Kai Arulkumaran

49 papers A* 1A 1B 1C 2Journal 34Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	A Silent Speech Decoding System from EEG and EMG with Heterogenous Electrode Configurations. INTERSPEECH Masakazu Inoue, Motoshige Sato, Kenichi Tomeoka, Nathania Nah, Eri Hatakeyama, Kai Arulkumaran, Ilya Horiguchi, Shuntaro Sasai
2025	J	`jnl`	A Silent Speech Decoding System from EEG and EMG with Heterogenous Electrode Configurations. CoRR Masakazu Inoue, Motoshige Sato, Kenichi Tomeoka, Nathania Nah, Eri Hatakeyama, Kai Arulkumaran, Ilya Horiguchi, Shuntaro Sasai
2025	J	`jnl`	A multi-user multi-robot multi-goal multi-device human-robot interaction manipulation benchmark. Frontiers Robotics AI Akito Yoshida, Rousslan Fernand Julien Dossa, Marina Di Vincenzo, Shivakanth Sujit, Hannah Douglas, Kai Arulkumaran
2025	—	`conf`	Improving Low-Cost Teleoperation: Augmenting GELLO with Force. SII Shivakanth Sujit, Luca Nunziante, Dan Ogawa Lillrank, Rousslan Fernand Julien Dossa, Kai Arulkumaran
2025	J	`jnl`	Improving Low-Cost Teleoperation: Augmenting GELLO with Force. CoRR Shivakanth Sujit, Luca Nunziante, Dan Ogawa Lillrank, Rousslan Fernand Julien Dossa, Kai Arulkumaran
2024	J	`jnl`	A comparison of visual and auditory EEG interfaces for robot multi-stage task control. Frontiers Robotics AI Kai Arulkumaran, Marina Di Vincenzo, Rousslan Fernand Julien Dossa, Shogo Akiyama, Dan Ogawa Lillrank, Motoshige Sato, Kenichi Tomeoka, Shuntaro Sasai
2024	J	`jnl`	Design and evaluation of a global workspace agent embodied in a realistic multimodal environment. Frontiers Comput. Neurosci. Rousslan Fernand Julien Dossa, Kai Arulkumaran, Arthur Juliani, Shuntaro Sasai, Ryota Kanai
2024	J	`jnl`	Preference-Learning Emitters for Mixed-Initiative Quality-Diversity Algorithms. IEEE Trans. Games Roberto Gallotta, Kai Arulkumaran, Lisa B. Soros
2024	J	`jnl`	Scaling Law in Neural Data: Non-Invasive Speech Decoding with 175 Hours of EEG Data. CoRR Motoshige Sato, Kenichi Tomeoka, Ilya Horiguchi, Kai Arulkumaran, Ryota Kanai, Shuntaro Sasai
2023	C	`conf`	A Pragmatic Look at Deep Imitation Learning. ACML Kai Arulkumaran, Dan Ogawa Lillrank
2022	J	`jnl`	All You Need Is Supervised Learning: From Imitation Learning to Meta-RL With Upside Down RL. CoRR Kai Arulkumaran, Dylan R. Ashley, Jürgen Schmidhuber, Rupesh Kumar Srivastava
2022	J	`jnl`	Analysing deep reinforcement learning agents trained with domain randomisation. Neurocomputing Tianhong Dai, Kai Arulkumaran, Tamara Gerbert, Samyakh Tukra, Feryal M. P. Behbahani, Anil Anthony Bharath
2022	—	`conf`	Evolving spaceships with a hybrid L-system constrained optimisation evolutionary algorithm. GECCO Companion Roberto Gallotta, Kai Arulkumaran, Lisa B. Soros
2022	J	`jnl`	Learning Relative Return Policies With Upside-Down Reinforcement Learning. CoRR Dylan R. Ashley, Kai Arulkumaran, Jürgen Schmidhuber, Rupesh Kumar Srivastava
2022	—	`conf`	Minimal criterion artist collective. GECCO Companion Kai Arulkumaran, Thu Nguyen-Phuoc
2022	J	`jnl`	On the link between conscious function and general intelligence in humans and machines. CoRR Arthur Juliani, Kai Arulkumaran, Shuntaro Sasai, Ryota Kanai
2022	J	`jnl`	On the link between conscious function and general intelligence in humans and machines. Trans. Mach. Learn. Res. Arthur Juliani, Kai Arulkumaran, Shuntaro Sasai, Ryota Kanai
2022	J	`jnl`	Preference-Learning Emitters for Mixed-Initiative Quality-Diversity Algorithms. CoRR Roberto Gallotta, Kai Arulkumaran, Lisa B. Soros
2022	C	`conf`	Surrogate Infeasible Fitness Acquirement FI-2Pop for Procedural Content Generation. CoG Roberto Gallotta, Kai Arulkumaran, Lisa B. Soros
2022	J	`jnl`	Surrogate Infeasible Fitness Acquirement FI-2Pop for Procedural Content Generation. CoRR Roberto Gallotta, Kai Arulkumaran, Lisa B. Soros
2021	J	`jnl`	A Pragmatic Look at Deep Imitation Learning. CoRR Kai Arulkumaran, Dan Ogawa Lillrank
2021	—	`conf`	Diversity-Based Trajectory and Goal Selection with Hindsight Experience Replay. PRICAI (3) Tianhong Dai, Hengyan Liu, Kai Arulkumaran, Guangyu Ren, Anil Anthony Bharath
2021	J	`jnl`	Diversity-based Trajectory and Goal Selection with Hindsight Experience Replay. CoRR Tianhong Dai, Hengyan Liu, Kai Arulkumaran, Guangyu Ren, Anil Anthony Bharath
2021	J	`jnl`	The Societal Implications of Deep Reinforcement Learning. J. Artif. Intell. Res. Jess Whittlestone, Kai Arulkumaran, Matthew Crosby
2020	—	`conf`	EczemaNet: Automating Detection and Severity Assessment of Atopic Dermatitis. MLMI@MICCAI Kevin Pan, Guillem Hurault, Kai Arulkumaran, Hywel C. Williams, Reiko J. Tanaka
2020	B	`conf`	Incorporating Human Priors into Deep Reinforcement Learning for Robotic Control. ESANN Manon Flageat, Kai Arulkumaran, Anil A. Bharath
2020	J	`jnl`	Privileged Information Dropout in Reinforcement Learning. CoRR Pierre-Alexandre Kamienny, Kai Arulkumaran, Feryal M. P. Behbahani, Wendelin Boehmer, Shimon Whiteson
2020	—	`—`	Sample efficiency, transfer learning and interpretability for deep reinforcement learning. Kai Arulkumaran
2019	—	`conf`	A Maximum Entropy Deep Reinforcement Learning Neural Tracker. MLMI@MICCAI Shafa Balaram, Kai Arulkumaran, Tianhong Dai, Anil Anthony Bharath
2019	A*	`conf`	Adaptive Neural Trees. ICML Ryutaro Tanno, Kai Arulkumaran, Daniel C. Alexander, Antonio Criminisi, Aditya V. Nori
2019	J	`jnl`	AlphaStar: An Evolutionary Computation Perspective. CoRR Kai Arulkumaran, Antoine Cully, Julian Togelius
2019	—	`conf`	AlphaStar: an evolutionary computation perspective. GECCO (Companion) Kai Arulkumaran, Antoine Cully, Julian Togelius
2019	J	`jnl`	Analysing Deep Reinforcement Learning Agents Trained with Domain Randomisation. CoRR Tianhong Dai, Kai Arulkumaran, Samyakh Tukra, Feryal M. P. Behbahani, Anil Anthony Bharath
2019	—	`conf`	Deep Reinforcement Learning for Subpixel Neural Tracking. MIDL Tianhong Dai, Magda Dubois, Kai Arulkumaran, Jonathan Campbell, Cher Bass, Benjamin Billot, Fatmatülzehra Uslu, Vincenzo De Paola, Claudia Clopath, Anil Anthony Bharath
2019	—	`conf`	Image Synthesis with a Convolutional Capsule Generative Adversarial Network. MIDL Cher Bass, Tianhong Dai, Benjamin Billot, Kai Arulkumaran, Antonia Creswell, Claudia Clopath, Vincenzo De Paola, Anil Anthony Bharath
2019	J	`jnl`	Memory-Efficient Episodic Control Reinforcement Learning with Dynamic Online k-means. CoRR Andrea Agostinelli, Kai Arulkumaran, Marta Sarrico, Pierre Richemond, Anil Anthony Bharath
2019	J	`jnl`	Sample-Efficient Reinforcement Learning with Maximum Entropy Mellowmax Episodic Control. CoRR Marta Sarrico, Kai Arulkumaran, Andrea Agostinelli, Pierre Richemond, Anil Anthony Bharath
2018	J	`jnl`	Adaptive Neural Trees. CoRR Ryutaro Tanno, Kai Arulkumaran, Daniel C. Alexander, Antonio Criminisi, Aditya V. Nori
2018	J	`jnl`	Generative Adversarial Networks: An Overview. IEEE Signal Process. Mag. Antonia Creswell, Tom White, Vincent Dumoulin, Kai Arulkumaran, Biswa Sengupta, Anil A. Bharath
2018	J	`jnl`	Variational Inference for Data-Efficient Model Learning in POMDPs. CoRR Sebastian Tschiatschek, Kai Arulkumaran, Jan Stühmer, Katja Hofmann
2017	J	`jnl`	A Brief Survey of Deep Reinforcement Learning. CoRR Kai Arulkumaran, Marc Peter Deisenroth, Miles Brundage, Anil Anthony Bharath
2017	J	`jnl`	Deep Reinforcement Learning: A Brief Survey. IEEE Signal Process. Mag. Kai Arulkumaran, Marc Peter Deisenroth, Miles Brundage, Anil Anthony Bharath
2017	J	`jnl`	Generative Adversarial Networks: An Overview. CoRR Antonia Creswell, Tom White, Vincent Dumoulin, Kai Arulkumaran, Biswa Sengupta, Anil A. Bharath
2017	J	`jnl`	On denoising autoencoders trained to minimise binary cross-entropy. CoRR Antonia Creswell, Kai Arulkumaran, Anil A. Bharath
2016	J	`jnl`	An assistive haptic interface for appearance-based indoor navigation. Comput. Vis. Image Underst. Jose Rivera-Rubio, Kai Arulkumaran, Hemang Rishi, Ioannis Alexiou, Anil A. Bharath
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
2016	J	`jnl`	Improving Sampling from Generative Autoencoders with Markov Chains. CoRR Kai Arulkumaran, Antonia Creswell, Anil Anthony Bharath
2016	J	`jnl`	Towards Deep Symbolic Reinforcement Learning. CoRR Marta Garnelo, Kai Arulkumaran, Murray Shanahan