Rebuilding Trust In AI: The Case For Governance And Transparency

When users ask leading questions, AI systems reshape their responses to align with existing biases rather than challenge them ...
IEEE

Enhanced Reward Function Design for Source Term Estimation Based on Deep Reinforcement Learning

Abstract: This study investigates the design of reward functions for deep reinforcement learning-based source term estimation (STE). Estimating the properties of unknown hazardous gas leakage using a ...
IEEE

Preference-Based Multi-Objective Reinforcement Learning

Abstract: Multi-objective reinforcement learning (MORL) is a structured approach for optimizing tasks with multiple objectives. However, it often relies on pre-defined reward functions, which can be ...