Ministry of Testing

The future of testing: Autonomous agents, ethical AI, and human oversight

Understand why testing must evolve beyond deterministic checks to assess fairness, accountability, resilience and ...
IEEE

Optimizing Plastic Waste Collection in Water Bodies Using Heterogeneous Autonomous Surface Vehicles With Deep Reinforcement Learning

Abstract: This letter presents a model-free deep reinforcement learning framework for informative path planning with heterogeneous fleets of autonomous surface vehicles to locate and collect plastic ...
coincentral

OECD Crypto Tax Framework Triggers Global Data Collection in 2026

Crypto service providers in 48 countries have started collecting transaction data from January 1, 2026. The data collection is in preparation for the OECD’s Crypto-Asset Reporting Framework which will ...
GitHub

Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models

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 ...
IEEE

IntNet: A Communication-Driven Multi-Agent Reinforcement Learning Framework for Cooperative Autonomous Driving

Abstract: Achieving safety in autonomous driving through Multi-Agent Reinforcement Learning (MARL) is a critical yet challenging task due to non-stationarity, partial observability, and the need for ...