Markov Decision Processes with Multiple Long-run Average Objectives

Markov Decision Processes with Multiple Long-run Average Objectives

We study Markov decision processes (MDPs) with multiple limit-average (or mean-payoff) functions. We consider two different objectives, namely, expectation and satisfaction objectives. Given an MDP with k limit-average functions, in the expectation objective the goal is to maximize the expected limi...

Bibliográfalaš dieđut
Váldodahkkit:	Brázdil, T, Brožek, V, Chatterjee, K, Forejt, V, Kučera, A
Materiálatiipa:	Conference item
Almmustuhtton:	IEEE 2011

Geahča maid

Reachability in recursive Markov decision processes.
Dahkki: Brázdil, T, et al.
Almmustuhtton: (2008)

Trading Performance for Stability in Markov Decision Processes
Dahkki: Brázdil, T, et al.
Almmustuhtton: (2013)

Trading performance for stability in Markov decision processes
Dahkki: Brazdil, T, et al.
Almmustuhtton: (2016)

Controller Synthesis and Verification for Markov Decision Processes with Qualitative Branching Time Objectives.
Dahkki: Brázdil, T, et al.
Almmustuhtton: (2008)

Control of Markov chains with long-run average cost criterion
Almmustuhtton: (2003)

Branching-Time Model-Checking of Probabilistic Pushdown Automata.
Dahkki: Brázdil, T, et al.
Almmustuhtton: (2009)

The Satisfiability Problem for Probabilistic CTL.
Dahkki: Brázdil, T, et al.
Almmustuhtton: (2008)

Stability in graphs and games
Dahkki: Brázdil, T, et al.
Almmustuhtton: (2016)

Continuous-Time Stochastic Games with Time-Bounded Reachability.
Dahkki: Brázdil, T, et al.
Almmustuhtton: (2009)

MULTI-OBJECTIVE MODEL CHECKING OF MARKOV DECISION PROCESSES
Dahkki: Etessami, K, et al.
Almmustuhtton: (2008)

Multi-objective robust strategy synthesis for Interval Markov decision processes
Dahkki: Hahn, E, et al.
Almmustuhtton: (2017)

Strategy Synthesis for Stochastic Games with Multiple Long−Run Objectives
Dahkki: Basset, N, et al.
Almmustuhtton: (2014)

Bounds for Markov Decision Processes
Dahkki: Desai, Vijay V., et al.
Almmustuhtton: (2019)

On Stochastic Games with Multiple Objectives
Dahkki: Chen, T, et al.
Almmustuhtton: (2013)

Markov decision processes /
Dahkki: 352167 White, D. J.
Almmustuhtton: (1993)

The complexity of Markov decision processes
Almmustuhtton: (2003)

Distributed Averaging Via Lifted Markov Chains
Dahkki: Jung, Kyomin, et al.
Almmustuhtton: (2012)

Markov abstractions for PAC reinforcement learning in non-Markov decision processes
Dahkki: Ronca, A, et al.
Almmustuhtton: (2022)

Comparing labelled Markov decision processes
Dahkki: Kiefer, S, et al.
Almmustuhtton: (2020)

Communicating via Markov decision processes
Dahkki: Sokota, S, et al.
Almmustuhtton: (2022)

Hazard Avoidance Alerting With Markov Decision Processes
Dahkki: Winder, Lee F., et al.
Almmustuhtton: (2007)

Hierarchical Solution of Large Markov Decision Processes
Dahkki: Barry, Jennifer, et al.
Almmustuhtton: (2011)

Tensor decomposition and parallelization of Markov Decision Processes
Dahkki: Smart, David P. (David Paul)
Almmustuhtton: (2016)

Simulation-based optimization of Markov decision processes
Dahkki: Marbach, Peter, 1966-
Almmustuhtton: (2005)

Hazard avoidance alerting with Markov decision processes
Dahkki: Winder, Lee F. (Lee Francis), 1973-
Almmustuhtton: (2005)

Mean-Variance Optimization in Markov Decision Processes
Dahkki: Mannor, Shie, et al.
Almmustuhtton: (2013)

Quantum partially observable Markov decision processes
Dahkki: Barry, Jennifer, et al.
Almmustuhtton: (2014)

Trace refinement in labelled Markov decision processes
Dahkki: Fijalkow, N, et al.
Almmustuhtton: (2020)

Trace refinement in labelled Markov decision processes
Dahkki: Fijalkow, N, et al.
Almmustuhtton: (2015)

Trace refinement in labelled Markov decision processes
Dahkki: Fijalkow, N, et al.
Almmustuhtton: (2015)

Robust anytime learning of Markov decision processes
Dahkki: Suilen, M, et al.
Almmustuhtton: (2023)

Simulation-based algorithms for Markov decision processes /
Dahkki: Chang, Hyeong Soo
Almmustuhtton: (2007)

Online Reinforcement Learning in Factored Markov Decision Processes and Unknown Markov Games
Dahkki: Tian, Yi
Almmustuhtton: (2022)

Approximate solution methods for partially observable Markov and semi-Markov decision processes
Dahkki: Yu, Huizhen, Ph. D. Massachusetts Institute of Technology
Almmustuhtton: (2007)

The long run effects of international investment decisions on shareholders' wealth.
Dahkki: Yeong Chee Wai, Nah Teck Loo, Teo Kok Keng
Almmustuhtton: (2014)

Learning robust policies for uncertain parametric Markov decision processes
Dahkki: Rickard, L, et al.
Almmustuhtton: (2024)

Inference Strategies for Solving Semi−Markov Decision Processes
Dahkki: Hoffman, M, et al.
Almmustuhtton: (2012)

Markov decision processes : discrete stochastic dynamic programming /
Dahkki: 198736 Puterman, Martin L.
Almmustuhtton: (2005)

Decidability results for multi-objective stochastic games
Dahkki: Brenguier, R, et al.
Almmustuhtton: (2016)

Collision Avoidance for Unmanned Aircraft using Markov Decision Processes
Dahkki: Temizer, Selim, et al.
Almmustuhtton: (2011)