30 citations · 40 across the 3 of their papers we have counts for
7 papers
Asynchronous Reinforcement Learning for Real-Time Control of Physical Robots
Yufeng Yuan, A. Rupam Mahmood
An oft-ignored challenge of real-world reinforcement learning is that the real world does not pause when agents make learning updates. As standard simulated environments do not add…
Receptive Multi-granularity Representation for Person Re-Identification
Guanshuo Wang, Yufeng Yuan, Jiwei Li +2
A key for person re-identification is achieving consistent local details for discriminative representation across variable environments. Current stripe-based feature learning appro…
Accurate Temporal Action Proposal Generation with Relation-Aware Pyramid Network
Jialin Gao, Zhixiang Shi, Jiani Li +4
Accurate temporal action proposals play an important role in detecting actions from untrimmed videos. The existing approaches have difficulties in capturing global contextual infor…
Relation-Aware Pyramid Network (RapNet) for temporal action proposal
Jialin Gao, Zhixiang Shi, Jiani Li +3
In this technical report, we describe our solution to temporal action proposal (task 1) in ActivityNet Challenge 2019. First, we fine-tune a ResNet-50-C3D CNN on ActivityNet v1.3 b…
Continual Match Based Training in Pommerman: Technical Report
Peng Peng, Liang Pang, Yufeng Yuan +1
Continual learning is the ability of agents to improve their capacities throughout multiple tasks continually. While recent works in the literature of continual learning mostly foc…
Meta Reinforcement Learning with Distribution of Exploration Parameters Learned by Evolution Strategies
Yiming Shen, Kehan Yang, Yufeng Yuan +1
In this paper, we propose a novel meta-learning method in a reinforcement learning setting, based on evolution strategies (ES), exploration in parameter space and deterministic pol…