Constrained Multiagent Markov Decision Processes: a Taxonomy of Problems and Algorithms.
Frits de NijsErwin WalravenMathijs Michiel de WeerdtMatthijs T. J. SpaanPublished in: J. Artif. Intell. Res. (2021)
Keyphrases
- markov decision processes
- stochastic shortest path
- planning under uncertainty
- partially observable markov decision processes
- multi agent
- policy iteration
- factored mdps
- dynamic programming
- state space
- optimal policy
- decision processes
- finite state
- continuous state spaces
- stochastic games
- decentralized control
- reinforcement learning
- average reward
- approximate solutions
- decision theoretic
- multiagent systems
- computational complexity
- learning algorithm
- machine learning
- decision problems
- probabilistic planning
- policy evaluation
- optimal solution
- reachability analysis
- transition matrices