PedroCastro / DriveML
A safe and efficient autonomous driving algorithm. Winner of the 2019 DriveML Huawei Autonomous Vehicles Challenge. Built using RLLib and SUMO.
☆17Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for DriveML
- Generative adversarial imitation learning on NGSIM I-80 Dataset.☆13Updated last year
- Code and figures for bottlenecks paper☆22Updated last year
- Agents code for Multi-Agent Connected Autonomous Driving (MACAD) described in the paper presented in the Machine Learning for Autonomous …☆25Updated 3 years ago
- A simple highway traffic simulation for self-driving car agents in occupancy grid world☆15Updated 5 years ago
- Safe adversarial inverse reinforcement learning/imitation learning in the paper "Safety-Aware Adversarial Inverse Reinforcement Learning …☆15Updated 2 years ago
- [Neurocomputing, 2023] Personalized Robotic Control via Constrained Multi-Objective Reinforcement Learning☆19Updated 11 months ago
- [ICRA 2022] Learning to Navigate Intersections with Unsupervised Driver Trait Inference☆24Updated 2 years ago
- ☆13Updated 2 years ago
- ☆12Updated last year
- Multi-agent version of highway_env simulator☆19Updated 4 years ago
- [CoRL 2021] Official implementation of paper "Safe Driving via Expert Guided Policy Optimization".☆39Updated 7 months ago
- MPG is originated from the paper "Mixed policy gradient", which also contains a cluster of high-quality implementations of deep reinforce…☆19Updated 2 years ago
- [ITSC 2021] Reinforcement Learning for Mixed Autonomy Intersections☆21Updated last year
- Imitation Learning with the INTERACTION Dataset☆28Updated 7 months ago
- Code for the paper: "MIDAS: Multi-agent Interaction-aware Decision-making with Adaptive Strategies for Urban Autonomous Navigation"☆16Updated 3 years ago
- The source code for our paper: Graph Reinforcement Learning Application to Co-operative Decision-Making in Mixed Autonomy Traffic: Framew…☆58Updated 9 months ago
- Social Attention for Autonomous Decision-Making in Dense Traffic☆21Updated 3 years ago
- Code for paper Feasible Actor-Critic: Constrained Reinforcement Learning for Ensuring Statewise Safety.☆16Updated 2 years ago
- Safe Multi-Agent Reinforcement Learning to Make decisions in Autonomous Driving.☆34Updated last month
- Code for L4DC 2022 paper: Joint Synthesis of Safety Certificate and Safe Control Policy Using Constrained Reinforcement Learning.☆14Updated last year
- Benchmark result of different RL algorithms on MetaDrive environments, including Multi-agent RL (IPPO, centralized critics, CoPO).☆13Updated 2 years ago
- Applying Imitation Learning and Reinforcement Learning in Pedestrain Interaction for Autonomous Vehicles && Simulated with CARLA☆12Updated last year
- An autonomous driving agent with a Safety model and the ATtention mechanism in a multi-task framework.☆12Updated last year
- This is the code base for our paper "B-GAP: Behavior-Rich Simulation and Navigation for Autonomous Driving", which was published at RA-L …☆36Updated last year
- Code accompanying the paper "Action Robust Reinforcement Learning and Applications in Continuous Control" https://arxiv.org/abs/1901.0918…☆41Updated 5 years ago
- ☆15Updated 5 years ago
- this is the repository of the code used for RAIM project☆11Updated 5 months ago
- Cooperative Multi-goal Multi-stage Multi-agent Reinforcement Learning☆55Updated 2 years ago