Search Results for author: Qing-Shan Jia

Found 3 papers, 0 papers with code

An Actor-Critic Method for Simulation-Based Optimization

no code implementations31 Oct 2021 Kuo Li, Qing-Shan Jia, Jiaqi Yan

We formulate the sampling process as a policy searching problem and give a solution from the perspective of Reinforcement Learning (RL).

Adversarial Attack

Decentralized Multi-Agent Reinforcement Learning: An Off-Policy Method

no code implementations31 Oct 2021 Kuo Li, Qing-Shan Jia

Furthermore, convergence analysis is given under the discrete-space case, which guarantees that the policy will be reinforced by alternating between the processes of policy evaluation and policy improvement.

Multi-agent Reinforcement Learning Q-Learning +1

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