Partially observable stochastic game-based multi-agent prediction markets.
Janyl JumadinovaPrithviraj DasguptaPublished in: AAMAS (2011)
Keyphrases
- partially observable
- prediction markets
- multi agent
- reinforcement learning
- state space
- decision problems
- markov decision processes
- dynamical systems
- partial observability
- infinite horizon
- markov decision problems
- kernel methods
- multi agent systems
- belief state
- mechanism design
- cooperative game theory
- cooperative
- reward function
- partially observable markov decision processes
- multiagent systems
- machine learning
- software agents
- lower bound
- multiple agents
- autonomous agents
- markov chain
- coalition formation
- single agent
- optimal policy
- generative model
- market prices
- np hard