Reinforcement learning for decentralized planning under uncertainty.
Landon KraemerPublished in: AAMAS (2013)
Keyphrases
- planning under uncertainty
- reinforcement learning
- multi agent
- markov decision processes
- partially observable markov decision processes
- dec pomdps
- decision theoretic
- belief space
- ai planning
- state space
- decision theoretic planning
- probabilistic planning
- robotic tasks
- optimal policy
- finite state
- cooperative
- partially observable
- transfer learning
- dynamic programming
- continuous state
- multi agent systems
- orders of magnitude
- markov decision process
- infinite horizon
- markov chain
- distributed systems
- computational complexity
- machine learning