Occupational Health & Safety

Rethinking OEHS Training: Moving Beyond Compliance to Reduce Risk

Research shows that compliance-focused safety training alone rarely delivers lasting risk reduction, prompting calls for ...
IEEE

Two-Stage Learning Approach for Semantic-Aware Task Scheduling in Container-Based Clouds

Abstract: Container-based task scheduling is critical for ensuring a reliable, flexible and cost-effective cloud computing mode. However, in different business cloud systems, state-of-the-art ...
Frontiers

Are S.M.A.R.T goals really smart? The psychological effects of goal-setting in a learning task

Aim: Specific, Measurable, Achievable, Realistic, Time-bound (SMART) goals are commonly used in educational settings as a strategy to optimise learning. However, research and theory suggest that such ...
GitHub

Scaling Agentic Reinforcement Learning with a Multi-Turn, Multi-Task Framework

For a minimal example of how to use the environment framework, refer to examples/simple-calculator. For the environment and training data used in our paper, see AgentBench FC. For reproducing the ...
IEEE

From Demand to Grounded Plan: Task Customization and Planning for Service Robots With Deep Learning and LLMs

Abstract: In the field of task planning for service robots, large language model (LLM)-based approaches have shown increasing potential but still struggle with responding to complex user demands and ...