This video demonstrates how to use Lagrange multipliers to find the tension in a falling yo-yo. By applying constraints and generalized coordinates, you’ll see how this powerful method reveals both ...
Abstract: We explored the application of Risk-averse Reinforcement Learning (Risk-averse RL) in Constrained Markov Decision Process (CMDP) in optimizing investment portfolios, incorporating ...
Abstract: This paper investigates the potential of ChatGPT to solve constrained optimization problems in economic mathematics using the Lagrangian multiplier method. By applying a deductive reasoning ...
New users can sign up with the Sleeper promo code GOALBONUS to unlock a 100% deposit match up to $100 plus the $20 no deposit bonus. The bonus code can be applied to both iOS and Android apps, or ...
This is a pytorch implementation of Constrained Stackelberg Q-learning(discrete action) and Constrained Stackelberg MADDPG(continuous action). These algorithms are proposed by incorporating the ...
This is the PyTorch code for the Proactive Infeasibility Prevention (PIP) framework implemented on POMO, AM and GFACS. PIP is a generic and effective framework to advance the capabilities of neural ...
Central government employees and pensioners await the 8th Pay Commission's fitment factor decision, expected in late 2027. Experts predict a range of 1.83 to 2.57, with potential for uniform or ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results