LoheshM / Comparative-Analysis-of-Reinforcement-Learning-Models-for-Lane-Change-Decision-MakingLinks
Intelligent lane-changing system for autonomous vehicles leveraging Deep Q-Network (DQN), Double DQN, and Dueling Double DQN models in CARLA simulator. Enhances safety and efficiency through informed decision-making in dynamic traffic scenarios.
☆63Updated last year
Alternatives and similar repositories for Comparative-Analysis-of-Reinforcement-Learning-Models-for-Lane-Change-Decision-Making
Users that are interested in Comparative-Analysis-of-Reinforcement-Learning-Models-for-Lane-Change-Decision-Making are comparing it to the libraries listed below
Sorting:
- An Integrated Model for Autonomous Speed and Lane Change Decision-Making Based on Deep Reinforcement Learning☆27Updated 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
- ☆13Updated 4 years ago
- make lane change decisions in highway environment based on DRL☆30Updated 5 years ago
- a learning-based decision-making algorithm for on-ramp merging☆31Updated last year
- This file contains code used for a full end-to-end framework for Autonomous Vehicle's lane change using Hierarchical Reinforcement Learni…☆129Updated 3 years ago
- Lane Changes in a Highway environment using Reinforcement learning in SUMO☆59Updated 7 years ago
- reinforcement learning based agents for self-driving in CARLA☆72Updated 4 years ago
- Autonomous driving agent in Carla simulator leveraging IL and RL techniques.☆21Updated 9 months ago
- ☆11Updated 3 years ago
- ☆26Updated 2 years ago
- Implementation of a reinforcement learning agent able to do autonomous changing lane using Sumo☆85Updated 2 years ago
- Lane-changing decision model based on deep Markov model and Cognitive Hierarchy model☆28Updated last year
- A driving simulator built specifically for reinforcement learning/imitation learning. The scenario generator is based on highway-env, and…☆42Updated 2 years ago
- Master's thesis about Deep Reinforcement Learning for Decision Making in autonomous driving☆29Updated 6 years ago
- Implement reinforcement learning algorithms to realize highway decision making of autonomous vehicles☆12Updated 2 years ago
- applying multi-agent reinforcement learning for highway-merging autonomous vehicles☆63Updated last year
- Lane Changer Agent DQN☆47Updated 3 years ago
- we combine safe reinforcement learning with MPC to enhance the safety in the on-ramp merging scenario☆43Updated 5 months ago
- Applying Constrained Policy Networks on Highway Environment☆44Updated 3 years ago
- Highway driving simulator incorporating NGSIM dataset using reinforcement learning☆70Updated 3 years ago
- Implementation of Nash Q-Learning for Autonomous Vehicle Decision Making☆16Updated 3 years ago
- Deep Reinforcement Learning based Decision-Making in Autonomous Driving Tasks☆18Updated 11 months ago
- Deep Multi-Agent Reinforcement Learning for Highway On-Ramp Merging in Mixed Traffic - Topics in Intelligent Systems☆18Updated 10 months ago
- (TNNLS) Prioritized Experience-Based Reinforcement Learning with Human Guidance for Autonomous Driving☆62Updated 2 years ago
- ☆23Updated 3 years ago
- Combining Reinforcement Learning with Model Predictive Control for On-Ramp Merging☆141Updated last year
- ☆40Updated 4 years ago
- Source code for paper "Safe, Efficient, and Comfortable Velocity Control based on Reinforcement Learning for Autonomous Driving"☆117Updated 2 years ago
- Highway-Env Agent using DQN☆19Updated 3 years ago