Sanjulavj / Multi-behavior-Learning-for-Socially-Compatible-Autonomous-DrivingLinks
Proposed to leverage human driving data to learn a social preference model of human driving using inverse reinforcement learning and then integrated it with reinforcement learning-based Autonomous Vehicles policy synthesis using Social Value Orientation (SVO) theory to learn diverse levels of socially compatible driving.
☆9Updated 2 years ago
Alternatives and similar repositories for Multi-behavior-Learning-for-Socially-Compatible-Autonomous-Driving
Users that are interested in Multi-behavior-Learning-for-Socially-Compatible-Autonomous-Driving are comparing it to the libraries listed below
Sorting:
- a learning-based decision-making algorithm for on-ramp merging☆27Updated last year
- Implement reinforcement learning algorithms to realize highway decision making of autonomous vehicles☆12Updated 2 years ago
- A driving simulator built specifically for reinforcement learning/imitation learning. The scenario generator is based on highway-env, and…☆38Updated 2 years ago
- The official code for paper "Human as AI Mentor: Enhanced Human-in-the-loop Reinforcement Learning for Safe and Efficient Autonomous Driv…☆41Updated last year
- [T-IV] Augmenting Reinforcement Learning with Transformer-based Scene Representation Learning for Decision-making of Autonomous Driving☆90Updated last year
- Autonomous driving agent in Carla simulator leveraging IL and RL techniques.☆18Updated 7 months ago
- ☆13Updated 2 years ago
- Implementation of Nash Q-Learning for Autonomous Vehicle Decision Making☆14Updated 2 years ago
- ☆31Updated 4 months ago
- (TNNLS) Prioritized Experience-Based Reinforcement Learning with Human Guidance for Autonomous Driving☆62Updated 2 years ago
- [T-ITS'24] A safety-aware human-in-the-loop Reinforcment Learning (SafeHiL-RL) approach for end-to-end autonomous driving.☆41Updated 10 months ago
- Official codes for paper: Autonomous Driving Scenario Generation via Reversely Regularized Hybrid Offline-and-Online Reinforcement Learni…☆25Updated last year
- Intelligent lane-changing system for autonomous vehicles leveraging Deep Q-Network (DQN), Double DQN, and Dueling Double DQN models in CA…☆60Updated last year
- we combine safe reinforcement learning with MPC to enhance the safety in the on-ramp merging scenario☆39Updated 2 months ago
- ☆39Updated 3 years ago
- ☆48Updated 4 years ago
- Autonomous Driving using Residual Sensor Fusion and Deep Reinforcement Learning (ICROM, 2023)☆18Updated last year
- reinforcement learning based agents for self-driving in CARLA☆72Updated 4 years ago
- path planning and speed planning are implemented in this project☆19Updated 2 years ago
- A simple gym environment wrapping Carla, a simulator for autonomous driving research. The environment is designed for developing and comp…☆41Updated 3 years ago
- An autonomous driving agent with a Safety model and the ATtention mechanism in a multi-task framework.☆13Updated 2 years ago
- This project implements a reinforcement learning (RL) agent integrated with a Model Predictive Controller (MPC) for autonomous lane chang…☆25Updated 6 months ago
- A hybrid collision avoidance system combining Deep Reinforcement Learning with Model Predictive Control, designed for autonomous vehicles…☆39Updated last year
- In this study model predictive control is applied to a vehicle overtaking slower moving vehicles in a one way, two lane road. A risk map …☆13Updated 3 years ago
- The autonomous driving related publications of our lab.☆9Updated 3 years ago
- High speed autonomous vehicle navigation and lane change in dense traffic scenario using custom SUMO gym Environment and Reinforcement Le…☆31Updated 2 years ago
- [AAAI 2022] CADRE: A Cascade Deep Reinforcement Learning Framework for Vision-based Autonomous Urban Driving☆29Updated last year
- ☆16Updated 2 years ago
- ☆26Updated 2 years ago
- Highway driving simulator incorporating NGSIM dataset using reinforcement learning☆69Updated 3 years ago