chauvinSimon / Reinforcement-Learning-for-Decision-Making-in-self-driving-carsLinks
Reinforcement-Learning-for-Decision-Making-in-self-driving-cars
☆109Updated 7 years ago
Alternatives and similar repositories for Reinforcement-Learning-for-Decision-Making-in-self-driving-cars
Users that are interested in Reinforcement-Learning-for-Decision-Making-in-self-driving-cars are comparing it to the libraries listed below
Sorting:
- Rich literature review and discussion on the implementation of "Hierarchical Decision-Making for Autonomous Driving"☆58Updated 7 years ago
- A PyTorch-based deep inverse reinforcement learning pipeline for vehicle motion forecasting☆83Updated 6 years ago
- This is the code base for our paper "B-GAP: Behavior-Rich Simulation and Navigation for Autonomous Driving", which was published at RA-L …☆41Updated last year
- ☆65Updated 2 years ago
- POMDP formulation of a pedestrian avoidance problem for autonomous driving☆47Updated 5 years ago
- ☆206Updated 4 years ago
- My 10 takeaways from the 2019 Intelligent Vehicle Symposium☆60Updated 6 years ago
- A tensorflow implemention of ECCV2018 Paper：CIRL: Controllable Imitative Reinforcement Learning for Vision-based Self-driving☆81Updated 6 years ago
- ☆47Updated 2 years ago
- A pytorch implementation to train the conditional imitation learning policy in "Visual-based Autonomous Driving Deployment from a Stochas…☆70Updated 6 years ago
- The autonomous driving related publications of our lab.☆63Updated 2 years ago
- ☆49Updated 4 years ago
- High-speed Autonomous Drifting with Deep Reinforcement Learning☆131Updated 4 years ago
- This project implements a functional motion planning stack for autonomous vehicles to avoid both static and dynamic obstacles while track…☆52Updated 6 years ago
- We propose a driver modeling process and its evaluation results of an intelligent autonomous driving policy, which is obtained through re…☆26Updated 7 years ago
- Learning human driver models from NGSIM data with imitation learning.☆182Updated 5 years ago
- This is a tensorflow implementation of "Characterizing Driving Styles with Deep Learning".☆27Updated 4 years ago
- Decision Making in Dense Traffic using Deep Q-Learning☆24Updated 4 years ago
- This is an C++ implementation of lane change decision making in simulated autonomous driving, path planning and markov decision process a…☆94Updated 7 years ago
- Implements the algorithm introduced in the paper "Advanced Planning for Autonomous Vehicles using Reinforcement Learning and Deep Inverse…☆36Updated 4 years ago
- Reinforcement Learning Agents Trained in the CARLA Simulator☆131Updated 5 years ago
- Implement Motion Planning for autonomous car on CARLA simulator☆160Updated 5 years ago
- Model Predictive Controller tested on Carla simulator on Race track with reference velocity.☆54Updated 5 years ago
- Implement an MPC approach to coordinate multiple automated vehicles with fixed priorities at an unsignalized intersection☆27Updated 6 years ago
- The repo develops a general and extensible RL environment for large-scale autonomous driving tasks.☆49Updated 3 years ago
- The code has been implemented in Carla Simulator with the help of Double DQN to train an agent how to drive autonomously using different …☆16Updated 6 years ago
- Official Repository for "Interpretable Goal-based Prediction and Planning for Autonomous Driving" (ICRA 2021)☆88Updated 4 months ago
- This is our attempt at replicating the results of the famous ICRA 2015 paper on Intention aware Online POMDP planning for autonomous syst…☆16Updated 5 years ago
- Implementation of Reinforcement Learning Agent using Deep Deterministic Policy Gradient Algorithm for Parking Vehicle in Carla simulator☆24Updated 3 years ago
- Implement an MPC approach to coordinate automated vehicles with fixed priorities☆18Updated 6 years ago