activity
20182023
most citedReinforcement Learning for Selective Key Applications in Power Systems: Recent Advances and Future Challenges

422 citations · 673 across the 48 of their papers we have counts for

collaborators
Showing 2022Show all

16 papers · 1 filter

cs.LG2022★ 1 cited

Latent Variable Representation for Reinforcement Learning

Tongzheng Ren, Chenjun Xiao, Tianjun Zhang +5

Deep latent variable models have achieved significant empirical successes in model-based reinforcement learning (RL) due to their expressiveness in modeling complex transition dyna…

cs.MA2022★ 1 cited

Multi-Agent Reinforcement Learning with Reward Delays

Yuyang Zhang, Runyu Zhang, Yuantao Gu +1

This paper considers multi-agent reinforcement learning (MARL) where the rewards are received after delays and the delay time varies across agents and across time steps. Based on t…

math.OC2022

On Controller Reduction in Linear Quadratic Gaussian Control with Performance Bounds

Zhaolin Ren, Yang Zheng, Maryam Fazel +1

The problem of controller reduction has a rich history in control theory. Yet, many questions remain open. In particular, there exist very few results on the order reduction of gen…

stat.ML2022★ 2 cited

Learning to Optimize with Stochastic Dominance Constraints

Hanjun Dai, Yuan Xue, Niao He +4

In real-world decision-making, uncertainty is important yet difficult to handle. Stochastic dominance provides a theoretically sound approach for comparing uncertain quantities, bu…

cs.CV2022

Semantic Video Moments Retrieval at Scale: A New Task and a Baseline

Na Li

Motivated by the increasing need of saving search effort by obtaining relevant video clips instead of whole videos, we propose a new task, named Semantic Video Moments Retrieval at…

cs.SD2022★ 6 cited

The DKU-Tencent System for the VoxCeleb Speaker Recognition Challenge 2022

Xiaoyi Qin, Na Li, Yuke Lin +4

This paper is the system description of the DKU-Tencent System for the VoxCeleb Speaker Recognition Challenge 2022 (VoxSRC22). In this challenge, we focus on track1 and track3. For…