zmsn-2077 / CUP-safe-rl
NeurIPS2022: Constrained Update Projection Approach to Safe Policy Optimization
☆12Updated last year
Alternatives and similar repositories for CUP-safe-rl:
Users that are interested in CUP-safe-rl are comparing it to the libraries listed below
- ☆71Updated last year
- Implementation of PPO Lagrangian in PyTorch☆37Updated 2 years ago
- An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.☆64Updated last year
- PyTorch implementation of Constrained Policy Optimization☆52Updated 3 years ago
- Implementations of safe reinforcement learning algorithms☆26Updated last year
- Code for "On the Robustness of Safe Reinforcement Learning under Observational Perturbations" (ICLR 2023)☆45Updated 2 months ago
- Code for "Constrained Variational Policy Optimization for Safe Reinforcement Learning" (ICML 2022)☆69Updated last year
- Safe Multi-Agent MuJoCo benchmark for safe multi-agent reinforcement learning research.☆56Updated 8 months ago
- Pytorch Implementation for First Order Constrained Optimization in Policy Space (FOCOPS).☆26Updated 3 years ago
- Code for paper Feasible Actor-Critic: Constrained Reinforcement Learning for Ensuring Statewise Safety.☆20Updated 2 years ago
- Official open-source implementation of ICML 2022 paper: Reachability Constrainted Reinforcement Learning.☆35Updated 2 years ago
- Code for the NeurIPS 2023 Paper: Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Sta…☆20Updated last year
- Code for the paper "WCSAC: Worst-Case Soft Actor Critic for Safety-Constrained Reinforcement Learning"☆53Updated last year
- Code for a model-based version of Constrained Policy Optimization☆10Updated 3 years ago
- Model-Free Safe Reinforcement Learning through Neural Barrier Certificate☆33Updated 10 months ago
- Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning☆23Updated last year
- The implementation of ICLR-2023 paper "Discovering Generalizable Multi-agent Coordination Skills from Multi-task Offline Data".☆39Updated 4 months ago
- 🔥 Datasets and env wrappers for offline safe reinforcement learning☆88Updated 5 months ago
- [ICLR 2024] The official implementation of "Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model"☆92Updated 3 weeks ago
- Google Research Football MARL Benchmark and Research Toolkit☆39Updated 9 months ago
- ☆28Updated 11 months ago
- Robust and safe deep reinforcement learning algorithms☆12Updated 11 months ago
- [IEEE Transactions on Intelligent Transportation Systems] Curricular Subgoal for Inverse Reinforcement Learning☆13Updated last year
- This repository has code for the paper "Model-based Safe Deep Reinforcement Learning via a Constrained Proximal Policy Optimization Algor…☆26Updated last year
- ☆37Updated 2 years ago
- ☆41Updated last month
- Codebase for [Order Matters: Agent-by-agent Policy Optimization](https://openreview.net/forum?id=Q-neeWNVv1)☆28Updated 2 months ago
- Model-based Offline Policy Optimization re-implement all by pytorch☆30Updated last year