jperod / AI-self-driving-race-car-Deep-Reinforcement-Learning
Solving OpenAI's reinforcement learning CarRacing environment
☆25Updated 3 years ago
Alternatives and similar repositories for AI-self-driving-race-car-Deep-Reinforcement-Learning
Users that are interested in AI-self-driving-race-car-Deep-Reinforcement-Learning are comparing it to the libraries listed below
Sorting:
- Deep reinforcement learning - DDPG algorithm with self driving car in Torcs☆21Updated 2 years ago
- ☆10Updated 5 years ago
- Combining Reinforcement Learning with Model Predictive Control for On-Ramp Merging☆132Updated last year
- A simple gym environment wrapping Carla, a simulator for autonomous driving research. The environment is designed for developing and comp…☆39Updated 3 years ago
- Reinforcement Learning Agents for Solving HighwayEnv's RaceTrackEnv☆18Updated 11 months ago
- Control strategies used Indy Autonomous Challenge from IUPUI-IITKGP-USB team☆14Updated 2 years ago
- An implementation of an Autonomous Vehicle Agent in CARLA simulator, using TF-Agents☆28Updated last year
- Thrid-party safety-gym safe exploration environments for autonomous driving. Also environment used for IROS 2021 paper: Model-based Const…☆34Updated 3 years ago
- Applying Constrained Policy Networks on Highway Environment☆41Updated 3 years ago
- ☆64Updated 2 years ago
- This repository contains my implementation of Deep Reinforcement Learning using Deep Neural Networks for autonomous vehicle's control and…☆21Updated 3 years ago
- we combine safe reinforcement learning with MPC to enhance the safety in the on-ramp merging scenario☆34Updated 2 months ago
- Multi-agent version of highway_env simulator☆21Updated 4 years ago
- A driving simulator built specifically for reinforcement learning/imitation learning. The scenario generator is based on highway-env, and…☆37Updated 2 years ago
- Multi-agent reinforcement learning interface for CARLA Autonomous Driving simulator compatible with PettingZoo☆48Updated last year
- Application of model predictive control (MPC) on the highway-env simulator. Controller takes into account predicted trajectories for all …☆13Updated last year
- Integrating Deep Reinforcement Learning with Path planning for Automated Driving☆77Updated 2 years ago
- Repository containing the code for safe reinforcement learning in two custom environments☆45Updated last month
- The aim of this repo is to bring ideas and relevant literature relating to Safe-RL in the context of autonomous vehicles.☆48Updated 6 years ago
- Implements the algorithm introduced in the paper "Advanced Planning for Autonomous Vehicles using Reinforcement Learning and Deep Inverse…☆36Updated 4 years ago
- Pytorch version of the MPC in model-based reinforcement learning (MBRL), currently only test in the CartPole-swing-up environment☆86Updated 4 years ago
- ☆21Updated 2 years ago
- 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
- Model Predictive Controller tested on Carla simulator on Race track with reference velocity.☆52Updated 4 years ago
- Highway-Env Agent using DQN☆19Updated 2 years ago
- This project integrates Python and MATLAB to create a simulation environment for vehicle dynamics using Carsim and Simulink. It allows re…☆20Updated 3 months ago
- Code for the paper "Reinforced Curriculum Learning for Autonomous Driving in CARLA" (ICIP 2021)☆123Updated 2 years ago
- ☆31Updated last year
- [IEEE TAI] Safe Multi-Agent Reinforcement Learning to Make decisions in Autonomous Driving.☆55Updated 2 weeks ago
- Reinforcement Learning Practice for Multi and Single-Agent Autonomous vehicle☆13Updated 4 years ago