic for Safety-Constrained Reinforcement Learning"☆67Aug 3, 2023Updated 2 years ago
- 🤖 Elegant implementations of offline safe RL algorithms in PyTorch☆241Sep 13, 2024Updated last year
- A minimalist environment for decision-making in autonomous driving☆3,244Updated this week