Reinforcement Learning for Unified Allocation and Patrolling in Signaling Games with Uncertainty.
Aravind VenugopalElizabeth BondiHarshavardhan KamarthiKeval DholakiaBalaraman RavindranMilind TambePublished in: AAMAS (2021)
Keyphrases
- reinforcement learning
- leader follower
- multi agent
- action sets
- learning agents
- partial observability
- multiagent learning
- function approximation
- uncertain data
- temporal difference learning
- optimal allocation
- game theory
- reinforcement learning agents
- computer games
- markov decision processes
- resource allocation
- state space
- reinforcement learning algorithms
- realistic settings
- formation control
- stochastic games
- nash equilibria
- single agent
- temporal difference
- decision theory
- game playing
- incomplete information
- model free
- belief functions
- combinatorial auctions
- game play
- nash equilibrium
- video games
- multi agent systems