vermouth1992 / safe_rl_papers
A list of safe reinforcement learning papers
☆20Updated 5 years ago
Alternatives and similar repositories for safe_rl_papers:
Users that are interested in safe_rl_papers are comparing it to the libraries listed below
- Pytorch implementation of "Safe Exploration in Continuous Action Spaces" [Dalal et al.]☆69Updated 5 years ago
- ☆70Updated last year
- Safe Reinforcement Learning in Constrained Markov Decision Processes☆57Updated 4 years ago
- Code accompanying the paper "Action Robust Reinforcement Learning and Applications in Continuous Control" https://arxiv.org/abs/1901.0918…☆42Updated 5 years ago
- Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning☆23Updated last year
- Code for the NeurIPS 2021 paper "Safe Reinforcement Learning by Imagining the Near Future"☆43Updated 2 years ago
- Code for "Constrained Variational Policy Optimization for Safe Reinforcement Learning" (ICML 2022)☆69Updated last year
- Code for paper Feasible Actor-Critic: Constrained Reinforcement Learning for Ensuring Statewise Safety.☆19Updated 2 years ago
- ☆42Updated 3 years ago
- Official open-source implementation of ICML 2022 paper: Reachability Constrainted Reinforcement Learning.☆34Updated 2 years ago
- Safe Multi-Agent MuJoCo benchmark for safe multi-agent reinforcement learning research.☆55Updated 8 months ago
- Implementation of PPO Lagrangian in PyTorch☆36Updated 2 years ago
- Code for the paper "WCSAC: Worst-Case Soft Actor Critic for Safety-Constrained Reinforcement Learning"☆51Updated last year
- Model-Free Safe Reinforcement Learning through Neural Barrier Certificate☆32Updated 9 months ago
- An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.☆64Updated last year
- Deep Learning (FS 2020)☆16Updated 2 years ago
- ☆143Updated 5 years ago
- The aim of this repo is to bring ideas and relevant literature relating to Safe-RL in the context of autonomous vehicles.☆47Updated 6 years ago
- A Pytorch Implementation of Multi Agent Soft Actor Critic☆38Updated 6 years ago
- Implementations of safe reinforcement learning algorithms☆26Updated 11 months ago
- Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method☆64Updated last year
- Code for "On the Robustness of Safe Reinforcement Learning under Observational Perturbations" (ICLR 2023)☆44Updated 2 months ago
- Implementations of SAILR, PDO, and CSC☆31Updated 7 months ago
- Robust and safe deep reinforcement learning algorithms☆11Updated 10 months ago
- Learning Safe Multi-Agent Control with Decentralized Neural Barrier Certificates☆73Updated last year
- Code for Learning Barrier Certificates: Towards Safe Reinforcement Learning with Zero Training-time Violations☆18Updated 2 years ago
- Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)☆52Updated 2 years ago
- [IEEE Transactions on Intelligent Transportation Systems] Curricular Subgoal for Inverse Reinforcement Learning☆13Updated last year
- Code for the paper "AlwaysSafe: Reinforcement Learning Without Safety Constraint Violations During Training"☆17Updated 2 years ago
- ☆47Updated 3 years ago