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ORCIDHarukazu Igarashi
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2020 – today
- 2020
[i2]Seiji Ishihara, Harukazu Igarashi:
Policy Gradient Reinforcement Learning for Policy Represented by Fuzzy Rules: Application to Simulations of Speed Control of an Automobile. CoRR abs/2009.02083 (2020)
2010 – 2019
- 2019
- [i1]Harukazu Igarashi, Yuichi Morioka, Kazumasa Yamamoto:
Learning Position Evaluation Functions Used in Monte Carlo Softmax Search. CoRR abs/1901.10706 (2019) - 2011
- [c11]Seiji Ishihara, Harukazu Igarashi:
Policy Gradient Reinforcement Learning with Environmental Dynamics and Action-Values in Policies. KES (1) 2011: 120-130
2000 – 2009
- 2008
- [c10]Harukazu Igarashi, Kouji Nakamura, Seiji Ishihara:
Learning of soccer player agents using a policy gradient method: Coordination between kicker and receiver during free kicks. IJCNN 2008: 46-52 - [c9]Seiji Ishihara, Harukazu Igarashi:
Behavior Learning Based on a Policy Gradient Method: Separation of Environmental Dynamics and State Values in Policies. PRICAI 2008: 164-174 - 2006
- [j7]Seiji Ishihara, Harukazu Igarashi:
Applying the policy gradient method to behavior learning in multiagent systems: The pursuit problem. Syst. Comput. Jpn. 37(10): 101-109 (2006) - [c8]Seiji Ishihara, Harukazu Igarashi:
A Task Decomposition Algorithm Using Mixtures of Normal Distributions for Classification Problems. HIS 2006: 28 - 2005
- [c7]Seiji Ishihara, Harukazu Igarashi:
A Task Decomposition Algorithm Using Radial Basis Functions for Classification Problems. DICTA 2005: 2 - 2003
- [j6]Harukazu Igarashi, Kiyoshi Ioi:
Navigation of a mobile robot formulated in terms of discrete optimization problems. Syst. Comput. Jpn. 34(6): 59-68 (2003) - [c6]Seiji Ishihara, Harukazu Igarashi:
Policy Gradient Methods in Multi-Agent Systems. HIS 2003: 789-798 - 2002
- [j5]Harukazu Igarashi:
Path planning of a mobile robot by optimization and reinforcement learning. Artif. Life Robotics 6(1-2): 59-65 (2002) - [j4]Kiyoshi Ioi, Harukazu Igarashi, Ayanobu Murakami:
Design of a gravitational wheeled robot. Adv. Robotics 16(8): 785-793 (2002) - 2001
- [j3]Harukazu Igarashi, Kiyoshi Ioi:
Path-planning and navigation of a mobile robot as discrete optimization problems. Artif. Life Robotics 5(2): 72-76 (2001) - 2000
- [c5]Harukazu Igarashi:
Path Planning of a Mobile Robot as a Discrete Optimization Problem an Adjustment of Weight Parameters in the Objective Function by Reinforcement Learning. RoboCup 2000: 315-320 - [c4]Harukazu Igarashi, Yusuke Yamauchi, Shuichi Iidoi:
RoboCup 2000 Simulation League: Team KU-Yam2000. RoboCup 2000: 445-448
1990 – 1999
- 1999
- [c3]Harukazu Igarashi, Shougo Kosue, Takashi Sakurai:
RoboCup-99 Simulation League: Team KU-Sakura2. RoboCup 1999: 596-599 - 1998
- [c2]Harukazu Igarashi, Shougo Kosue, Masatoshi Miyahara:
Individual Tactical Play and Pass with Communication between Players - Team descriptions of Team Miya2. RoboCup 1998: 364-370 - 1997
- [j2]Hideo Itoyama, Harukazu Igarashi, Hironao Kawashima:
Adjustment of term weights in an energy function used in the simulated annealing approach to vehicle scheduling problems. Syst. Comput. Jpn. 28(2): 1-10 (1997) - [c1]Harukazu Igarashi, Shougo Kosue, Masatoshi Miyahara, Toshiro Umaba:
Individual Tactical Play and Action Decision Based on a Short-Term Goal - Team Descriptions of Team Miya and Team Niken. RoboCup 1997: 420-427 - 1994
- [j1]Harukazu Igarashi:
A solution for combinational optimization problems using a two-layer random field model-mean-field approximation. Syst. Comput. Jpn. 25(8): 61-71 (1994)
Coauthor Index
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