Code for "Constrained Variational Policy Optimization for Safe Reinforcement Learning" (ICML 2022)
☆80May 21, 2023Updated 3 years ago
Alternatives and similar repositories for cvpo-safe-rl
Users that are interested in cvpo-safe-rl are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- 🚀 A fast safe reinforcement learning library in PyTorch☆251Sep 30, 2024Updated last year
- This is the source code of FUSION, a safety-aware causal representation for generalizable driving agents.☆26Oct 23, 2024Updated last year
- Code accompanying the paper "Off-Policy Primal-Dual Safe Reinforcement Learning"☆22Mar 29, 2024Updated 2 years ago
- Code for "On the Robustness of Safe Reinforcement Learning under Observational Perturbations" (ICLR 2023)☆46Dec 10, 2024Updated last year
- 🤖 Elegant implementations of offline safe RL algorithms in PyTorch☆242Sep 13, 2024Updated last year
- 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.
- The repository is for safe reinforcement learning baselines.☆795Mar 13, 2026Updated 2 months ago
- ☆77Oct 19, 2023Updated 2 years ago
- Robust and safe deep reinforcement learning algorithms☆17Mar 27, 2024Updated 2 years ago
- ☆12Dec 15, 2024Updated last year
- Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning☆28Sep 13, 2023Updated 2 years ago
- NeurIPS 2023: Safe Policy Optimization: A benchmark repository for safe reinforcement learning algorithms☆410Mar 20, 2024Updated 2 years ago
- An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.☆70Jul 7, 2023Updated 2 years ago
- NeurIPS 2023: Safety-Gymnasium: A Unified Safe Reinforcement Learning Benchmark☆564Dec 4, 2025Updated 6 months ago
- JMLR: OmniSafe is an infrastructural framework for accelerating SafeRL research.☆1,125Mar 17, 2025Updated last year
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- This repository contains the official code for our NeurIPS 2021 publication "Robust Deep Reinforcement Learning through Adversarial Loss…☆33Jan 21, 2022Updated 4 years ago
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆230Apr 17, 2024Updated 2 years ago
- A pytorch implementation of Constrained Reinforcement Learning Algorithm, including Constrained Soft Actor Critic (Soft Actor Critic Lagr…☆47May 30, 2023Updated 3 years ago
- LAMBDA is a model-based reinforcement learning agent that uses Bayesian world models for safe policy optimization☆39Jan 16, 2023Updated 3 years ago
- Implementations of safe reinforcement learning algorithms☆29Mar 1, 2024Updated 2 years ago
- ☆20Nov 3, 2024Updated last year
- 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
- Safe Multi-Agent MuJoCo benchmark for safe multi-agent reinforcement learning research.☆74Jun 13, 2024Updated last year
- ☆10Sep 9, 2022Updated 3 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 2021 paper "Safe Reinforcement Learning by Imagining the Near Future"☆51Apr 8, 2022Updated 4 years ago
- An implementation of Constrained Policy Optimization (Achiam 2017) in PyTorch☆25Apr 10, 2020Updated 6 years ago
- ☆16May 17, 2024Updated 2 years ago
- Attack AlphaZero Go agents (NeurIPS 2022)☆22Dec 3, 2022Updated 3 years ago
- Basic constrained RL agents used in experiments for the "Benchmarking Safe Exploration in Deep Reinforcement Learning" paper.☆463Apr 2, 2023Updated 3 years ago
- JMLR Cover Letter Template☆10Dec 15, 2021Updated 4 years ago
- PyTorch implementation of Constrained Reinforcement Learning for Soft Actor Critic Algorithm☆63Jul 11, 2022Updated 3 years ago
- Preprint: Asymmetry in Low-Rank Adapters of Foundation Models☆41Feb 27, 2024Updated 2 years ago
- Official GitHub Repository for TRC:Trust Region Conditional Value at Risk for Safe Reinforcement Learning.☆25Nov 24, 2025Updated 6 months ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Feasibility Consistent Representation Learning for Safe Reinforcement Learning (ICML 2024). Current SOTA model-free safe RL algorithm on …☆16Jul 12, 2024Updated last year
- NeurIPS2022: Constrained Update Projection Approach to Safe Policy Optimization☆13Apr 10, 2023Updated 3 years ago
- code for G2LTraj☆19Dec 23, 2024Updated last year
- 针对最经典的表格型Q learning算法进行了复现，能够支持gym中大多数的离散动作和状态空间的环境，譬如CliffWalking-v0。☆10Jan 2, 2021Updated 5 years ago
- Implementation of Recovery RL: Safe Reinforcement Learning With Learned Recovery Zones.☆62Jul 31, 2023Updated 2 years ago
- Official Github Repository for "Trust Region-Based Safe Distributional Reinforcement Learning for Multiple Constraints". (NeurIPS 2023)☆20Nov 30, 2025Updated 6 months ago
- REvolveR: Continuous Evolutionary Models for Robot-to-robot Policy Transfer (ICML 2022 Long Oral)☆27Sep 10, 2022Updated 3 years ago