reinforcement learning

Cholinergic-dependent dopamine signals in mouse dorsomedial striatum are regulated by frontal but not sensory cortices

Everyday decisions depend on associations between sensory stimuli, actions, and outcomes. The striatum supports these sensorimotor associations through dopamine-dependent plasticity. Recent work has characterized a local striatal microcircuit in which cholinergic interneurons (CINs) modulate dopamine release via activa...

Correction to “Research on autonomous decision‐making method for spacecraft in the mission of rendezvous and approaching to maneuvering target based on deep reinforcement learning”

C. Huang, A. Xing, Q. Zeng, and F. Xiong, Research on autonomous decision-making method for spacecraft in the mission of rendezvous and approaching to maneuvering target based on deep reinforcement learning, Asian J. Control 27 (2025), 2541–2557, DOI https://doi.org/10.1002/asjc.3599. In the Funding section, the fundin...

Dynamic Hippocampal–Striatal Information Flow Accompanies Behavioral Strategy Transitions During Sequential Learning in Pigeons: A Preliminary Study

Preliminary findings suggest that learning is accompanied by frequency-specific changes in brain communication and provide new insights into the neural basis of adaptive decision-making in birds.

IC-VTP: An intent-conditioned reinforcement learning method for robust long-term trajectory prediction of non-cooperative vessels

Harnessing Artificial Intelligence for Strategic Retail Promotions

The retail industry is undergoing a transformation due to the integration of Artificial Intelligence (AI) in promotional strategies. Traditional methods like print ads, radio commercials, and in-store displays face challenges in today's dynamic retail environment, such as the inability to integrate with online platform...

Comparison of Reinforcement Learning-based Algorithm for Eco-Driving Control in Electric Vehicles

A Reinforcement-Learning-Based Fuzzy PID Control Strategy for the Unwinding Tension System of a Lithium-Ion Battery Coating Machine

Stable tension is critical for the coating quality of lithium-ion battery electrodes. As the origin of tension control, the unwinding system’s control accuracy governs the stability of downstream processes and the final yield. To achieve the required precision, we propose a control strategy that combines reinforcement...

Deep reinforcement learning based trajectory optimization in unmanned aerial vehicles: a lyapunov control perspective

LGBTIQ+ lives under colonial shadows: The legacy of German colonial law in today’s Tanzania and Namibia

Colonial legacies have profoundly shaped the post-colonial landscapes of African countries, influencing all aspects of life, including the reinforcement of a singular, heteronormative conception of sexuality. This legacy continues to shape the perceptions of sexual orientation, gender identity, gender expression and se...

A cascaded PID-reinforcement learning-based virtual inertia control in microgrid load frequency control system using electric vehicle energy storage

The islanded microgrids increasingly depend on renewable energy sources for power generation and introduce significant frequency control challenges due to the renewable sources’ intermittent nature and low system inertia. Traditional energy storage systems, though employed and effective for frequency stabilization, are...

Artificial Intelligence for Economic Resilience and Global Stability

The current world economies are in a highly volatile framework characterized by thick interdependencies, and quick changing risk factors. The classical econometric models with their assumption of the stasis and restrictive data granularity cannot predict systemic shocks and timely interventions. This chapter provides a...

Energy-cost-aware cooperative scheduling for cascade slurry pumping stations: A multi-agent deep reinforcement learning approach