Browse by Subject reinforcement learning

Showing results 46 to 71 of 71

46
Online Gaussian Process State-space Model: Learning and Planning for Partially Observable Dynamical Systems

Park, Soon-Seo; Park, Young-Jin; Min, Youngjae; Choi, Han-Lim, INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, v.20, no.2, pp.601 - 617, 2022-02

47
Online neural Q-Learning using heuristic weight assignment algorithm and optimization method = 휴리스틱한 가중치 배당 알고리즘과 최적화 방법을 이용한 온라인 Neural Q-Learninglink

Kim, Yeon-Seob; 김연섭; et al, 한국과학기술원, 2013

48
Optimal Design of Wireless Charging Electric Bus System Based on Reinforcement Learning

LEE, HYUKJOON; Ji, Dong Jin; Cho, Dong-Ho, ENERGIES, v.12, no.7, 2019-04

49
Optogenetic control of dopamine neurons for operant reinforcement in mice = 쥐의 도파민 뉴런에 대한 광유전학 조절을 통한 조작적 강화link

Kim, Kyung-Man; 김경만; et al, 한국과학기술원, 2012

50
Path optimization for a marine vehicle using reinforcement learning = 강화학습 기법을 이용한 해양운동체의 경로 최적화link

Yoo, Byung-Hyun; 유병현; et al, 한국과학기술원, 2013

51
Physical factors that differentiate body kinematics between treadmill and overground walking

Jung, Mingi; Koo, Seungbum, FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY, v.10, 2022-08

52
Practical Q-Learning-Based Route-Guidance and Vehicle Assignment for OHT Systems in Semiconductor Fabs

Hong, Sangpyo; Hwang, Illhoe; Jang, Young Jae, IEEE TRANSACTIONS ON SEMICONDUCTOR MANUFACTURING, v.35, no.3, pp.385 - 396, 2022-08

53
Primal-Dual Q-Learning Framework for LQR Design

Lee, Donghwan; Hu, Jianghai, IEEE TRANSACTIONS ON AUTOMATIC CONTROL, v.64, no.9, pp.3756 - 3763, 2019-09

54
Reinforcement learning based base station cooperation scheme in mobile networks = 이동망에서 강화 학습을 이용한 기지국 협력 방안link

Chung, Byung-Chang; 정병창; et al, 한국과학기술원, 2013

55
Reinforcement learning for robotic flow shop scheduling with processing time variations

Lee, Jun-Ho; Kim, Hyun-Jung, INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, v.60, no.7, pp.2346 - 2368, 2022-04

56
Retro-RL: Reinforcing Nominal Controller with Deep Reinforcement Learning for Tilting-Rotor Drones

Nahrendra, I. Made Aswin; Tirtawardhana, Christian; Yu, Byeongho; Lee, Eungchang Mason; Myung, Hyun, IEEE ROBOTICS AND AUTOMATION LETTERS, v.7, no.4, pp.9004 - 9011, 2022-10

57
ReveNAND: A Fast-Drift-Aware Resilient 3D NAND Flash Design

Shihab, Mustafa M.; Zhang, Jie; Jung, Myoungsoo; Kandemir, Mahmut, ACM TRANSACTIONS ON ARCHITECTURE AND CODE OPTIMIZATION, v.15, no.2, 2018-06

58
Rewards Prediction-Based Credit Assignment for Reinforcement Learning With Sparse Binary Rewards

Seo, Minah; Vecchietti, Luiz Felipe; Lee, Sangkeum; Har, Dongsoo, IEEE ACCESS, v.7, pp.118776 - 118791, 2019-08

59
Role of dopamine D2 receptors in optimizing choice strategy in a dynamic and uncertain environment

Kwak, Shinae; Huh, Namjung; Seo, Ji-Seon; Lee, Jung-Eun; Han, Pyung-Lim; Jung, MinWhan, FRONTIERS IN BEHAVIORAL NEUROSCIENCE, v.8, 2014-10

60
Scheduling PID Attitude and Position Control Frequencies for Time-Optimal Quadrotor Waypoint Tracking under Unknown External Disturbances

Kang, Cheongwoong; Park, Bumjin; Choi, Jaesik, SENSORS, v.22, no.1, 2022-01

61
Semi-dynamic Cell-Clustering Algorithm Based on Reinforcement Learning in Cooperative Transmission System

Chung, Byung Chang; Cho, Dong-Ho, IEEE SYSTEMS JOURNAL, v.12, no.4, pp.3853 - 3856, 2018-12

62
Simulation-based learning of cost-to-go for control of nonlinear processes

Lee, JM; Lee, JayHyung, KOREAN JOURNAL OF CHEMICAL ENGINEERING, v.21, no.2, pp.338 - 344, 2004-03

63
Spatially and temporally extended state space for multilayered reinforcement learning in cognitive developmental robot = 인지 발달 로봇을 위한 다계층 강화학습의 시공간적으로 확장된 상태공간link

Yang, Jeong-Yean; 양정연; et al, 한국과학기술원, 2011

64
Structural Optimization of a One-Dimensional Freeform Metagrating Deflector via Deep Reinforcement Learning

Seo, Dongjin; Nam, Daniel Wontae; Park, Juho; Park, Chan Y.; Jang, Min Seok, ACS PHOTONICS, v.9, no.2, pp.452 - 458, 2021-12

65
Synaptic plasticity model of a spiking neural network for reinforcement learning

Lee, K; Kwon, Dong-Soo, NEUROCOMPUTING, v.71, no.13-15, pp.3037 - 3043, 2008-08

66
Transient activation of midbrain dopamine neurons by reward risk.

Fiorillo, Christopher D., NEUROSCIENCE, v.197, pp.162 - 171, 2011-12

67
Utilizing Skipped Frames in Action Repeats for Improving Sample Efficiency in Reinforcement Learning

Luu, Tung M.; Nguyen, Thanh; Vu, Thang; Yoo, Chang-Dong, IEEE ACCESS, v.10, pp.64965 - 64975, 2022

68
강화 학습을 이용한 비전 기반의강인한 손 모양 인식에 대한 연구

장효영; 변증남, 전자공학회논문지 - CI, v.43, no.3, pp.39 - 49, 2006-05

69
강화학습에 기반한 이족보행 패턴에 대한 연구 = A study on bipedal walking pattern based on the reinforcement learninglink

한상훈; Sanghoon Han; 김수현; SooHyun Kim; et al, 한국과학기술원, 2015

70
심층 강화학습기반 연속상태공간 제어를 위한 보상 함수 분석

강민구; 김기응, 정보과학회논문지, v.47, no.1, pp.78 - 87, 2020-01

71
제약을 갖는 POMDP를 위한 휴리스틱 검색 가치 반복 알고리즘 = Heuristic search value iteration for constrained POMDPslink

고봉석; Goh, Bong-Seok; et al, 한국과학기술원, 2013

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