Managing The Now And The Next Is Leadership’s Hardest Job Today

Leaders are delivering results today while falling behind on workforce readiness for tomorrow. New data shows managing both ...

Budget expectations Highlights: Income Tax, incentives, policy support among demands from Finance Minister Sitharaman

The Budget 2026 Session is set to begin from 28 January in Parliament, and expectations from Union Finance Minister Nirmala ...
Mirage News

Proposals Sought for Indigenous Early Learning Innovation

Today, the Honourable Patty Hajdu, Minister of Jobs and Families and Minister responsible for the Federal Economic Development Agency for Northern Ontario, launched the fourth call for proposals for ...
IEEE

Historical Decision-Making Regularized Maximum Entropy Reinforcement Learning

Abstract: The challenge of the exploration-exploitation dilemma persists in off-policy reinforcement learning (RL) algorithms, impeding the improvement of policy performance and sample efficiency. To ...
IEEE

Learning-Based Maximum Likelihood Estimator for Angle-of-Arrival Localization

Abstract: The estimation of target positions from angle-of-arrival (AOA) measurements has been extensively researched, and various estimators have been proposed to tackle this challenge. Among these, ...
GitHub

Maximum Entropy Deep Inverse Reinforcement Learning

This repository contains the implementation of the paper "Maximum Entropy Deep Inverse Reinforcement Learning" by Wulfmeier et al. [1] in PyTorch. You will also find in the notebooks directory a ...