activity
19982026
most citedOpinion dynamics of random-walking agents on a lattice

4 citations · 5 across the 4 of their papers we have counts for

collaborators

10 papers

cs.RO2026

MPC-Injection: Biasing Off-Policy Locomotion RL Toward Controller-Induced Behavior Basins

Roy Xing, Seyoung Ree, Brian Plancher

Reinforcement learning (RL) for locomotion frequently converges to locally optimal but undeployable behaviors, such as vibrating limbs or scooting on the torso, that maximize retur…

physics.soc-ph2012

Dynamics of periodic node states on a model of static networks with repeated-averaging rules

Suhan Ree

We introduce a simple model of static networks, where nodes are located on a ring structure, and two accompanying dynamic rules of repeated averaging on periodic node states. We as…

cond-mat.stat-mech2011★ 1 cited

Effects of long-range links on metastable states in a dynamic interaction network

Suhan Ree

We introduce a model for random-walking nodes on a periodic lattice, where the dynamic interaction network is defined from local interactions and E randomly-added long-range links.…

physics.soc-ph2011★ 4 cited

Opinion dynamics of random-walking agents on a lattice

Suhan Ree

Opinion dynamics of random-walking agents on finite two-dimensional lattices is studied. In the model, the opinion is continuous, and both the lattice and the opinion can be either…

cond-mat.stat-mech2006

Generation of scale-free networks using a simple preferential rewiring dynamics

Suhan Ree

We propose a simple dynamical model that generates networks with power-law degree distributions with the exponent 2 through rewiring only. At each time step, two nodes, i and j, ar…

cond-mat.stat-mech2005

Power-law distributions from additive preferential redistributions

Suhan Ree

We introduce a non-growth model that generates the power-law distribution with the Zipf exponent. There are N elements, each of which is characterized by a quantity, and at each ti…