From the 2 of 7 linked papers with an AI index.
7 papers
Actor-Critic Learning for Extended Mean Field Control with Deterministic Policies
Ziheng Cheng, Xin Guo, Huyên Pham +1
The paper proposes a model‑free reinforcement learning framework for continuous‑time extended mean field control using deterministic feedback policies, deriving deterministic polic…
Limit Theory for -Player -Potential Games
Xin Guo, Meng Wang, Yufei Zhang
The paper studies how finite‑player α‑potential games behave as the number of players grows, proving that the normalized potential functions converge to a mean‑field control proble…
Distributed games with jumps: An -potential game approach
Xin Guo, Xinyu Li, Yufei Zhang
Motivated by game-theoretic models of crowd motion dynamics, this paper analyzes a broad class of distributed games with jump diffusions within the recently developed -potentia…
Deterministic Policy Gradient for Reinforcement Learning with Continuous Time and State
Ziheng Cheng, Xin Guo, Yufei Zhang
The theory of continuous-time reinforcement learning (RL) has progressed rapidly in recent years. While the ultimate objective of RL is typically to learn deterministic control pol…
BSDE Approach for -Potential Stochastic Differential Games
Xin Guo, Xun Li, Liangquan Zhang
In this paper, we examine a class of -potential stochastic differential games with random coefficients via the backward stochastic differential equations (BSDEs) approach. Spec…
Nonstationary nonzero-sum Markov games under a probability criterion
Xin Guo, Xin Wen
This paper deals with N-person nonzero-sum discrete-time Markov games under a probability criterion, in which the transition probabilities and reward functions are allowed to vary…