karanamrahul / Autonomous-Drifting-using-deep-Reinforcement-Learning
A Soft Actor Policy based model free off-policy network to control the steering and throttle of car while drifting at high speeds.
☆9Updated last year
Alternatives and similar repositories for Autonomous-Drifting-using-deep-Reinforcement-Learning:
Users that are interested in Autonomous-Drifting-using-deep-Reinforcement-Learning are comparing it to the libraries listed below
- we combine safe reinforcement learning with MPC to enhance the safety in the on-ramp merging scenario☆25Updated this week
- In this study model predictive control is applied to a vehicle overtaking slower moving vehicles in a one way, two lane road. A risk map …☆13Updated 2 years ago
- The repo develops a general and extensible RL environment for large-scale autonomous driving tasks.☆46Updated 2 years ago
- A driving simulator built specifically for reinforcement learning/imitation learning. The scenario generator is based on highway-env, and…☆34Updated last year
- A hybrid collision avoidance system combining Deep Reinforcement Learning with Model Predictive Control, designed for autonomous vehicles…☆24Updated 8 months ago
- ☆64Updated 2 years ago
- path planning and speed planning are implemented in this project☆16Updated 2 years ago
- Rule-Based Safety-Critical Control Design with Application to Autonomous Lane Change https://arxiv.org/abs/2103.12382☆94Updated 2 years ago
- We propose a driver modeling process of an intelligent autonomous driving policy, which is obtained through Q-learning.☆23Updated 4 years ago
- For the paper "Prediction-Based Reachability for Collision Avoidance in Autonomous Driving"☆20Updated 4 years ago
- Highway-Env Agent using DQN☆19Updated 2 years ago
- Implementation of Nash Q-Learning for Autonomous Vehicle Decision Making☆14Updated 2 years ago
- This repository contains my implementation of Deep Reinforcement Learning using Deep Neural Networks for autonomous vehicle's control and…☆20Updated 3 years ago
- Safe adversarial inverse reinforcement learning/imitation learning in the paper "Safety-Aware Adversarial Inverse Reinforcement Learning …☆17Updated 2 years ago
- A research project that leverages reinforcement learning and game theory in self-driving cars☆15Updated 3 years ago
- Integrating Reinforcement Learning and Model Predictive Control for Enhancing Safety in Automated Vehicle Systems☆10Updated last year
- "Adaptive Cruise Control for a Hybrid Vehicle with Deep Policy Gradients". Final project for ECE 517/414 Reinforcement Learning.☆13Updated 3 years ago
- Reinforcement Learning Agents for Solving HighwayEnv's RaceTrackEnv☆15Updated 7 months ago
- Decision Making in Dense Traffic using Deep Q-Learning☆21Updated 4 years ago
- a learning-based decision-making algorithm for on-ramp merging☆24Updated 11 months ago
- Simulations of vehicle platooning using hybrid model predictive control strategies.☆13Updated 3 months ago
- Code for a multiple cooperative-mpc for multiple vehicles (esp. ambulance)☆16Updated last year
- Thrid-party safety-gym safe exploration environments for autonomous driving. Also environment used for IROS 2021 paper: Model-based Const…☆32Updated 3 years ago
- Improving Safety in Mixed Traffic: A Learning-based Model Predictive Control for Autonomous and Human-Driven Vehicle Platooning☆55Updated last year
- DeeP-LCC for mixed traffic☆34Updated last year
- Implement reinforcement learning algorithms to realize highway decision making of autonomous vehicles☆11Updated last year
- Leading Cruise Control☆19Updated 9 months ago
- An easy-to-use carsim wrapper library to call carsim solver from python scripts.☆13Updated last year
- Motion planning and collision avoidance using MPC and strong duality☆52Updated last year
- Motion Planning for Autonomous Driving using Model Predictive Control based on CommonRoad Framework.☆48Updated 2 years ago