Science – Page 49

When Agents Learn to Trade: Modeling Markets with Diverse Behaviors

10.11.2025 by qfx

A multi-agent reinforcement learning approach models financial markets by assigning unique traits to each agent, then governing their behavior with a shared policy optimized—through optimal transport calibration against real market data—to satisfy individual preferences within a limit order book environment.

New research shows that simulating financial markets with agents who learn and have unique preferences can recreate realistic trading patterns.

Predicting Pasture: Deep Learning Forecasts Irish Grass Growth

10.11.2025 by qfx

Ryegrass, subjected to the predictable rhythms of the months, demonstrates a growth pattern destined to plateau, a temporary flourishing inevitably constrained by inherent limitations.

A new approach to forecasting perennial ryegrass growth leverages the power of deep learning for optimized grassland management.

Mapping the Universe: AI Accelerates Dark Energy Research

10.11.2025 by qfx

The CosmicANNEstimator framework attempts to reconcile observational data with theoretical models through neural networks, yet the very validation process—reliant on Markov Chain Monte Carlo methods—acknowledges the inherent limitations of any framework when confronting the unknown.

A new artificial intelligence method streamlines the process of determining the properties of dark energy using astronomical observations.