Nat Dilokthanakul

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 20

Top Topics

Cooperative Agents

Quadruped Robot

Reinforcement Learning

Gaussian Mixture

Top Venues

IEEE Robotics Autom. Lett.

IEEE J. Biomed. Health Informatics

IEEE Trans. Neural Networks Learn. Syst.

Publications

Yanbin Zhang, Mathias Thor, Nat Dilokthanakul, Zhendong Dai, Poramate Manoonpong
Hybrid learning mechanisms under a neural control network for various walking speed generation of a quadruped robot. Neural Networks 167 (2023)
Rujikorn Charakorn, Poramate Manoonpong, Nat Dilokthanakul
Generating Diverse Cooperative Agents by Learning Incompatible Policies. ICLR (2023)
Sujet Phodapol, Thirawat Chuthong, Binggwong Leung, Arthicha Srisuchinnawong, Poramate Manoonpong, Nat Dilokthanakul
GRAB: GRAdient-Based Shape-Adaptive Locomotion Control. IEEE Robotics Autom. Lett. 7 (2) (2022)
Phairot Autthasan, Rattanaphon Chaisaen, Thapanun Sudhawiyangkul, Phurin Rangpong, Suktipol Kiatthaveephong, Nat Dilokthanakul, Gun Bhakdisongkhram, Huy Phan, Cuntai Guan, Theerawit Wilaiprasitporn
MIN2Net: End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification. IEEE Trans. Biomed. Eng. 69 (6) (2022)
Guntitat Sawadwuthikul, Tanyatep Tothong, Thanawat Lodkaew, Puchong Soisudarat, Sarana Nutanong, Poramate Manoonpong, Nat Dilokthanakul
Visual Goal Human-Robot Communication Framework With Few-Shot Learning: A Case Study in Robot Waiter System. IEEE Trans. Ind. Informatics 18 (3) (2022)
Rujikorn Charakorn, Poramate Manoonpong, Nat Dilokthanakul
Learning to Cooperate with Unseen Agents Through Meta-Reinforcement Learning. AAMAS (2021)
Nannapas Banluesombatkul, Pichayoot Ouppaphan, Pitshaporn Leelaarporn, Payongkit Lakhan, Busarakum Chaitusaney, Nattapong Jaimchariyatam, Ekapol Chuangsuwanich, Wei Chen, Huy Phan, Nat Dilokthanakul, Theerawit Wilaiprasitporn
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 25 (6) (2021)
Maytus Piriyajitakonkij, Sirawaj Itthipuripat, Theerawit Wilaiprasitporn, Nat Dilokthanakul
Deep Reinforcement Learning Models Predict Visual Responses in the Brain: A Preliminary Result. CoRR (2021)
Phairot Autthasan, Rattanaphon Chaisaen, Thapanun Sudhawiyangkul, Phurin Rangpong, Suktipol Kiatthaveephong, Nat Dilokthanakul, Gun Bhakdisongkhram, Huy Phan, Cuntai Guan, Theerawit Wilaiprasitporn
MIN2Net: End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification. CoRR (2021)
Rujikorn Charakorn, Poramate Manoonpong, Nat Dilokthanakul
Learning to Cooperate with Unseen Agent via Meta-Reinforcement Learning. CoRR (2021)
Kongkiat Rothomphiwat, Atthanat Harnkhamen, Tanyatep Tothong, Tachadol Suthisomboon, Nat Dilokthanakul, Poramate Manoonpong
Advanced Collaborative Robots for the Factory of the Future. SII (2021)
Rujikorn Charakorn, Poramate Manoonpong, Nat Dilokthanakul
Investigating Partner Diversification Methods in Cooperative Multi-agent Deep Reinforcement Learning. ICONIP (5) (2020)
Nannapas Banluesombatkul, Pichayoot Ouppaphan, Pitshaporn Leelaarporn, Payongkit Lakhan, Busarakum Chaitusaney, Nattapong Jaimchariyatam, Ekapol Chuangsuwanich, Nat Dilokthanakul, Theerawit Wilaiprasitporn
MetaSleepLearner: Fast Adaptation of Bio-signals-Based Sleep Stage Classifier to New Individual Subject Using Meta-Learning. CoRR (2020)
Thirawat Chuthong, Binggwong Leung, Kawee Tiraborisute, Potiwat Ngamkajornwiwat, Poramate Manoonpong, Nat Dilokthanakul
Dynamical State Forcing on Central Pattern Generators for Efficient Robot Locomotion Control. ICONIP (2) (2020)
Rujikorn Charakorn, Yuttapong Thawornwattana, Sirawaj Itthipuripat, Nick Pawlowski, Poramate Manoonpong, Nat Dilokthanakul
An Explicit Local and Global Representation Disentanglement Framework with Applications in Deep Clustering and Unsupervised Object Detection. CoRR (2020)
Nat Dilokthanakul, Christos Kaplanis, Nick Pawlowski, Murray Shanahan
Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 30 (11) (2019)
Nat Dilokthanakul, Murray Shanahan
Deep Reinforcement Learning with Risk-Seeking Exploration. SAB (2018)
Nat Dilokthanakul, Christos Kaplanis, Nick Pawlowski, Murray Shanahan
Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning. CoRR (2017)
Nat Dilokthanakul, Pedro A. M. Mediano, Marta Garnelo, Matthew C. H. Lee, Hugh Salimbeni, Kai Arulkumaran, Murray Shanahan
Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders. CoRR (2016)
Kai Arulkumaran, Nat Dilokthanakul, Murray Shanahan, Anil Anthony Bharath
Classifying Options for Deep Reinforcement Learning. CoRR (2016)