ARiADNE: A Reinforcement learning approach using Attention-based Deep Networks for Exploration.
Yuhong CaoTianxiang HouYizhuo WangXian YiGuillaume SartorettiPublished in: CoRR (2023)
Keyphrases
- reinforcement learning
- active exploration
- action selection
- social networks
- exploration strategy
- function approximation
- autonomous learning
- multi agent
- state space
- exploration exploitation
- model free
- cellular networks
- learning algorithm
- focus of attention
- optimal policy
- heterogeneous networks
- temporal difference
- genetic algorithm
- network topologies
- network size
- network design
- multi agent reinforcement learning
- information transfer
- learning classifier systems
- complex networks