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ORCIDLogan Michael Yliniemi
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2020 – today
- 2021
[j7]Santosh Balajee Banisetty, Scott Forer, Logan Yliniemi, Monica N. Nicolescu, David Feil-Seifer
:
Socially Aware Navigation: A Non-linear Multi-objective Optimization Approach. ACM Trans. Interact. Intell. Syst. 11(2): 15:1-15:26 (2021)
2010 – 2019
- 2019
- [c14]Nicholas Zerbel, Logan Yliniemi:
Multiagent Monte Carlo Tree Search. AAMAS 2019: 2309-2311 - [i1]Santosh Balajee Banisetty, Scott Forer, Logan Michael Yliniemi, Monica N. Nicolescu, David Feil-Seifer:
Socially-Aware Navigation: A Non-linear Multi-Objective Optimization Approach. CoRR abs/1911.04037 (2019) - 2018
- [c13]Steven King, Scott Forer, Adarsh Kesireddy, Logan Michael Yliniemi:
Surrogate Difference Evaluations with Limited Peer to Peer Communications. AAMAS 2018: 1980-1982 - [c12]Scott Forer, Santosh Balajee Banisetty, Logan Michael Yliniemi, Monica N. Nicolescu, David Feil-Seifer:
Socially-Aware Navigation Using Non-Linear Multi-Objective Optimization. IROS 2018: 1-9 - 2017
- [j6]Daan Bloembergen, Tim Brys, Logan Yliniemi:
Preface to the special issue: adaptive and learning agents. Knowl. Eng. Rev. 32: e17 (2017) - [j5]Sierra A. Adibi, Scott Forer, Jeremy Fries, Logan Michael Yliniemi:
Autonomous Unmanned Aerial Vehicle (UAV) landing in windy conditions with MAP-Elites. Knowl. Eng. Rev. 32: e20 (2017) - [c11]Scott Forer, Logan Michael Yliniemi:
Monopolies can exist in unmanned airspace. GECCO 2017: 1105-1112 - 2016
- [j4]Mitchell K. Colby, Logan Michael Yliniemi, Kagan Tumer:
Autonomous Multiagent Space Exploration with High-Level Human Feedback. J. Aerosp. Inf. Syst. 13(8): 301-315 (2016) - [j3]Logan Michael Yliniemi, Kagan Tumer:
Multi-objective multiagent credit assignment in reinforcement learning and NSGA-II. Soft Comput. 20(10): 3869-3887 (2016) - [c10]Logan Michael Yliniemi, Kagan Tumer:
Using Awareness to Promote Richer, More Human-Like Behaviors in Artificial Agents. AAMAS Workshops (Visionary Papers) 2016: 122-133 - [c9]Mitchell K. Colby, Logan Michael Yliniemi, Paolo Pezzini, David Tucker, Kenneth Mark Bryden, Kagan Tumer:
Multiobjective Neuroevolutionary Control for a Fuel Cell Turbine Hybrid Energy System. GECCO 2016: 877-884 - 2015
- [j2]Logan Michael Yliniemi, Adrian K. Agogino, Kagan Tumer:
Simulation of the introduction of new technologies in air traffic management. Connect. Sci. 27(3): 269-287 (2015) - [c8]Logan Michael Yliniemi, Drew Wilson, Kagan Tumer:
Multi-Objective Multiagent Credit Assignment in NSGA-II Using Difference Evaluations. AAMAS 2015: 1635-1636 - [c7]Logan Michael Yliniemi, Kagan Tumer:
Complete Multi-Objective Coverage with PaCcET. GECCO (Companion) 2015: 1525-1526 - 2014
- [j1]Logan Michael Yliniemi, Adrian K. Agogino, Kagan Tumer:
Multirobot Coordination for Space Exploration. AI Mag. 35(4): 61-74 (2014) - [c6]Sam Devlin, Logan Michael Yliniemi, Daniel Kudenko, Kagan Tumer:
Potential-based difference rewards for multiagent reinforcement learning. AAMAS 2014: 165-172 - [c5]Logan Michael Yliniemi:
Considerations for multiagent multi-objective systems. AAMAS 2014: 1719-1720 - [c4]Logan Michael Yliniemi, Adrian K. Agogino, Kagan Tumer:
Evolutionary agent-based simulation of the introduction of new technologies in air traffic management. GECCO 2014: 1215-1222 - [c3]Logan Michael Yliniemi, Kagan Tumer:
PaCcET: An Objective Space Transformation to Iteratively Convexify the Pareto Front. SEAL 2014: 204-215 - [c2]Logan Michael Yliniemi, Kagan Tumer:
Multi-objective Multiagent Credit Assignment Through Difference Rewards in Reinforcement Learning. SEAL 2014: 407-418 - 2013
- [c1]Logan Michael Yliniemi, Kagan Tumer:
Elo Ratings for Structural Credit Assignment in Multiagent Systems. AAAI (Late-Breaking Developments) 2013
Coauthor Index
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