Deep Reinforcement Learning-based Large-scale Robot Exploration.
Yuhong CaoRui ZhaoYizhuo WangBairan XiangGuillaume SartorettiPublished in: CoRR (2024)
Keyphrases
- human users
- reinforcement learning
- human robot
- exploration strategy
- active exploration
- action selection
- function approximation
- autonomous learning
- model based reinforcement learning
- small scale
- mobile robot
- exploration exploitation
- temporal difference
- real robot
- model free
- reinforcement learning algorithms
- markov decision processes
- learning algorithm
- unknown environments
- action space
- neural network
- real world
- perceptual aliasing
- machine learning
- multi agent
- robot soccer
- robot control
- robot navigation
- state space
- vision system