Reinforcement learning has become the central approach for language models (LMs) to learn from environmental reward or feedback. In practice, the environmental feedback is usually sparse and delayed.

Appian's Q4 2025 results show a company riding the wave of an idea whose time has come. CEO Matt Calkins argues that AI cannot deliver enterprise value without process orchestration, and the market is ...

Abstract: The flywheel battery system is extremely sensitive to its own time-varying nonlinear characteristics and random disturbances in actual operating conditions. The traditional model predictive ...

In the Star Trek universe, the audience occasionally gets a glimpse inside schools on the planet Vulcan. Young children stand alone in pods surrounded by 360-degree digital screens. Adults wander ...

Appian Corporation (NASDAQ:APPN) introduced major enhancements to its AI-powered process automation platform, embedding advanced AI agents directly into business workflows. The new release aims to ...

MCLEAN, Va., July 22, 2025 /PRNewswire/ — Appian (NASDAQ: APPN), a leader in process orchestration with AI, has been recognized in three new reports from Chartis Research across risk management, ...

Reinforcement learning (RL) represents a paradigm shift in process control, offering adaptive and data‐driven strategies for the management and optimisation of complex industrial processes. By ...

This article examines the role of artificial intelligence (AI) models in the cognitive and learning activities of subjects in higher education institutions. The authors design this model using ...

ABSTRACT: The present study aimed to examine the impact of emotion regulation on depression symptoms, with a particular focus on the mediating roles of social anxiety and loneliness among Chinese ...

Modern large language models (LLMs) might write beautiful sonnets and elegant code, but they lack even a rudimentary ability to learn from experience. Researchers at Massachusetts Institute of ...