BlueCat-de / SDM
Official codes for paper: Stackelberg Driver Model for Continual Policy Improvement in Scenario-Based Closed-Loop Autonomous Driving
☆30Updated last year
Alternatives and similar repositories for SDM:
Users that are interested in SDM are comparing it to the libraries listed below
- Proposed to leverage human driving data to learn a social preference model of human driving using inverse reinforcement learning and then…☆8Updated last year
- [ICRA 2024] Official codes for paper: Continual Driving Policy Optimization with Closed-Loop Individualized Curricula.☆19Updated 3 months ago
- Official codes for paper: Autonomous Driving Scenario Generation via Reversely Regularized Hybrid Offline-and-Online Reinforcement Learni…☆19Updated last year
- (TNNLS) Prioritized Experience-Based Reinforcement Learning with Human Guidance for Autonomous Driving☆58Updated last year
- (TPAMI) Human-guided Reinforcement Learning with Sim-to-real Transfer for Autonomous Navigation☆23Updated last year
- A driving simulator built specifically for reinforcement learning/imitation learning. The scenario generator is based on highway-env, and…☆34Updated last year
- Applying Imitation Learning and Reinforcement Learning in Pedestrain Interaction for Autonomous Vehicles && Simulated with CARLA☆13Updated 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…☆29Updated 11 months ago
- An autonomous driving agent with a Safety model and the ATtention mechanism in a multi-task framework.☆14Updated 2 years ago
- a learning-based decision-making algorithm for on-ramp merging☆25Updated last year
- [T-IV] Augmenting Reinforcement Learning with Transformer-based Scene Representation Learning for Decision-making of Autonomous Driving☆79Updated 8 months ago
- ☆47Updated 3 years ago
- Highway-Env Agent using DQN☆19Updated 2 years ago
- Implementation of Nash Q-Learning for Autonomous Vehicle Decision Making☆14Updated 2 years ago
- The repo develops a general and extensible RL environment for large-scale autonomous driving tasks.☆47Updated 2 years ago
- Deep Reinforcement Learning in CARLA simulator☆12Updated 11 months ago
- ☆34Updated 3 years ago
- Safe Multi-Agent Reinforcement Learning to Make decisions in Autonomous Driving.☆45Updated 4 months ago
- Implement reinforcement learning algorithms to realize highway decision making of autonomous vehicles☆11Updated last year
- path planning and speed planning are implemented in this project☆16Updated 2 years ago
- Code repository for "Continuous Improvement of Self-Driving Cars using Dynamic Confidence-Aware Reinforcement Learning"☆63Updated 2 years ago
- This is the source code for the research paper 'Safety-critical Decision-making and Control for Autonomous Vehicles with Highest Priority…☆17Updated 2 months ago
- [Implementation of PNAS 2019] Predict SVO by Given Trajectories☆18Updated 2 years ago
- ☆11Updated last year
- MotionPlanner☆13Updated last year
- Multi-agent version of highway_env simulator☆20Updated 4 years ago
- A simple gym environment wrapping Carla, a simulator for autonomous driving research. The environment is designed for developing and comp…☆38Updated 3 years ago
- The autonomous driving related publications of our lab.☆9Updated 3 years ago
- The official code for paper "Trustworthy Human-AI Collaboration: Reinforcement Learning with Human Feedback and Physics Knowledge for Saf…☆22Updated 5 months ago
- A hybrid collision avoidance system combining Deep Reinforcement Learning with Model Predictive Control, designed for autonomous vehicles…☆26Updated 9 months ago