Results 81 to 90 of about 26,957 (159)

Counterfactual Strategies for Markov Decision Processes

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence
Counterfactuals are widely used in AI to explain how minimal changes to a model’s input can lead to a different output. However, established methods for computing counterfactuals typically focus on one-step decision-making, and are not directly applicable to sequential decision-making tasks.
Kobialka, Paul, Gerlach, Carolina, Leofante, Francesco, Ábrahám, Erika, Lizeth, Silvia, Tarifa, Tapia, Johnsen, Einar Brocj   +6 more
openaire   +4 more sources

Robustness to Modeling Errors in Risk-Sensitive Markov Decision Problems With Markov Risk Measures

IEEE Open Journal of Control Systems
We consider risk-sensitive Markov decision processes (MDPs), where the MDP model is influenced by a parameter which takes values in a compact metric space. These situations arise when the underlying dynamics of the system depend on parameters that drifts
Shiping Shao, Abhishek Gupta
doaj   +1 more source

On the convergence of projective-simulation-based reinforcement learning in Markov decision processes. [PDF]

Quantum Mach Intell, 2020
Boyajian WL, Clausen J, Trenkwalder LM, Dunjko V, Briegel HJ.   +4 more
europepmc   +1 more source

Data-Driven Volt/VAR Optimization for Modern Distribution Networks: A Review

IEEE Access
The Volt/Var optimization (VVO) enables advanced control strategy development for voltage regulation. With the recent advancement of data-driven approaches and communication infrastructure, realtime decision-making through VVO can effectively address ...
Sarah Allahmoradi, Shahabodin Afrasiabi, Xiaodong Liang, Junbo Zhao, Mohammad Shahidehpour   +4 more
doaj   +1 more source

Optimizing genomic sampling for demographic and epidemiological inference with Markov decision processes. [PDF]

Genetics
Rasmussen DA, Bursell MG, Burkhart F.
europepmc   +1 more source

Strategic cancer therapy planning: optimizing treatment and quality of life with Markov decision processes. [PDF]

Rep Pract Oncol Radiother
Singh S, Sahu C, Singh P, Mishra A, Mishra SK, Patnaik PK.   +5 more
europepmc   +1 more source

Robust and Efficient Transfer Learning with Hidden Parameter Markov Decision Processes. [PDF]

Adv Neural Inf Process Syst, 2017
Killian T, Daulton S, Konidaris G, Doshi-Velez F.   +3 more
europepmc   +1 more source

Evolving Robust Policy Coverage Sets in Multi-Objective Markov Decision Processes Through Intrinsically Motivated Self-Play. [PDF]

Front Neurorobot, 2018
Abdelfattah S, Kasmarik K, Hu J.
europepmc   +1 more source

Federated reinforcement learning with constrained markov decision processes and graph neural networks for fair and grid-constrained coordination of large-scale electric vehicle charging networks. [PDF]

Sci Rep
Zhou L, Huo D, Chen J, Bo B, Li H.
europepmc   +1 more source

Revolutionizing load harmony in edge computing networks with probabilistic cellular automata and Markov decision processes. [PDF]

Sci Rep
Sahu D, Nidhi, Chaturvedi R, Prakash S, Yang T, Rathore RS, Wang L, Tahir S, Bakhsh ST.   +8 more
europepmc   +1 more source