zhexilian / On-ramp-merging-decision-makingLinks
a learning-based decision-making algorithm for on-ramp merging
☆31Updated last year
Alternatives and similar repositories for On-ramp-merging-decision-making
Users that are interested in On-ramp-merging-decision-making are comparing it to the libraries listed below
Sorting:
- Implement reinforcement learning algorithms to realize highway decision making of autonomous vehicles☆12Updated 2 years ago
- Proposed to leverage human driving data to learn a social preference model of human driving using inverse reinforcement learning and then…☆10Updated 2 years ago
- Intelligent lane-changing system for autonomous vehicles leveraging Deep Q-Network (DQN), Double DQN, and Dueling Double DQN models in CA…☆63Updated last year
- High speed autonomous vehicle navigation and lane change in dense traffic scenario using custom SUMO gym Environment and Reinforcement Le…☆34Updated 2 years ago
- Autonomous driving agent in Carla simulator leveraging IL and RL techniques.☆21Updated 9 months ago
- A driving simulator built specifically for reinforcement learning/imitation learning. The scenario generator is based on highway-env, and…☆42Updated 2 years ago
- An Integrated Model for Autonomous Speed and Lane Change Decision-Making Based on Deep Reinforcement Learning☆27Updated last year
- Implementation of Nash Q-Learning for Autonomous Vehicle Decision Making☆16Updated 3 years ago
- [T-IV] Augmenting Reinforcement Learning with Transformer-based Scene Representation Learning for Decision-making of Autonomous Driving☆92Updated last year
- make lane change decisions in highway environment based on DRL☆30Updated 5 years ago
- we combine safe reinforcement learning with MPC to enhance the safety in the on-ramp merging scenario☆43Updated 5 months ago
- Lane-changing decision model based on deep Markov model and Cognitive Hierarchy model☆28Updated last year
- ☆13Updated 4 years ago
- ☆40Updated 4 years ago
- ☆26Updated 2 years ago
- Autonomous Driving using Residual Sensor Fusion and Deep Reinforcement Learning (ICROM, 2023)☆18Updated last year
- The official code for paper "Human as AI Mentor: Enhanced Human-in-the-loop Reinforcement Learning for Safe and Efficient Autonomous Driv…☆43Updated last year
- reinforcement learning based agents for self-driving in CARLA☆72Updated 4 years ago
- A Solution for the Problem of Left-turn Decision-making at Intersections without Traffic Signals☆13Updated 5 months ago
- ☆13Updated 2 years ago
- Lane Changes in a Highway environment using Reinforcement learning in SUMO☆59Updated 7 years ago
- ☆11Updated 3 years ago
- ☆23Updated 3 years ago
- calibrate EIDM model in SUMO using HighD data set☆16Updated 5 months ago
- Deep Multi-Agent Reinforcement Learning for Highway On-Ramp Merging in Mixed Traffic - Topics in Intelligent Systems☆18Updated 10 months ago
- path planning and speed planning are implemented in this project☆20Updated 2 years ago
- (TNNLS) Prioritized Experience-Based Reinforcement Learning with Human Guidance for Autonomous Driving☆62Updated 2 years ago
- Driving style classification of lane change driving maneuvers for the NGSIM higway dataset☆33Updated 2 years ago
- A hybrid collision avoidance system combining Deep Reinforcement Learning with Model Predictive Control, designed for autonomous vehicles…☆46Updated last year
- Highway driving simulator incorporating NGSIM dataset using reinforcement learning☆70Updated 3 years ago