Awesome physics.soc-ph

Papers

Exploring cooperation mechanisms via reinforcement learning in network common-pool resource games (2026)
Yihang Qin and Lin Wang
4.33
How Exploration Breaks Cooperation in Shared-Policy Multi-Agent Reinforcement Learning (2026)
Yi-Ning Weng et al.
1.67
Dual Reinforcement Learning Synergy in Resource Allocation: Emergence of Self-Organized Momentum Strategy (2025)
Zhen-Na Zhang et al.
1.44
Real-Time Cascade Mitigation in Power Systems Using Influence Graph Improved by Reinforcement Learning (2025)
Kai Zhou et al.
1.28
Deterministic Model of Incremental Multi-Agent Boltzmann Q-Learning: Transient Cooperation, Metastability, and Oscillations (2025)
David Goll et al.
1.00
Multi-agent reinforcement learning using echo-state network and its application to pedestrian dynamics (2023)
Hisato Komatsu
0.33
Learning Optimal and Fair Policies for Online Allocation of Scarce Societal Resources from Data Collected in Deployment (2023)
Bill Tang et al.
—
Optimal coordination of resources: A solution from reinforcement learning (2023)
Guozhong Zheng et al.
—
Surpassing legacy approaches to PWR core reload optimization with single-objective Reinforcement learning (2024)
Paul Seurin et al.
—
Reinforcement Learning Jazz Improvisation: When Music Meets Game Theory (2024)
Vedant Tapiavala et al.
—
SIR-RL: Reinforcement Learning for Optimized Policy Control during Epidemiological Outbreaks in Emerging Market and Developing Economies (2024)
Maeghal Jain et al.
—
Crafting Desirable Climate Trajectories with RL Explored Socio-Environmental Simulations (2024)
James Rudd-Jones et al.
—
Spatio-Temporal SIR Model of Pandemic Spread During Warfare with Optimal Dual-use Healthcare System Administration using Deep Reinforcement Learning (2024)
Adi Shuchami et al.
—
Trading Devil RL: Backdoor attack via Stock market, Bayesian Optimization and Reinforcement Learning (2024)
Orson Mengara
—
Multi-agent reinforcement learning in the all-or-nothing public goods game on networks (2024)
Benedikt Valentin Meylahn
—