Nat Dilokthanakul

25 papers A* 2A 1Journal 16Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	$n$-LIPO: Framework for Diverse Cooperative Agent Generation Using Policy Compatibility. IEEE Trans. Artif. Intell. Rujikorn Charakorn, Poramate Manoonpong, Nat Dilokthanakul
2025	—	`conf`	Evaluation of Deep Learning Approaches for Pitch Scoring in Piano Practice and Performance. ICAIIC Juthakan Mekkoktanphira, Priyakorn Pangwapee, Nat Dilokthanakul, Sirasit Lochanachit, Praphan Pavarangkoon, Nont Kanungsukkasem
2024	J	`jnl`	A framework for visual-based adaptive object-robot interaction of a mobile service robot. Adapt. Behav. Puchong Soisudarat, Tanyatep Tothong, Kawee Tiraborisute, Nat Dilokthanakul, Poramate Manoonpong
2024	A*	`conf`	Diversity Is Not All You Need: Training A Robust Cooperative Agent Needs Specialist Partners. NeurIPS Rujikorn Charakorn, Poramate Manoonpong, Nat Dilokthanakul
2023	A*	`conf`	Generating Diverse Cooperative Agents by Learning Incompatible Policies. ICLR Rujikorn Charakorn, Poramate Manoonpong, Nat Dilokthanakul
2023	J	`jnl`	Hybrid learning mechanisms under a neural control network for various walking speed generation of a quadruped robot. Neural Networks Yanbin Zhang, Mathias Thor, Nat Dilokthanakul, Zhendong Dai, Poramate Manoonpong
2022	J	`jnl`	GRAB: GRAdient-Based Shape-Adaptive Locomotion Control. IEEE Robotics Autom. Lett. Sujet Phodapol, Thirawat Chuthong, Binggwong Leung, Arthicha Srisuchinnawong, Poramate Manoonpong, Nat Dilokthanakul
2022	J	`jnl`	MIN2Net: End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification. IEEE Trans. Biomed. Eng. Phairot Autthasan, Rattanaphon Chaisaen, Thapanun Sudhawiyangkul, Phurin Rangpong, Suktipol Kiatthaveephong, Nat Dilokthanakul, Gun Bhakdisongkhram, Huy Phan, Cuntai Guan, Theerawit Wilaiprasitporn
2022	J	`jnl`	Visual Goal Human-Robot Communication Framework With Few-Shot Learning: A Case Study in Robot Waiter System. IEEE Trans. Ind. Informatics Guntitat Sawadwuthikul, Tanyatep Tothong, Thanawat Lodkaew, Puchong Soisudarat, Sarana Nutanong, Poramate Manoonpong, Nat Dilokthanakul
2021	—	`conf`	Advanced Collaborative Robots for the Factory of the Future. SII Kongkiat Rothomphiwat, Atthanat Harnkhamen, Tanyatep Tothong, Tachadol Suthisomboon, Nat Dilokthanakul, Poramate Manoonpong
2021	J	`jnl`	Deep Reinforcement Learning Models Predict Visual Responses in the Brain: A Preliminary Result. CoRR Maytus Piriyajitakonkij, Sirawaj Itthipuripat, Theerawit Wilaiprasitporn, Nat Dilokthanakul
2021	J	`jnl`	Learning to Cooperate with Unseen Agent via Meta-Reinforcement Learning. CoRR Rujikorn Charakorn, Poramate Manoonpong, Nat Dilokthanakul
2021	A	`conf`	Learning to Cooperate with Unseen Agents Through Meta-Reinforcement Learning. AAMAS Rujikorn Charakorn, Poramate Manoonpong, Nat Dilokthanakul
2021	J	`jnl`	MIN2Net: End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification. CoRR Phairot Autthasan, Rattanaphon Chaisaen, Thapanun Sudhawiyangkul, Phurin Rangpong, Suktipol Kiatthaveephong, Nat Dilokthanakul, Gun Bhakdisongkhram, Huy Phan, Cuntai Guan, Theerawit Wilaiprasitporn
2021	J	`jnl`	MetaSleepLearner: A Pilot Study on Fast Adaptation of Bio-Signals-Based Sleep Stage Classifier to New Individual Subject Using Meta-Learning. IEEE J. Biomed. Health Informatics Nannapas Banluesombatkul, Pichayoot Ouppaphan, Pitshaporn Leelaarporn, Payongkit Lakhan, Busarakum Chaitusaney, Nattapong Jaimchariyatam, Ekapol Chuangsuwanich, Wei Chen, Huy Phan, Nat Dilokthanakul, Theerawit Wilaiprasitporn
2020	J	`jnl`	An Explicit Local and Global Representation Disentanglement Framework with Applications in Deep Clustering and Unsupervised Object Detection. CoRR Rujikorn Charakorn, Yuttapong Thawornwattana, Sirawaj Itthipuripat, Nick Pawlowski, Poramate Manoonpong, Nat Dilokthanakul
2020	—	`conf`	Dynamical State Forcing on Central Pattern Generators for Efficient Robot Locomotion Control. ICONIP (2) Thirawat Chuthong, Binggwong Leung, Kawee Tiraborisute, Potiwat Ngamkajornwiwat, Poramate Manoonpong, Nat Dilokthanakul
2020	—	`conf`	Investigating Partner Diversification Methods in Cooperative Multi-agent Deep Reinforcement Learning. ICONIP (5) Rujikorn Charakorn, Poramate Manoonpong, Nat Dilokthanakul
2020	J	`jnl`	MetaSleepLearner: Fast Adaptation of Bio-signals-Based Sleep Stage Classifier to New Individual Subject Using Meta-Learning. CoRR Nannapas Banluesombatkul, Pichayoot Ouppaphan, Pitshaporn Leelaarporn, Payongkit Lakhan, Busarakum Chaitusaney, Nattapong Jaimchariyatam, Ekapol Chuangsuwanich, Nat Dilokthanakul, Theerawit Wilaiprasitporn
2019	J	`jnl`	Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. Nat Dilokthanakul, Christos Kaplanis, Nick Pawlowski, Murray Shanahan
2018	—	`conf`	Deep Reinforcement Learning with Risk-Seeking Exploration. SAB Nat Dilokthanakul, Murray Shanahan
2018	—	`—`	Towards better data efficiency in deep reinforcement learning. Nat Dilokthanakul
2017	J	`jnl`	Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning. CoRR Nat Dilokthanakul, Christos Kaplanis, Nick Pawlowski, Murray Shanahan
2016	J	`jnl`	Classifying Options for Deep Reinforcement Learning. CoRR Kai Arulkumaran, Nat Dilokthanakul, Murray Shanahan, Anil Anthony Bharath
2016	J	`jnl`	Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders. CoRR Nat Dilokthanakul, Pedro A. M. Mediano, Marta Garnelo, Matthew C. H. Lee, Hugh Salimbeni, Kai Arulkumaran, Murray Shanahan