bhushankorpe / Obstacle-dodging-car-using-Q-learningLinks
In this project, the robot car presents a behavioral approach to collision avoidance, where a mobile robot needs to avoid collisions with stationary obstacles and the wall enclosing its environment. The robot uses Reinforcement Learning technique to learn actions corresponding to states in which the robot is. The states are defined based on the …
☆12Updated 8 years ago
Alternatives and similar repositories for Obstacle-dodging-car-using-Q-learning
Users that are interested in Obstacle-dodging-car-using-Q-learning are comparing it to the libraries listed below
Sorting:
- Quadrotor control using deep reinforcement learning☆17Updated 7 years ago
- Multi-Robot Collision Avoidance using Reinforcement Learning☆13Updated 6 years ago
- Learning human-aware robot navigation behavior from demonstrations via Maximum Entropy Inverse Reinforcement Learning.☆42Updated 4 years ago
- Model-based shared control of human-machine systems☆14Updated 6 years ago
- Inverse Reinforcement Learning, Inverse Optimal Control, Apprenticeship Learning, Imitation Learning review☆40Updated 4 years ago
- Master Thesis - Transfer Learning for Mapless Quadrotor Navigation Using Recurrent Neural Network☆17Updated 4 years ago
- An environment for an obstacle avoidance task☆35Updated 3 years ago
- Reinforcement Learning-based Mobile Robot Navigation☆25Updated 7 years ago
- Socially normative mobile robot navigation☆27Updated 9 years ago
- ☆17Updated 3 years ago
- ☆11Updated 4 years ago
- [ICRA2020] Path Planning in Dynamic Environments using Generative RNNs and Monte Carlo Tree Search☆29Updated 2 years ago
- A toolkit for developing and comparing reinforcement learning algorithms using ROS, Player/Stage and Gazebo.☆24Updated 7 years ago
- Implementation of an iterative linear quadratic regular (iLQR) on inverted pendulum, box quadratic programming (box-QP) is used to deal w…☆10Updated 6 years ago
- Thrid-party safety-gym safe exploration environments for autonomous driving. Also environment used for IROS 2021 paper: Model-based Const…☆34Updated 3 years ago
- Implementation of Deep Q-Network（DQN）and Model Predictive Control, and their evaluation on the Quanser robot platform☆15Updated 4 years ago
- ☆33Updated 4 years ago
- Using RL based controller for steering function of RRT. And a network learns to perform motion planning☆34Updated 4 years ago
- This is a library for some of sampling-based motion planning algorithms implemented in MATLAB.☆35Updated 6 years ago
- Simulation of multi-robot path tracking in Gazebo☆19Updated 5 years ago
- Python demo for the paper "Pareto Monte Carlo Tree Search for Multi-Objective Informative Planning".☆31Updated 2 years ago
- Planner for Markov Decision Processes with Temporal Goals☆21Updated 3 years ago
- We use reachability to ensure the safety of a decision agent acting on a dynamic system in real-time. We compute the Forward Reachable Se…☆33Updated 3 years ago
- ZJU Robotics project of differential drive car path planning and trajectory planning based on the Client simulation platform (my freshman…☆10Updated 4 years ago
- Path planning policy learned by behavior cloning, from RRT to neural network☆30Updated 6 years ago
- ☆12Updated 6 years ago
- Implementation of paper "Decentralized Non-communicating Multiagent Collision Avoidance with Deep Reinforcement Learning". NO LONGER MAIN…☆92Updated 6 years ago
- RL Navigation for Mantis and Turtlebot3☆22Updated 4 years ago
- Setting up DDPG based reinforcement learning in ROS Gazebo environment☆14Updated 5 years ago
- ☆28Updated 4 years ago