Thompson Sampling for Factored Multi-Agent Bandits.
Timothy VerstraetenEugenio BargiacchiPieter J. K. LibinDiederik M. RoijersAnn NowéPublished in: AAMAS (2020)
Keyphrases
- multi agent
- multi armed bandit
- cooperative
- multi agent systems
- cognitive agents
- intelligent agents
- monte carlo
- random sampling
- reinforcement learning
- parameter space
- sampling strategies
- genetic algorithm
- sample size
- multi agent architecture
- sampling strategy
- stochastic systems
- multi armed bandits
- sampling methods
- multiple agents
- coalition formation
- learning algorithm
- sampling algorithm
- sampling rate
- software agents
- autonomous agents
- multiagent systems
- markov chain
- probabilistic model
- active learning
- american football