zmsn-2077 / CUP-safe-rlLinks
NeurIPS2022: Constrained Update Projection Approach to Safe Policy Optimization
☆13Updated 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:
- ☆77Updated 2 years ago
- Code for "Constrained Variational Policy Optimization for Safe Reinforcement Learning" (ICML 2022)☆81Updated 2 years ago
- Implementation of PPO Lagrangian in PyTorch☆54Updated 3 years ago
- PyTorch implementation of Constrained Policy Optimization☆56Updated 4 years ago
- Code space for L4DC paper "State-wise Safe Reinforcement Learning With Pixel Observations"☆12Updated last year
- Implementations of safe reinforcement learning algorithms☆29Updated last year
- The implementation of ICLR 2023 paper "Discovering Generalizable Multi-agent Coordination Skills from Multi-task Offline Data".☆46Updated last year
- Code for the NeurIPS 2023 Paper: Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Sta…☆28Updated 2 years ago
- Code for a model-based version of Constrained Policy Optimization☆11Updated 4 years ago
- ☆44Updated 4 years ago
- An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.☆71Updated 2 years ago
- The offcial implementation of "ToM2C: Target-oriented Multi-agent Communication and Cooperation with Theory of Mind" (ICLR 2022) .☆74Updated last year
- ☆51Updated 3 years ago
- Pytorch Implementation for First Order Constrained Optimization in Policy Space (FOCOPS).☆29Updated 4 years ago
- ☆42Updated 4 years ago
- Code for "On the Robustness of Safe Reinforcement Learning under Observational Perturbations" (ICLR 2023)☆46Updated last year
- Safe Multi-Agent MuJoCo benchmark for safe multi-agent reinforcement learning research.☆70Updated last year
- Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning☆27Updated 2 years ago
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆218Updated last year
- Code accompanying the paper "Off-Policy Primal-Dual Safe Reinforcement Learning"☆21Updated last year
- The implementation of AAAI 2022 paper "Multi-Agent Incentive Communication via Decentralized Teammate Modeling".☆62Updated 2 years ago
- ☆109Updated 4 years ago
- ☆40Updated 3 years ago
- ☆46Updated 4 years ago
- Codebase for [Order Matters: Agent-by-agent Policy Optimization](https://openreview.net/forum?id=Q-neeWNVv1)☆32Updated 2 months ago
- ☆30Updated 3 years ago
- Code for the paper "WCSAC: Worst-Case Soft Actor Critic for Safety-Constrained Reinforcement Learning"☆64Updated 2 years ago
- The code for paper, "Episodic Multi-agent Reinforcement Learning with Curiosity-driven Exploration", NeurIPS 2021.☆41Updated 2 years ago
- ☆48Updated 3 years ago
- Pytorch implementation of "Safe Exploration in Continuous Action Spaces" [Dalal et al.]☆74Updated 6 years ago