2 citations · 2 across the 1 of their papers we have counts for
2 papers
cs.MA2024★ 2 cited
Game Theory and Multi-Agent Reinforcement Learning : From Nash Equilibria to Evolutionary Dynamics
Neil De La Fuente, Miquel Noguer i Alonso, Guim Casadellà
This paper explores advanced topics in complex multi-agent systems building upon our previous work. We examine four fundamental challenges in Multi-Agent Reinforcement Learning (MA…
q-fin.PM2020
Deep Reinforcement Learning for Asset Allocation in US Equities
Miquel Noguer i Alonso, Sonam Srivastava
Reinforcement learning is a machine learning approach concerned with solving dynamic optimization problems in an almost model-free way by maximizing a reward function in state and…