AliBaheri / Safe-Reinforcement-Learning
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
Related projects ⓘ
Alternatives and complementary repositories for Safe-Reinforcement-Learning
- Safe Reinforcement Learning in Constrained Markov Decision Processes☆55Updated 4 years ago
- ☆131Updated 5 years ago
- Safe exploration in Markov Decision Processes☆38Updated 6 years ago
- Thrid-party safety-gym safe exploration environments for autonomous driving. Also environment used for IROS 2021 paper: Model-based Const…☆28Updated 3 years ago
- Model-Free Safe Reinforcement Learning through Neural Barrier Certificate☆29Updated 6 months ago
- Sampling based Model Predictive Control package for Model-Based RL research☆51Updated 4 years ago
- ☆59Updated last year
- Official open-source implementation of ICML 2022 paper: Reachability Constrainted Reinforcement Learning.☆30Updated 2 years ago
- We use reachability to ensure the safety of a decision agent acting on a dynamic system in real-time. We compute the Forward Reachable Se…☆31Updated 3 years ago
- Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method☆62Updated last year
- Repository containing the code for the paper "Safe Model-Based Reinforcement Learning using Robust Control Barrier Functions". Specifical…☆36Updated 2 years ago
- Safe Exploration with MPC and Gaussian process models☆88Updated 4 years ago
- Pytorch version of the MPC in model-based reinforcement learning (MBRL), currently only test in the CartPole-swing-up environment☆77Updated 4 years ago
- LiqunZhao / A-Barrier-Lyapunov-Actor-Critic-Reinforcement-Learning-Approach-for-Safe-and-Stable-Control☆19Updated 9 months ago
- Learning Safe Multi-Agent Control with Decentralized Neural Barrier Certificates☆70Updated last year
- Pytorch implementation of "Safe Exploration in Continuous Action Spaces" [Dalal et al.]☆66Updated 5 years ago
- Code for the NeurIPS 2021 paper "Safe Reinforcement Learning by Imagining the Near Future"☆40Updated 2 years ago
- Learning Certified Control Using Contraction Metric (CoRL 2020)☆30Updated last year
- Code needed to reproduce the examples found in "Learning Control Barrier Functions from Expert Demonstrations," by A. Robey, H. Hu, L. Li…☆56Updated last year
- Implementations of SAILR, PDO, and CSC☆30Updated 3 months ago
- Deep Learning (FS 2020)☆16Updated 2 years ago
- [ICRA 2022] Learning to Navigate Intersections with Unsupervised Driver Trait Inference☆23Updated 2 years ago
- A list of safe reinforcement learning papers☆20Updated 4 years ago
- ☆18Updated 2 years ago
- Implements the algorithm introduced in the paper "Advanced Planning for Autonomous Vehicles using Reinforcement Learning and Deep Inverse…☆33Updated 3 years ago
- [UR 2023] Robust Route Planning with Distributional Reinforcement Learning in a Stochastic Road Network Environment☆17Updated 4 months ago
- PyTorch Official Implementation of CoRL 2023 Paper: Neural Graph Control Barrier Functions Guided Distributed Collision-avoidance Multi-a…☆23Updated 5 months ago
- Code for paper Feasible Actor-Critic: Constrained Reinforcement Learning for Ensuring Statewise Safety.☆16Updated 2 years ago
- Code accompanying the paper "Action Robust Reinforcement Learning and Applications in Continuous Control" https://arxiv.org/abs/1901.0918…☆40Updated 5 years ago
- Official implementation of the paper: Safe Model-Based Reinforcement Learning with an Uncertainty-Aware Reachability Certificate☆17Updated 11 months ago