activity
20152020
most citedRepresented Value Function Approach for Large Scale Multi Agent Reinforcement Learning

2 citations · 5 across the 6 of their papers we have counts for

collaborators

6 papers

cs.LG2020

Potential Field Guided Actor-Critic Reinforcement Learning

Weiya Ren

In this paper, we consider the problem of actor-critic reinforcement learning. Firstly, we extend the actor-critic architecture to actor-critic-N architecture by introducing more c…

cs.LG2020★ 2 cited

Represented Value Function Approach for Large Scale Multi Agent Reinforcement Learning

Weiya Ren

In this paper, we consider the problem of large scale multi agent reinforcement learning. Firstly, we studied the representation problem of the pairwise value function to reduce th…

cs.CV2019

Study of dynamical system based obstacle avoidance via manipulating orthogonal coordinates

Weiya Ren

In this paper, we consider the general problem of obstacle avoidance based on dynamical system. The modulation matrix is developed by introducing orthogonal coordinates, which make…

cs.CV2016★ 1 cited

Crowd collectiveness measure via graph-based node clique learning

Weiya Ren

Collectiveness motions of crowd systems have attracted a great deal of attentions in recently years. In this paper, we try to measure the collectiveness of a crowd system by the pr…

cs.CV2015★ 2 cited

Agglomerative clustering and collectiveness measure via exponent generating function

Wei-Ya Ren, Shuo-Hao Li, Qiang Guo +2

The key in agglomerative clustering is to define the affinity measure between two sets. A novel agglomerative clustering method is proposed by utilizing the path integral to define…

cs.LG2015

Semi-supervised Data Representation via Affinity Graph Learning

Weiya Ren

We consider the general problem of utilizing both labeled and unlabeled data to improve data representation performance. A new semi-supervised learning framework is proposed by com…