zmsn-2077 / CUP-safe-rlLinks
NeurIPS2022: Constrained Update Projection Approach to Safe Policy Optimization
☆14Updated 2 years ago
Alternatives and similar repositories for CUP-safe-rl
Users that are interested in CUP-safe-rl are comparing it to the libraries listed below
Sorting:
- Code for a model-based version of Constrained Policy Optimization☆11Updated 4 years ago
- ☆75Updated last year
- Pytorch Implementation for First Order Constrained Optimization in Policy Space (FOCOPS).☆26Updated 3 years ago
- Implementations of safe reinforcement learning algorithms☆28Updated last year
- Implementation of PPO Lagrangian in PyTorch☆47Updated 2 years ago
- Code for "Constrained Variational Policy Optimization for Safe Reinforcement Learning" (ICML 2022)☆79Updated 2 years ago
- PyTorch implementation of Constrained Policy Optimization☆54Updated 3 years ago
- Safe Multi-Agent MuJoCo benchmark for safe multi-agent reinforcement learning research.☆64Updated last year
- The implementation of ICLR 2023 paper "Discovering Generalizable Multi-agent Coordination Skills from Multi-task Offline Data".☆42Updated 7 months ago
- Code space for L4DC paper "State-wise Safe Reinforcement Learning With Pixel Observations"☆12Updated last year
- ☆44Updated 4 years ago
- This repository has code for the paper "Model-based Safe Deep Reinforcement Learning via a Constrained Proximal Policy Optimization Algor…☆27Updated last year
- Code for the NeurIPS 2023 Paper: Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Sta…☆24Updated last year
- ☆29Updated 2 years ago
- Code for paper Feasible Actor-Critic: Constrained Reinforcement Learning for Ensuring Statewise Safety.☆20Updated 3 years ago
- ☆16Updated 3 years ago
- An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.☆69Updated last year
- Official open-source implementation of ICML 2022 paper: Reachability Constrainted Reinforcement Learning.☆36Updated 2 years ago
- Pytorch implementation of "Safe Exploration in Continuous Action Spaces" [Dalal et al.]☆72Updated 6 years ago
- ☆44Updated 3 years ago
- Code accompanying the paper "Off-Policy Primal-Dual Safe Reinforcement Learning"☆18Updated last year
- Model-Free Safe Reinforcement Learning through Neural Barrier Certificate☆40Updated last year
- Code for "On the Robustness of Safe Reinforcement Learning under Observational Perturbations" (ICLR 2023)☆46Updated 6 months ago
- The code for paper, "Episodic Multi-agent Reinforcement Learning with Curiosity-driven Exploration", NeurIPS 2021.☆40Updated 2 years ago
- Codebase for [Order Matters: Agent-by-agent Policy Optimization](https://openreview.net/forum?id=Q-neeWNVv1)☆29Updated 6 months ago
- The code for AAMAS2022 《GCS: Graph-based Coordination Strategy for Multi-Agent Reinforcement Learning》☆41Updated 3 years ago
- ELIGN: Expectation Alignment as a Multi-agent Intrinsic Reward☆18Updated 2 years ago
- Code for the paper "WCSAC: Worst-Case Soft Actor Critic for Safety-Constrained Reinforcement Learning"☆55Updated last year
- The official implementation of "Transformer in Transformer as Backbone for Deep Reinforcement Learning"☆55Updated last year
- ☆39Updated 2 years ago