Andrea Soltoggio

69 papers A* 2A 8B 2C 4Misc 1Journal 40Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Policy Search, Retrieval, and Composition via Task Similarity in Collaborative Agentic Systems. AAAI Saptarshi Nath, Christos Peridis, Eseoghene Benjamin, Xinran Liu, Soheil Kolouri, Peter Kinnell, Zexin Li, Cong Liu, Shirin Dora, Andrea Soltoggio
2025	J	`jnl`	Collaborative Learning in Agentic Systems: A Collective AI is Greater Than the Sum of Its Parts. CoRR Saptarshi Nath, Christos Peridis, Eseoghene Ben-Iwhiwhu, Xinran Liu, Soheil Kolouri, Peter Kinnell, Zexin Li, Cong Liu, Shirin Dora, Andrea Soltoggio
2025	J	`jnl`	Design of electric powertrains to achieve NVH performance using autoencoders and a physical meaningful latent space. Neural Comput. Appl. Marcos Ricardo Souza, Günter Offner, Andrea Soltoggio, Mahdi Mohammadpour, Stephanos Theodossiades
2025	J	`jnl`	Wasserstein task embedding for measuring task similarities. Neural Networks Xinran Liu, Yikun Bai, Yuzhe Lu, Andrea Soltoggio, Soheil Kolouri
2024	J	`jnl`	A collective AI via lifelong learning and sharing at the edge. Nat. Mac. Intell. Andrea Soltoggio, Eseoghene Ben-Iwhiwhu, Vladimir Braverman, Eric Eaton, Benjamin Epstein, Yunhao Ge, Lucy Halperin, Jonathan P. How, Laurent Itti, Michael A. Jacobs, Pavan Kantharaju, Long Le, Steven Lee, Xinran Liu, Sildomar T. Monteiro, David Musliner, Saptarshi Nath, Priyadarshini Panda, Christos Peridis, Hamed Pirsiavash, Vishwa S. Parekh, Kaushik Roy, Shahaf S. Shperberg, Hava T. Siegelmann, Peter Stone, Kyle Vedder, Jingfeng Wu, Lin Yang, Guangyao Zheng, Soheil Kolouri
2024	A	`conf`	SLoSH: Set Locality Sensitive Hashing via Sliced-Wasserstein Embeddings. WACV Yuzhe Lu, Xinran Liu, Andrea Soltoggio, Soheil Kolouri
2024	—	`conf`	Statistical Context Detection for Deep Lifelong Reinforcement Learning. CoLLAs Jeffery Dick, Saptarshi Nath, Christos Peridis, Eseoghene Ben-Iwhiwhu, Soheil Kolouri, Andrea Soltoggio
2024	J	`jnl`	Statistical Context Detection for Deep Lifelong Reinforcement Learning. CoRR Jeffery Dick, Saptarshi Nath, Christos Peridis, Eseoghene Ben-Iwhiwhu, Soheil Kolouri, Andrea Soltoggio
2024	J	`jnl`	Synaptic Modulation using Interspike Intervals Increases Energy Efficiency of Spiking Neural Networks. CoRR Dylan Adams, Magda Zajaczkowska, Ashiq Anjum, Andrea Soltoggio, Shirin Dora
2023	A	`conf`	$\mathrm{R}^{3}$: On-Device Real-Time Deep Reinforcement Learning for Autonomous Robotics. RTSS Zexin Li, Aritra Samanta, Yufei Li, Andrea Soltoggio, Hyoseung Kim, Cong Liu
2023	J	`jnl`	A Domain-Agnostic Approach for Characterization of Lifelong Learning Systems. CoRR Megan M. Baker, Alexander New, Mario Aguilar-Simon, Ziad Al-Halah, Sébastien M. R. Arnold, Eseoghene Ben-Iwhiwhu, Andrew P. Brna, Ethan Brooks, Ryan C. Brown, Zachary Daniels, Anurag Reddy Daram, Fabien Delattre, Ryan Dellana, Eric Eaton, Haotian Fu, Kristen Grauman, Jesse Hostetler, Shariq Iqbal, Cassandra Kent, Nicholas Ketz, Soheil Kolouri, George Dimitri Konidaris, Dhireesha Kudithipudi, Erik G. Learned-Miller, Seungwon Lee, Michael Littman, Sandeep Madireddy, Jorge A. Mendez, Eric Q. Nguyen, Christine D. Piatko, Praveen K. Pilly, Aswin Raghavan, Abrar Rahman, Santhosh Kumar Ramakrishnan, Neale Ratzlaff, Andrea Soltoggio, Peter Stone, Indranil Sur, Zhipeng Tang, Saket Tiwari, Kyle Vedder, Felix Wang, Zifan Xu, Angel Yanguas-Gil, Harel Yedidsion, Shangqun Yu, Gautam K. Vallabha
2023	J	`jnl`	A domain-agnostic approach for characterization of lifelong learning systems. Neural Networks Megan M. Baker, Alexander New, Mario Aguilar-Simon, Ziad Al-Halah, Sébastien M. R. Arnold, Eseoghene Ben-Iwhiwhu, Andrew P. Brna, Ethan Brooks, Ryan C. Brown, Zachary Daniels, Anurag Reddy Daram, Fabien Delattre, Ryan Dellana, Eric Eaton, Haotian Fu, Kristen Grauman, Jesse Hostetler, Shariq Iqbal, Cassandra Kent, Nicholas Ketz, Soheil Kolouri, George Konidaris, Dhireesha Kudithipudi, Erik G. Learned-Miller, Seungwon Lee, Michael Littman, Sandeep Madireddy, Jorge A. Mendez, Eric Q. Nguyen, Christine D. Piatko, Praveen K. Pilly, Aswin Raghavan, Abrar Rahman, Santhosh Kumar Ramakrishnan, Neale Ratzlaff, Andrea Soltoggio, Peter Stone, Indranil Sur, Zhipeng Tang, Saket Tiwari, Kyle Vedder, Felix Wang, Zifan Xu, Angel Yanguas-Gil, Harel Yedidsion, Shangqun Yu, Gautam K. Vallabha
2023	J	`jnl`	Lifelong Reinforcement Learning with Modulating Masks. Trans. Mach. Learn. Res. Eseoghene Ben-Iwhiwhu, Saptarshi Nath, Praveen K. Pilly, Soheil Kolouri, Andrea Soltoggio
2023	J	`jnl`	R^3: On-device Real-Time Deep Reinforcement Learning for Autonomous Robotics. CoRR Zexin Li, Aritra Samanta, Yufei Li, Andrea Soltoggio, Hyoseung Kim, Cong Liu
2023	—	`conf`	Sharing Lifelong Reinforcement Learning Knowledge via Modulating Masks. CoLLAs Saptarshi Nath, Christos Peridis, Eseoghene Ben-Iwhiwhu, Xinran Liu, Shirin Dora, Cong Liu, Soheil Kolouri, Andrea Soltoggio
2023	J	`jnl`	Sharing Lifelong Reinforcement Learning Knowledge via Modulating Masks. CoRR Saptarshi Nath, Christos Peridis, Eseoghene Ben-Iwhiwhu, Xinran Liu, Shirin Dora, Cong Liu, Soheil Kolouri, Andrea Soltoggio
2023	J	`jnl`	The configurable tree graph (CT-graph): measurable problems in partially observable and distal reward environments for lifelong reinforcement learning. CoRR Andrea Soltoggio, Eseoghene Ben-Iwhiwhu, Christos Peridis, Pawel Ladosz, Jeffery Dick, Praveen K. Pilly, Soheil Kolouri
2022	J	`jnl`	Biological underpinnings for lifelong learning machines. Nat. Mach. Intell. Dhireesha Kudithipudi, Mario Aguilar-Simon, Jonathan Babb, Maxim Bazhenov, Douglas Blackiston, Josh C. Bongard, Andrew P. Brna, Suraj Chakravarthi Raja, Nick Cheney, Jeff Clune, Anurag Reddy Daram, Stefano Fusi, Peter Helfer, Leslie Kay, Nicholas Ketz, Zsolt Kira, Soheil Kolouri, Jeffrey L. Krichmar, Sam Kriegman, Michael Levin, Sandeep Madireddy, Santosh Manicka, Ali Marjaninejad, Bruce McNaughton, Risto Miikkulainen, Zaneta Navratilova, Tej Pandit, Alice Parker, Praveen K. Pilly, Sebastian Risi, Terrence J. Sejnowski, Andrea Soltoggio, Nicholas Soures, Andreas S. Tolias, Darío Urbina-Meléndez, Francisco J. Valero Cuevas, Gido M. van de Ven, Joshua T. Vogelstein, Felix Wang, Ron Weiss, Angel Yanguas-Gil, Xinyun Zou, Hava T. Siegelmann
2022	J	`jnl`	Context meta-reinforcement learning via neuromodulation. Neural Networks Eseoghene Ben-Iwhiwhu, Jeffery Dick, Nicholas A. Ketz, Praveen K. Pilly, Andrea Soltoggio
2022	J	`jnl`	Deep Reinforcement Learning With Modulated Hebbian Plus Q-Network Architecture. IEEE Trans. Neural Networks Learn. Syst. Pawel Ladosz, Eseoghene Ben-Iwhiwhu, Jeffery Dick, Nicholas Ketz, Soheil Kolouri, Jeffrey L. Krichmar, Praveen K. Pilly, Andrea Soltoggio
2022	—	`conf`	Flexible Path Planning in a Spiking Model of Replay and Vicarious Trial and Error. SAB Jeffrey L. Krichmar, Nicholas A. Ketz, Praveen K. Pilly, Andrea Soltoggio
2022	J	`jnl`	Lifelong Reinforcement Learning with Modulating Masks. CoRR Eseoghene Ben-Iwhiwhu, Saptarshi Nath, Praveen K. Pilly, Soheil Kolouri, Andrea Soltoggio
2022	J	`jnl`	Wasserstein Task Embedding for Measuring Task Similarities. CoRR Xinran Liu, Yikun Bai, Yuzhe Lu, Andrea Soltoggio, Soheil Kolouri
2021	J	`jnl`	Context Meta-Reinforcement Learning via Neuromodulation. CoRR Eseoghene Ben-Iwhiwhu, Jeffery Dick, Nicholas A. Ketz, Praveen K. Pilly, Andrea Soltoggio
2021	J	`jnl`	Improving the segmentation of scanning probe microscope images using convolutional neural networks. Mach. Learn. Sci. Technol. Steff Farley, Jo E. A. Hodgkinson, Oliver M. Gordon, Joanna Turner, Andrea Soltoggio, Philip J. Moriarty, Eugénie Hunsicker
2021	J	`jnl`	SLOSH: Set LOcality Sensitive Hashing via Sliced-Wasserstein Embeddings. CoRR Yuzhe Lu, Xinran Liu, Andrea Soltoggio, Soheil Kolouri
2020	J	`jnl`	Detecting Changes and Avoiding Catastrophic Forgetting in Dynamic Partially Observable Environments. Frontiers Neurorobotics Jeffery Dick, Pawel Ladosz, Eseoghene Ben-Iwhiwhu, Hideyasu Shimadzu, Peter Kinnell, Praveen K. Pilly, Soheil Kolouri, Andrea Soltoggio
2020	J	`jnl`	Evolving Inborn Knowledge For Fast Adaptation in Dynamic POMDP Problems. CoRR Eseoghene Ben-Iwhiwhu, Pawel Ladosz, Jeffery Dick, Wen-Hua Chen, Praveen K. Pilly, Andrea Soltoggio
2020	A	`conf`	Evolving inborn knowledge for fast adaptation in dynamic POMDP problems. GECCO Eseoghene Ben-Iwhiwhu, Pawel Ladosz, Jeffery Dick, Wen-Hua Chen, Praveen K. Pilly, Andrea Soltoggio
2020	J	`jnl`	Fast and automated biomarker detection in breath samples with machine learning. CoRR Angelika Skarysz, Dahlia Salman, Michael Eddleston, Martin Sykora, Eugénie Hunsicker, William H. Nailon, Kareen Darnley, Duncan B. McLaren, C. L. Paul Thomas, Andrea Soltoggio
2020	J	`jnl`	Improving the Segmentation of Scanning Probe Microscope Images using Convolutional Neural Networks. CoRR Steff Farley, Jo E. A. Hodgkinson, Oliver M. Gordon, Joanna Turner, Andrea Soltoggio, Philip J. Moriarty, Eugénie Hunsicker
2020	A*	`conf`	Sliced Cramer Synaptic Consolidation for Preserving Deeply Learned Representations. ICLR Soheil Kolouri, Nicholas A. Ketz, Andrea Soltoggio, Praveen K. Pilly
2020	—	`conf`	Virtual Reality Study of Human Adaptability in Industrial Human-Robot Collaboration. ICHMS Piotr Fratczak, Yee Mey Goh, Peter Kinnell, Laura Justham, Andrea Soltoggio
2019	J	`jnl`	A Multi-Scale Mapping Approach Based on a Deep Learning CNN Model for Reconstructing High-Resolution Urban DEMs. CoRR Ling Jiang, Yang Hu, Xilin Xia, Qiuhua Liang, Andrea Soltoggio
2019	J	`jnl`	A fully convolutional two-stream fusion network for interactive image segmentation. Neural Networks Yang Hu, Andrea Soltoggio, Russell Lock, Steve Carter
2019	J	`jnl`	Deep Reinforcement Learning with Modulated Hebbian plus Q Network Architecture. CoRR Pawel Ladosz, Eseoghene Ben-Iwhiwhu, Yang Hu, Nicholas Ketz, Soheil Kolouri, Jeffrey L. Krichmar, Praveen K. Pilly, Andrea Soltoggio
2019	—	`conf`	Understanding Human Behaviour in Industrial Human-Robot Interaction by Means of Virtual Reality. HTTF Piotr Fratczak, Yee Mey Goh, Peter Kinnell, Andrea Soltoggio, Laura Justham
2018	J	`jnl`	A Fully Convolutional Two-Stream Fusion Network for Interactive Image Segmentation. CoRR Yang Hu, Andrea Soltoggio, Russell Lock, Steve Carter
2018	J	`jnl`	Born to learn: The inspiration, progress, and future of evolved plastic artificial neural networks. Neural Networks Andrea Soltoggio, Kenneth O. Stanley, Sebastian Risi
2018	B	`conf`	Convolutional neural networks for automated targeted analysis of raw gas chromatography-mass spectrometry data. IJCNN Angelika Skarysz, Yaser Alkhalifah, Kareen Darnley, Michael Eddleston, Yang Hu, Duncan B. McLaren, William H. Nailon, Dahlia Salman, Martin Sykora, C. L. Paul Thomas, Andrea Soltoggio
2018	A	`conf`	Distributed Strategy Adaptation with a Prediction Function in Multi-Agent Task Allocation. AAMAS Joanna Turner, Qinggang Meng, Gerald Schaefer, Andrea Soltoggio
2018	J	`jnl`	Distributed Task Rescheduling With Time Constraints for the Optimization of Total Task Allocations in a Multirobot System. IEEE Trans. Cybern. Joanna Turner, Qinggang Meng, Gerald Schaefer, Amanda Whitbrook, Andrea Soltoggio
2018	Misc	`conf`	Fast consensus for fully distributed multi-agent task allocation. SAC Joanna Turner, Qinggang Meng, Gerald Schaefer, Andrea Soltoggio
2017	J	`jnl`	Born to Learn: the Inspiration, Progress, and Future of Evolved Plastic Artificial Neural Networks. CoRR Andrea Soltoggio, Kenneth O. Stanley, Sebastian Risi
2017	—	`conf`	Building Efficient Deep Hebbian Networks for Image Classification Tasks. ICANN (1) Yanis Bahroun, Eugénie Hunsicker, Andrea Soltoggio
2017	—	`conf`	Neural Networks for Efficient Nonlinear Online Clustering. ICONIP (1) Yanis Bahroun, Eugénie Hunsicker, Andrea Soltoggio
2017	J	`jnl`	Online Representation Learning with Multi-layer Hebbian Networks for Image Classification Tasks. CoRR Yanis Bahroun, Andrea Soltoggio
2017	—	`conf`	Online Representation Learning with Single and Multi-layer Hebbian Networks for Image Classification. ICANN (1) Yanis Bahroun, Andrea Soltoggio
2015	J	`jnl`	Editorial: Neural plasticity for rich and uncertain robotic information streams. Frontiers Neurorobotics Andrea Soltoggio, Frank van der Velde
2015	J	`jnl`	Short-term plasticity as cause-effect hypothesis testing in distal reward learning. Biol. Cybern. Andrea Soltoggio
2014	C	`conf`	POET: An Evo-Devo Method to Optimize the Weights of Large Artificial Neural Networks. ALIFE Alessandro Fontana, Andrea Soltoggio, Borys Wróbel
2014	C	`conf`	Real-time Hebbian Learning from Autoencoder Features for Control Tasks. ALIFE Justin K. Pugh, Andrea Soltoggio, Kenneth O. Stanley
2014	J	`jnl`	Short-term plasticity as cause-effect hypothesis testing in distal reward learning. CoRR Andrea Soltoggio
2013	—	`conf`	Learning the rules of a game: Neural conditioning in human-robot interaction with delayed rewards. ICDL-EPIROB Andrea Soltoggio, René Felix Reinhart, Andre Lemme, Jochen J. Steil
2013	J	`jnl`	Movement Primitives as a Robotic Tool to Interpret Trajectories Through Learning-by-doing. Int. J. Autom. Comput. Andrea Soltoggio, Andre Lemme
2013	J	`jnl`	Rare Neural Correlations Implement Robotic Conditioning with Delayed Rewards and Disturbances. Frontiers Neurorobotics Andrea Soltoggio, Andre Lemme, René Felix Reinhart, Jochen J. Steil
2013	J	`jnl`	Solving the Distal Reward Problem with Rare Correlations. Neural Comput. Andrea Soltoggio, Jochen J. Steil
2012	J	`jnl`	From modulated Hebbian plasticity to simple behavior learning through noise and weight saturation. Neural Networks Andrea Soltoggio, Kenneth O. Stanley
2012	J	`jnl`	How Rich Motor Skills Empower Robots at Last: Insights and Progress of the AMARSi Project. Künstliche Intell. Andrea Soltoggio, Jochen J. Steil
2012	—	`conf`	Using movement primitives in interpreting and decomposing complex trajectories in learning-by-doing. ROBIO Andrea Soltoggio, Andre Lemme, Jochen J. Steil
2011	A	`conf`	Evolution of neural symmetry and its coupled alignment to body plan morphology. GECCO Ben Jones, Andrea Soltoggio, Bernhard Sendhoff, Xin Yao
2009	A	`conf`	Novelty of behaviour as a basis for the neuro-evolution of operant reward learning. GECCO Andrea Soltoggio, Ben Jones
2008	C	`conf`	Evolutionary Advantages of Neuromodulated Plasticity in Dynamic, Reward-based Scenarios. ALIFE Andrea Soltoggio, John A. Bullinaria, Claudio Mattiussi, Peter Dürr, Dario Floreano
2008	C	`conf`	Neural Plasticity and Minimal Topologies for Reward-Based Learning. HIS Andrea Soltoggio
2007	B	`conf`	Evolving neuromodulatory topologies for reinforcement learning-like problems. IEEE Congress on Evolutionary Computation Andrea Soltoggio, Peter Dürr, Claudio Mattiussi, Dario Floreano
2006	A	`conf`	A simple line search operator for ridged landscapes. GECCO Andrea Soltoggio
2005	A	`conf`	An enhanced GA to improve the search process reliability in tuning of control systems. GECCO Andrea Soltoggio
2004	—	`conf`	A Comparison of Genetic Programming and Genetic Algorithms in the Design of a Robust, Saturated Control System. GECCO (2) Andrea Soltoggio
2004	—	`conf`	GP and GA in the design of a constrained control system with disturbance rejection. ISIC Andrea Soltoggio