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 ...

Amid this shift, Interview Kickstart has introduced an advanced machine learning and agentic AI program designed to help ...

Pupil dilation provides a physiological readout of information gain during the brain's internal process of belief updating in the context of associative learning.

An overview of our research on agentic RL. In this work, we systematically investigate three dimensions of agentic RL: data, algorithms, and reasoning modes. Our findings reveal: Real end-to-end ...

First 2026 cyber recap covering IoT exploits, wallet breaches, malicious extensions, phishing, malware, and early AI abuse.

Abstract: This paper proposes a new Run-to-Run (R2R) control framework based on deep deterministic policy gradient (DDPG) for the mixed-product production mode in semiconductor manufacturing. The DDPG ...

We propose TraceRL, a trajectory-aware reinforcement learning method for diffusion language models, which demonstrates the best performance among RL approaches for DLMs. We also introduce a ...