On the public citation graph

MORSE: Multi-Objective Reinforcement Learning via Strategy Evolution for Supply Chain Optimization

0 signed · 28 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/3-540-59497-3_220openalex-snapshot
Neural network initialization
inferredcites →https://doi.org/10.1007/978-3-540-88908-3openalex-snapshot
Multiobjective Optimization
inferredcites →https://doi.org/10.1007/s10994-013-5369-0openalex-snapshot
Hypervolume indicator and dominance reward based multi-objective Monte-Carlo Tree Search
inferredcites →https://doi.org/10.1016/j.cherd.2021.08.013openalex-snapshot
Machine learning on sustainable energy: A review and outlook on renewable energy systems, catalysis, smart grid and energy storage
inferredcites →https://doi.org/10.1016/j.compchemeng.2009.11.012openalex-snapshot
Scope for the application of mathematical programming techniques in the synthesis and planning of sustainable processes
inferredcites →https://doi.org/10.1016/j.cor.2009.06.002openalex-snapshot
Multi-objective optimization for inventory control in two-level assembly systems under uncertainty of lead times
inferredcites →https://doi.org/10.1016/j.eswa.2010.12.072openalex-snapshot
An evolutionary approach for multi-objective optimization of the integrated location–inventory distribution network problem in vendor-managed inventory
inferredcites →https://doi.org/10.1016/j.eswa.2015.12.032openalex-snapshot
Multi-objective optimization of hybrid backorder inventory model
inferredcites →https://doi.org/10.1016/j.ifacol.2024.08.402openalex-snapshot
Leveraging reinforcement learning and evolutionary strategies for dynamic multi objective decision making in supply chain management
inferredcites →https://doi.org/10.1016/j.ijhydene.2023.06.145openalex-snapshot
Multi-objective reinforcement learning-based energy management for fuel cell vehicles considering lifecycle costs
inferredcites →https://doi.org/10.1016/j.jprocont.2022.05.003openalex-snapshot
Multi-objective reinforcement learning for fed-batch fermentation process control
inferredcites →https://doi.org/10.1016/j.neucom.2016.10.100openalex-snapshot
A temporal difference method for multi-objective reinforcement learning
inferredcites →https://doi.org/10.1016/j.omega.2016.09.007openalex-snapshot
A simulation-based multi-objective optimization framework: A case study on inventory management
inferredcites →https://doi.org/10.1080/00207543.2012.740579openalex-snapshot
Fuzzy multi-objective linear programming approach for optimising a closed-loop supply chain network
inferredcites →https://doi.org/10.1080/00207543.2021.1999523openalex-snapshot
An elitist cooperative evolutionary bi-level multi-objective decomposition-based algorithm for sustainable supply chain
inferredcites →https://doi.org/10.1080/00207721.2013.860639openalex-snapshot
Application of fuzzy goal programming approach to multi-objective linear fractional inventory model
inferredcites →https://doi.org/10.1109/4235.996017openalex-snapshot
A fast and elitist multiobjective genetic algorithm: NSGA-II
inferredcites →https://doi.org/10.1109/adprl.2013.6615007openalex-snapshot
Scalarized multi-objective reinforcement learning: Novel design techniques
inferredcites →https://doi.org/10.1109/ijcnn.2014.6889738openalex-snapshot
Policy gradient approaches for multi-objective sequential decision making
inferredcites →https://doi.org/10.1109/tits.2020.2964012openalex-snapshot
Pareto-Optimal Transit Route Planning With Multi-Objective Monte-Carlo Tree Search
inferredcites →https://doi.org/10.1145/2001576.2001674openalex-snapshot
Evolving policies for multi-reward partially observable markov decision processes (MR-POMDPs)
inferredcites →https://doi.org/10.1145/3569096openalex-snapshot
Combining Evolution and Deep Reinforcement Learning for Policy Search: A Survey
inferredcites →https://doi.org/10.1145/3583131.3590441openalex-snapshot
A Two-Stage Multi-Objective Evolutionary Reinforcement Learning Framework for Continuous Robot Control
inferredcites →https://doi.org/10.21314/jor.2000.038openalex-snapshot
Optimization of conditional value-at-risk
inferredcites →https://doi.org/10.3233/ica-160515openalex-snapshot
Multi-objective inventory routing with uncertain demand using population-based metaheuristics
inferredcites →https://doi.org/10.3390/su132413617openalex-snapshot
Multi-Objective Optimization for Sustainable Supply Chain and Logistics: A Review
inferredcites →https://doi.org/10.35940/ijrte.d9192.018520openalex-snapshot
A Deterministic Multi-Objective Optimization Process of Multi-Item Inventory Management in Fmcg Industry

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/s10479-026-07205-xopenalex-snapshot
Reinforcement Learning for decision support in defense and security: A systematic review
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.