Implicatures and Nested Beliefs in Approximate Decentralized-POMDPs.
Adam VogelChristopher PottsDan JurafskyPublished in: ACL (2) (2013)
Keyphrases
- distributed constraint optimization
- point based value iteration
- dec pomdps
- multi agent
- belief revision
- reinforcement learning
- cooperative
- dynamic programming
- approximate solutions
- partially observable markov decision processes
- belief state
- peer to peer
- sufficient conditions
- markov decision processes
- infinite horizon
- efficient computation
- exact solution
- learning algorithm
- linear programming
- lower bound
- decision making