Exposure-Based Multi-Agent Inspection of a Tumbling Target Using Deep Reinforcement Learning.
Joshua AurandSteven CutlipHenry LeiKendra LangSean PhillipsPublished in: CoRR (2023)
Keyphrases
- reinforcement learning
- multi agent
- machine learning
- learning agents
- model free
- intelligent agents
- cooperative
- multi agent environments
- state space
- dynamic programming
- optimal policy
- markov decision processes
- reinforcement learning agents
- quality control
- reinforcement learning algorithms
- temporal difference
- action selection
- heterogeneous agents
- previously learned
- partially observable
- traffic signal control
- autonomous agents
- learning algorithm
- multiple agents
- target detection
- learning classifier systems
- target tracking
- coalition formation
- agent oriented
- partially observable markov decision processes
- machine vision
- agent behavior
- software agents
- multi agent reinforcement learning
- multi agent systems
- neural network