12 citations · 14 across the 3 of their papers we have counts for
3 papers
math.OC2024
Social optimum of finite mean field games: existence and uniqueness of equilibrium solutions in the finite horizon and stationary solutions in the infinite horizon
Zijia Niu, Sanjin Huang, Lu Ren +2
In this paper, we consider the social optimal problem of discrete time finite state space mean field games (referred to as finite mean field games [1]). Unlike the individual optim…
cs.LG2024★ 2 cited
Learning Diverse Policies with Soft Self-Generated Guidance
Guojian Wang, Faguo Wu, Xiao Zhang +1
Reinforcement learning (RL) with sparse and deceptive rewards is challenging because non-zero rewards are rarely obtained. Hence, the gradient calculated by the agent can be stocha…
cs.LG2023★ 12 cited
Adaptive trajectory-constrained exploration strategy for deep reinforcement learning
Guojian Wang, Faguo Wu, Xiao Zhang +2
Deep reinforcement learning (DRL) faces significant challenges in addressing the hard-exploration problems in tasks with sparse or deceptive rewards and large state spaces. These c…