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Full-Text Articles in Business
Neural-Progressive Hedging: Enforcing Constraints In Reinforcement Learning With Stochastic Programming, Supriyo Ghosh, Laura Wynter, Shiau Hong Lim, Duc Thien Nguyen
Neural-Progressive Hedging: Enforcing Constraints In Reinforcement Learning With Stochastic Programming, Supriyo Ghosh, Laura Wynter, Shiau Hong Lim, Duc Thien Nguyen
Research Collection School Of Computing and Information Systems
We propose a framework, called neural-progressive hedging (NP), that leverages stochastic programming during the online phase of executing a reinforcement learning (RL) policy. The goal is to ensure feasibility with respect to constraints and risk-based objectives such as conditional value-at-risk (CVaR) during the execution of the policy, using probabilistic models of the state transitions to guide policy adjustments. The framework is particularly amenable to the class of sequential resource allocation problems since feasibility with respect to typical resource constraints cannot be enforced in a scalable manner. The NP framework provides an alternative that adds modest overhead during the online phase. …
How To Distinguish Smart Big Moves From Stupid Ones, Paul Strebel, Anne-Valerie Ohlsson-Corboz
How To Distinguish Smart Big Moves From Stupid Ones, Paul Strebel, Anne-Valerie Ohlsson-Corboz
Research Collection Lee Kong Chian School Of Business
When top executives undertake big moves – dramatic shifts in strategic direction – their decisions can make or break a company. This paper aims to offer a methodology for cutting the risks of making a catastrophic misstep. To avoid a corporate disaster and increase the chances of a smart and ultimately successful big move the paper raises six critical questions that must be answered honestly and unequivocally by managers. The research indicates that there are five classic types of big move, each corresponding to a different position on the corporate performance curve: finding a new game; going for growth; getting …
Managing Project Uncertainty: From Variation To Chaos, Arnoud De Meyer, Christoph H. Loch, Michael T. Pich
Managing Project Uncertainty: From Variation To Chaos, Arnoud De Meyer, Christoph H. Loch, Michael T. Pich
Research Collection Lee Kong Chian School Of Business
The article cites a study finding that accurately gauging the degree of uncertainty inherent in the projects can help project managers quickly adapt to it. Researchers studied 16 projects in areas including personal-computer development, telecommunications, Internet startups, pharmaceutical development, iron-ore processing, airship development, and building construction, to examine risk management and project outcomes. They found that most managers failed to recognize that there are different types of uncertainty, each requiring a different management approach. This paper explores uncertainty-based management, which derives planning, monitoring and management style from an uncertainty profile comprising four types of uncertainty: variation, foreseen uncertainty, unforeseen uncertainty, …