wenqing-2021 / On_Ramp_Merge_Safe_RLLinks
we combine safe reinforcement learning with MPC to enhance the safety in the on-ramp merging scenario
☆36Updated 3 weeks ago
Alternatives and similar repositories for On_Ramp_Merge_Safe_RL
Users that are interested in On_Ramp_Merge_Safe_RL are comparing it to the libraries listed below
Sorting:
- a learning-based decision-making algorithm for on-ramp merging☆27Updated last year
- Combining Reinforcement Learning with Model Predictive Control for On-Ramp Merging☆134Updated last year
- A driving simulator built specifically for reinforcement learning/imitation learning. The scenario generator is based on highway-env, and…☆37Updated 2 years ago
- Highway-Env Agent using DQN☆19Updated 3 years ago
- Intelligent lane-changing system for autonomous vehicles leveraging Deep Q-Network (DQN), Double DQN, and Dueling Double DQN models in CA…☆59Updated last year
- Implement reinforcement learning algorithms to realize highway decision making of autonomous vehicles☆11Updated 2 years ago
- Highway driving simulator incorporating NGSIM dataset using reinforcement learning☆68Updated 3 years ago
- ☆25Updated 2 years ago
- Implementation of Nash Q-Learning for Autonomous Vehicle Decision Making☆14Updated 2 years ago
- applying multi-agent reinforcement learning for highway-merging autonomous vehicles☆54Updated last year
- make lane change decisions in highway environment based on DRL☆27Updated 5 years ago
- This project is developing a hybrid DRL-MPC model for motion planning of AVs at unsignalized intersection. The work is based on the Highw…☆13Updated 9 months ago
- Lane Changes in a Highway environment using Reinforcement learning in SUMO☆55Updated 6 years ago
- Applying Constrained Policy Networks on Highway Environment☆41Updated 3 years ago
- Proposed to leverage human driving data to learn a social preference model of human driving using inverse reinforcement learning and then…☆8Updated 2 years ago
- The repo develops a general and extensible RL environment for large-scale autonomous driving tasks.☆48Updated 3 years ago
- A hybrid collision avoidance system combining Deep Reinforcement Learning with Model Predictive Control, designed for autonomous vehicles…☆38Updated last year
- The autonomous driving related publications of our lab.☆9Updated 3 years ago
- Decision Making in Dense Traffic using Deep Q-Learning☆22Updated 4 years ago
- ☆11Updated 3 years ago
- Multi-Agent Reinforcement Learning for Connected and Automated Vehicles Control: Recent Advancements and Future Prospects☆41Updated 3 months ago
- High speed autonomous vehicle navigation and lane change in dense traffic scenario using custom SUMO gym Environment and Reinforcement Le…☆29Updated 2 years ago
- Autonomous Driving W/ Deep Reinforcement Learning in Lane Keeping - DDQN and SAC with kinematics/birdview-images☆11Updated 10 months ago
- An Integrated Model for Autonomous Speed and Lane Change Decision-Making Based on Deep Reinforcement Learning☆23Updated last year
- [IEEE TAI] Safe Multi-Agent Reinforcement Learning to Make decisions in Autonomous Driving.☆57Updated last month
- path planning and speed planning are implemented in this project☆19Updated 2 years ago
- High speed autonomous vehicle navigation and lane change in dense traffic scenario using custom SUMO gym Environment and Reinforcement Le…☆2Updated last month
- The official code for paper "Human as AI Mentor: Enhanced Human-in-the-loop Reinforcement Learning for Safe and Efficient Autonomous Driv…☆37Updated last year
- Reinforcement Learning Practice for Multi and Single-Agent Autonomous vehicle☆13Updated 4 years ago
- Autonomous driving agent in Carla simulator leveraging IL and RL techniques.☆17Updated 5 months ago