Sep 11, 2024 · The primary goal of reinforcement learning is to develop decision-making policies that prioritize optimal performance without considering risk or safety. In ...
Sep 20, 2024 · This paper considers the multiarmed bandit (MAB) problem augmented with a critical real-world consideration: the cost implications of switching decisions.
Sep 13, 2024 · We test whether task-irrelevant sensory prediction errors influence risky decision making in humans across seven experiments (total n = 1600).
Sep 9, 2024 · Proximal Policy Optimization (PPO) is a reinforcement learning algorithm designed to train AI agents to make decisions in complex, dynamic environments.
Missing: via | Show results with:via
Full article: Risk conscious investment¶
www.tandfonline.com › ... › List of Issues › Latest Articles
Sep 25, 2024 · The risk conscious dynamic objective is to maximize a nonlinear expectation of the cumulated discounted returns earned by an investment policy applied over a ...
Sep 26, 2024 · The VAAM uses a universal utility function to evaluate the risk-return trade-offs of various portfolio combinations within set constraints. A utility function ...
Sep 23, 2024 · Risk aversion emerges from mindless decision-making as the evolutionarily dominant behavior in stochastic environments with correlated reproductive risk across ...
5 days ago · Prospect theory is a theory of behavioral economics, judgment and decision making that was developed by Daniel Kahneman and Amos Tversky in 1979.
Sep 12, 2024 · This review organizes the vibrant recent literature on the cognitive foundations of eco- nomic decision-making. At a basic level, this entire literature ...
Sep 18, 2024 · On this basis, a dynamic bi-objective portfolio allocation model considering realistic constraints and dynamic risk preference is constructed to realize ...
Missing: via | Show results with:via
