3 citations · 5 across the 3 of their papers we have counts for
4 papers
Model Embedding Model-Based Reinforcement Learning
Xiaoyu Tan, Chao Qu, Junwu Xiong +1
Model-based reinforcement learning (MBRL) has shown its advantages in sample-efficiency over model-free reinforcement learning (MFRL). Despite the impressive results it achieves, i…
Value Propagation for Decentralized Networked Deep Multi-agent Reinforcement Learning
Chao Qu, Shie Mannor, Huan Xu +3
We consider the networked multi-agent reinforcement learning (MARL) problem in a fully decentralized setting, where agents learn to coordinate to achieve the joint success. This pr…
Non-convex Conditional Gradient Sliding
Chao Qu, Yan Li, Huan Xu
We investigate a projection free method, namely conditional gradient sliding on batched, stochastic and finite-sum non-convex problem. CGS is a smart combination of Nesterov's acce…
SAGA and Restricted Strong Convexity
Chao Qu, Yan Li, Huan Xu
SAGA is a fast incremental gradient method on the finite sum problem and its effectiveness has been tested on a vast of applications. In this paper, we analyze SAGA on a class of n…