IEEE

A Prediction-Correction Proximal Method for Convex Optimization With Linear Equality and Inequality Constraints

Abstract: This article presents a prediction-correction proximal method (PCPM) for the general nonsmooth convex optimization problem with linear equality and inequality constraints. The proposed ...
IEEE

Randomized Distributed Strategy for a Class of Convex Optimization with Coupling Constraints

Abstract: In this paper, we consider a class of constrained convex optimization problems, where the global cost function is defined as the sum of agents' individual cost functions. Both local and ...
GitHub

Convex Optimization under Uncertainty

CVXRO is a package for decision making under uncertainty. It is based on Python, and built on top of CVXPY. It allows model optimization problems affected by uncertainty using data. The following code ...
GitHub

williamyuanv0/Transformer-in-Reinforcement-Learning-for-Decision-Making-A-Survey

Efficient Transformers in Reinforcement Learning using Actor-Learner Distillation[2021] E. Parisotto and R. Salakhutdinov[PDF] Deep Transformer Q-Networks for Partially Observable Reinforcement ...