tangmhmhmh / Adaptive-Cruise-Control-based-on-H-DQN-and-Inverse-RL
基于分层强化学习和逆向强化学习的自适应巡航算法
☆22Updated 4 years ago
Related projects: ⓘ
- Multi-Agent Reinforcement Learning for Connected and Automated Vehicles Control: Recent Advancements and Future Prospects☆26Updated 8 months ago
- A reinforcement learning based behaviour planner for autonomous driving agents☆14Updated 3 years ago
- Game Theory Course Project☆8Updated 5 years ago
- ☆12Updated 2 years ago
- Communication-efficient MARL for CACC☆14Updated last year
- ☆55Updated 2 years ago
- Distributed Collaboration of Connected Autonomous Vehicles at Unsignalized Intersections using Parallel Monte Carlo Tree Search☆10Updated 2 years ago
- A study code for HEVs eco-driving control☆20Updated last year
- applying multi-agent reinforcement learning for highway-merging autonomous vehicles☆40Updated 9 months ago
- TorchGRL is the source code for our paper Graph Convolution-Based Deep Reinforcement Learning for Multi-Agent Decision-Making in Mixed…☆78Updated last year
- Safe Multi-Agent Reinforcement Learning to Make decisions in Autonomous Driving.☆25Updated 3 months ago
- a DRL-based vehicle scheduling algorithm☆18Updated last year
- code of paper 《Independent Reinforcement Learning for Weakly Cooperative Multiagent Traffic Control Problem》☆15Updated 3 years ago
- DevrajdasAdhikary / -Reinforcement-Learning-Based-Path-Following-Control-for-a-Vehicle-with-Variable-Delay-in-Drive-TraiImplement an RL -based path following controller using DDPG algorithm and apply it on the given vehicle model in the paper “Reinforcement…☆14Updated 2 years ago
- Code for the paper @article{ author={Armijos, A. S. C. and Li, A. and Cassandras, C. G.}, title={Maximizing Safety and Efficiency for Coo…☆15Updated 6 months ago
- Combining Reinforcement Learning with Model Predictive Control for On-Ramp Merging☆106Updated 4 months ago
- CACC using a reiforcement learning approach☆9Updated 2 years ago
- Implementation of Nash Q-Learning for Autonomous Vehicle Decision Making☆11Updated 2 years ago
- A research project that leverages reinforcement learning and game theory in self-driving cars☆15Updated 3 years ago
- Deep reinforcement learning☆27Updated 2 years ago
- Use Multi-Agent Deep Deterministic Policy Gradient(DDPG) algorithm to find reasonable paths for ships☆26Updated last year
- Highway driving simulator incorporating NGSIM dataset using reinforcement learning☆48Updated 2 years ago
- Applying Constrained Policy Networks on Highway Environment☆32Updated 2 years ago
- Highway-Env Agent using DQN☆16Updated 2 years ago
- This is our Final Year Project in Bachelors. We try to avoid congestion on two levels i.e Intersection level and Infrastructure to Vehicl…☆9Updated 3 years ago
- Cooperative Energy Management and Eco-driving of Plug-in Hybrid Electric Vehicle via Multi-agent Reinforcement Learning☆19Updated 2 years ago
- We propose a driver modeling process of an intelligent autonomous driving policy, which is obtained through Q-learning.☆22Updated 4 years ago
- Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space☆29Updated 2 years ago
- PyTorch implementation of Constrained Reinforcement Learning for Soft Actor Critic Algorithm☆30Updated 2 years ago
- Using RL-controlled vehicles as traffic regulator to reduce the travel time of emergency vehicles near intersections☆11Updated 2 years ago