Generating strategies for multi-agent pursuit-evasion games in partially observable Euclidean space.
Eric RaboinUgur KuterDana S. NauPublished in: AAMAS (2012)
Keyphrases
- euclidean space
- partially observable
- pursuit evasion
- multi agent
- reinforcement learning
- state space
- dynamical systems
- partial observability
- shape analysis
- vector space
- decision problems
- markov decision processes
- infinite horizon
- metric space
- euclidean distance
- low dimensional
- belief state
- data points
- partially observable markov decision processes
- game theory
- distance measure
- machine learning
- optimal policy
- reward function
- probabilistic model
- dimensional euclidean space