Multi-Agent Active Perception Based on Reinforcement Learning and POMDP.
Tarik SelimovicMarijana PetiStjepan BogdanPublished in: IEEE Access (2024)
Keyphrases
- reinforcement learning
- multi agent
- function approximation
- partially observable markov decision processes
- state space
- model free
- continuous state
- hidden state
- partially observable
- optimal policy
- machine learning
- partially observable markov decision process
- learning algorithm
- markov decision processes
- single agent
- reinforcement learning algorithms
- temporal difference
- multiple agents
- cooperative
- reward function
- markov decision process
- partial observability
- multiagent systems
- multi agent systems
- model free reinforcement learning
- human perception
- learning agents
- granular computing
- action selection
- autonomous agents
- reinforcement learning methods
- control policies