Planning with macro-actions in decentralized POMDPs.
Christopher AmatoGeorge Dimitri KonidarisLeslie Pack KaelblingPublished in: AAMAS (2014)
Keyphrases
- macro actions
- markov decision processes
- reinforcement learning
- state space
- dec pomdps
- markov decision problems
- partially observable
- partially observable markov decision processes
- dynamic programming
- decision theoretic planning
- temporally extended
- predictive model
- distributed constraint optimization
- multi agent
- planning domains
- optimal policy
- function approximation
- finite state
- infinite horizon
- policy iteration
- continuous state
- learning algorithm
- planning under uncertainty
- reinforcement learning algorithms
- long run
- markov chain
- linear programming
- plan library
- domain specific