Pages that link to "Item:Q5322137"
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The following pages link to Robust Control of Markov Decision Processes with Uncertain Transition Matrices (Q5322137):
Displaying 50 items.
- Robust optimization in countably infinite linear programs (Q276340) (← links)
- Robust decomposable Markov decision processes motivated by allocating school budgets (Q297098) (← links)
- Quantitative verification and strategy synthesis for stochastic games (Q328165) (← links)
- Robust Markov control processes (Q401072) (← links)
- A dynamic inventory rationing problem with uncertain demand and production rates (Q499316) (← links)
- Policy iteration for robust nonstationary Markov decision processes (Q518127) (← links)
- Robust solutions to Stackelberg games: addressing bounded rationality and limited observations in human cognition (Q622107) (← links)
- Efficient solutions to factored MDPs with imprecise transition probabilities (Q646498) (← links)
- Using mathematical programming to solve factored Markov decision processes with imprecise probabilities (Q648368) (← links)
- An analysis of model-based interval estimation for Markov decision processes (Q959899) (← links)
- Discrete time Markov chains with interval probabilities (Q962945) (← links)
- Selected topics in robust convex optimization (Q995791) (← links)
- Partially observable Markov decision processes with imprecise parameters (Q1028935) (← links)
- Robustness inequality for Markov control processes with unbounded costs (Q1128542) (← links)
- Ambiguous partially observable Markov decision processes: structural results and applications (Q1622437) (← links)
- Robust optimal strategies in Markov decision problems (Q1667199) (← links)
- Variance-constrained actor-critic algorithms for discounted and average reward MDPs (Q1689603) (← links)
- A graph-theoretic-based method for analyzing conduction problems (Q1700614) (← links)
- Robust topological policy iteration for infinite horizon bounded Markov decision processes (Q1726357) (← links)
- Computation of weighted sums of rewards for concurrent MDPs (Q1731592) (← links)
- Reinforcement learning with limited reinforcement: using Bayes risk for active learning in POMDPs (Q1761294) (← links)
- Likelihood robust optimization for data-driven problems (Q1789597) (← links)
- Robust response-guided dosing (Q1790204) (← links)
- Minimax and risk averse multistage stochastic programming (Q1926691) (← links)
- Coefficients of ergodicity for Markov chains with uncertain parameters (Q1938879) (← links)
- Light robustness in the optimization of Markov decision processes with uncertain parameters (Q2003420) (← links)
- Policy-based branch-and-bound for infinite-horizon multi-model Markov decision processes (Q2026970) (← links)
- Tutorial on risk neutral, distributionally robust and risk averse multistage stochastic programming (Q2028833) (← links)
- Time (in)consistency of multistage distributionally robust inventory models with moment constraints (Q2029289) (← links)
- Asymptotic optimality of the generalized \(c\mu\) rule under model uncertainty (Q2029786) (← links)
- Robust analysis of discounted Markov decision processes with uncertain transition probabilities (Q2033494) (← links)
- Distributionally robust optimal control and MDP modeling (Q2060388) (← links)
- Gittins' theorem under uncertainty (Q2076662) (← links)
- Learning and planning in partially observable environments without prior domain knowledge (Q2076979) (← links)
- Risk-averse policy optimization via risk-neutral policy optimization (Q2082514) (← links)
- Distributionally robust modeling of optimal control (Q2084037) (← links)
- Robust control of the multi-armed bandit problem (Q2095215) (← links)
- Toward theoretical understandings of robust Markov decision processes: sample complexity and asymptotics (Q2112808) (← links)
- Variable demand and multi-commodity flow in Markovian network equilibrium (Q2125514) (← links)
- Lipschitzness is all you need to tame off-policy generative adversarial imitation learning (Q2163202) (← links)
- Estimating permanent price impact via machine learning (Q2182135) (← links)
- Detection-averse optimal and receding-horizon control for Markov decision processes (Q2208599) (← links)
- Learning parametric policies and transition probability models of Markov decision processes from data (Q2220059) (← links)
- Robust bounds and optimization at the large deviations scale for queueing models via Rényi divergence (Q2240844) (← links)
- A survey of decision making and optimization under uncertainty (Q2241216) (← links)
- A dynamic programming approach to adjustable robust optimization (Q2275569) (← links)
- Algorithmic aspects of mean-variance optimization in Markov decision processes (Q2356186) (← links)
- Dynamic programming for deterministic discrete-time systems with uncertain gain (Q2386119) (← links)
- Reachability analysis of uncertain systems using bounded-parameter Markov decision processes (Q2389641) (← links)
- Recursive robust estimation and control without commitment (Q2455651) (← links)
