Deep Multi-Agent Reinforcement Learning for Decentralized Active Hypothesis Testing.
Hadar SzostakKobi CohenPublished in: CoRR (2023)
Keyphrases
- hypothesis testing
- multi agent reinforcement learning
- multi agent
- likelihood ratio
- cooperative
- learning agents
- multi agent learning
- multi agent systems
- stochastic games
- statistical tests
- test statistic
- reinforcement learning
- confidence intervals
- artificial intelligence
- dynamic programming
- statistically significant
- learning styles
- dynamic environments
- least squares
- state space
- lower bound
- data mining