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:
- Planner for Markov Decision Processes with Temporal Goals☆22Updated 3 years ago
- An environment for an obstacle avoidance task☆35Updated 4 years ago
- [ICRA2020] Path Planning in Dynamic Environments using Generative RNNs and Monte Carlo Tree Search☆30Updated 3 years ago
- Inverse Reinforcement Learning, Inverse Optimal Control, Apprenticeship Learning, Imitation Learning review☆43Updated 4 years ago
- ☆11Updated 4 years ago
- ☆17Updated 3 years ago
- Motion planning environment for Sampling-based Planners☆31Updated last year
- Multi-Robot Collision Avoidance using Reinforcement Learning☆13Updated 7 years ago
- Sampling based Model Predictive Control package for Model-Based RL research☆55Updated 4 years ago
- Python demo for the paper "Pareto Monte Carlo Tree Search for Multi-Objective Informative Planning".☆34Updated 2 years ago
- Learning human-aware robot navigation behavior from demonstrations via Maximum Entropy Inverse Reinforcement Learning.☆44Updated 5 years ago
- Master Thesis - Transfer Learning for Mapless Quadrotor Navigation Using Recurrent Neural Network☆17Updated 4 years ago
- ☆64Updated 6 years ago
- Reactive crowd simulator used in the IROS 2020 paper: "L2B: Learning to Balance the Safety-Efficiency Trade-off in Interactive Crowd-awar…☆23Updated 4 years ago
- Implementation of safety augmented value estimation from demonstrations (SAVED)☆24Updated 6 years ago
- Using ROS to connect Stage simulator with Google DeepMind (DQN) project for Deep Reinforcement Learning in Robotic !☆27Updated 8 years ago
- ☆56Updated 3 years ago
- Robot Controls Course Project☆62Updated 3 years ago
- A toolkit for developing and comparing reinforcement learning algorithms using ROS, Player/Stage and Gazebo.☆24Updated 7 years ago
- Implementation of MPC-PEARL☆13Updated last year
- Tutorials for using DESPOT with ROS☆25Updated 2 years ago
- Socially normative mobile robot navigation☆27Updated 9 years ago
- This repository contains the code for our paper on Dynamic Mirror Descent based MPC for Model-Free RL☆24Updated 3 years ago
- This is a miniature race car gym-env for RL from states (and images)☆27Updated 3 years ago
- Code for CORL'18 paper "Risk-Aware Active Inverse Reinforcement Learning"☆16Updated 6 years ago
- CTRMs: Learning to Construct Cooperative Timed Roadmaps for Multi-agent Path Planning in Continuous Spaces (AAMAS-22)☆37Updated 2 years ago
- Path planning from STL (Signal Temporal Logic) specifications☆55Updated 2 years ago
- Reinforcement Learning framework for Robotics☆89Updated 3 years ago
- Implementation of Deep Q-Network(DQN)and Model Predictive Control, and their evaluation on the Quanser robot platform☆15Updated 5 years ago
- Code for the ICRA2018 paper "Learning with training wheels: Speeding up training with a simple controller for Deep Reinforcement Learning…☆37Updated 6 years ago