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ORCIDAndrea Soltoggio
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2020 – today
- 2023
[j16]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 L. 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:
A domain-agnostic approach for characterization of lifelong learning systems. Neural Networks 160: 274-296 (2023)- [i17]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 L. 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:
A Domain-Agnostic Approach for Characterization of Lifelong Learning Systems. CoRR abs/2301.07799 (2023) - [i16]Andrea Soltoggio, Eseoghene Ben-Iwhiwhu, Christos Peridis, Pawel Ladosz, Jeffery Dick, Praveen K. Pilly, Soheil Kolouri:
The configurable tree graph (CT-graph): measurable problems in partially observable and distal reward environments for lifelong reinforcement learning. CoRR abs/2302.10887 (2023) - [i15]Saptarshi Nath, Christos Peridis, Eseoghene Ben-Iwhiwhu, Xinran Liu, Shirin Dora, Cong Liu, Soheil Kolouri, Andrea Soltoggio:
Sharing Lifelong Reinforcement Learning Knowledge via Modulating Masks. CoRR abs/2305.10997 (2023) - [i14]Zexin Li, Aritra Samanta, Yufei Li, Andrea Soltoggio, Hyoseung Kim, Cong Liu:
R^3: On-device Real-Time Deep Reinforcement Learning for Autonomous Robotics. CoRR abs/2308.15039 (2023) - 2022
- [j15]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:
Biological underpinnings for lifelong learning machines. Nat. Mach. Intell. 4(3): 196-210 (2022) - [j14]Eseoghene Ben-Iwhiwhu, Jeffery Dick, Nicholas A. Ketz, Praveen K. Pilly, Andrea Soltoggio:
Context meta-reinforcement learning via neuromodulation. Neural Networks 152: 70-79 (2022) - [j13]Pawel Ladosz, Eseoghene Ben-Iwhiwhu, Jeffery Dick, Nicholas Ketz, Soheil Kolouri, Jeffrey L. Krichmar, Praveen K. Pilly, Andrea Soltoggio:
Deep Reinforcement Learning With Modulated Hebbian Plus Q-Network Architecture. IEEE Trans. Neural Networks Learn. Syst. 33(5): 2045-2056 (2022) - [c24]Jeffrey L. Krichmar, Nicholas A. Ketz, Praveen K. Pilly, Andrea Soltoggio:
Flexible Path Planning in a Spiking Model of Replay and Vicarious Trial and Error. SAB 2022: 177-189 - [i13]Xinran Liu, Yikun Bai, Yuzhe Lu, Andrea Soltoggio, Soheil Kolouri:
Wasserstein Task Embedding for Measuring Task Similarities. CoRR abs/2208.11726 (2022) - [i12]Eseoghene Ben-Iwhiwhu, Saptarshi Nath, Praveen K. Pilly, Soheil Kolouri, Andrea Soltoggio:
Lifelong Reinforcement Learning with Modulating Masks. CoRR abs/2212.11110 (2022) - 2021
- [j12]Steff Farley, Jo E. A. Hodgkinson, Oliver M. Gordon, Joanna Turner, Andrea Soltoggio, Philip J. Moriarty, Eugénie Hunsicker:
Improving the segmentation of scanning probe microscope images using convolutional neural networks. Mach. Learn. Sci. Technol. 2(1): 15015 (2021) - [i11]Eseoghene Ben-Iwhiwhu, Jeffery Dick, Nicholas A. Ketz, Praveen K. Pilly, Andrea Soltoggio:
Context Meta-Reinforcement Learning via Neuromodulation. CoRR abs/2111.00134 (2021) - [i10]Yuzhe Lu, Xinran Liu, Andrea Soltoggio, Soheil Kolouri:
SLOSH: Set LOcality Sensitive Hashing via Sliced-Wasserstein Embeddings. CoRR abs/2112.05872 (2021) - 2020
- [j11]Jeffery Dick, Pawel Ladosz, Eseoghene Ben-Iwhiwhu, Hideyasu Shimadzu, Peter Kinnell, Praveen K. Pilly, Soheil Kolouri, Andrea Soltoggio:
Detecting Changes and Avoiding Catastrophic Forgetting in Dynamic Partially Observable Environments. Frontiers Neurorobotics 14: 578675 (2020) - [c23]Eseoghene Ben-Iwhiwhu, Pawel Ladosz, Jeffery Dick, Wen-Hua Chen, Praveen K. Pilly, Andrea Soltoggio:
Evolving inborn knowledge for fast adaptation in dynamic POMDP problems. GECCO 2020: 280-288 - [c22]Piotr Fratczak, Yee Mey Goh, Peter Kinnell, Laura Justham, Andrea Soltoggio:
Virtual Reality Study of Human Adaptability in Industrial Human-Robot Collaboration. ICHMS 2020: 1-6 - [c21]Soheil Kolouri, Nicholas A. Ketz, Andrea Soltoggio, Praveen K. Pilly:
Sliced Cramer Synaptic Consolidation for Preserving Deeply Learned Representations. ICLR 2020 - [i9]Eseoghene Ben-Iwhiwhu, Pawel Ladosz, Jeffery Dick, Wen-Hua Chen, Praveen K. Pilly, Andrea Soltoggio:
Evolving Inborn Knowledge For Fast Adaptation in Dynamic POMDP Problems. CoRR abs/2004.12846 (2020) - [i8]Angelika Skarysz, Dahlia Salman, Michael Eddleston, Martin Sykora, Eugénie Hunsicker, William H. Nailon, Kareen Darnley, Duncan B. McLaren, C. L. Paul Thomas, Andrea Soltoggio:
Fast and automated biomarker detection in breath samples with machine learning. CoRR abs/2006.01772 (2020) - [i7]Steff Farley, Jo E. A. Hodgkinson, Oliver M. Gordon, Joanna Turner, Andrea Soltoggio, Philip J. Moriarty, Eugénie Hunsicker:
Improving the Segmentation of Scanning Probe Microscope Images using Convolutional Neural Networks. CoRR abs/2008.12371 (2020)
2010 – 2019
- 2019
- [j10]Yang Hu, Andrea Soltoggio, Russell Lock, Steve Carter:
A fully convolutional two-stream fusion network for interactive image segmentation. Neural Networks 109: 31-42 (2019) - [c20]Piotr Fratczak, Yee Mey Goh, Peter Kinnell, Andrea Soltoggio, Laura Justham:
Understanding Human Behaviour in Industrial Human-Robot Interaction by Means of Virtual Reality. HTTF 2019: 19:1-19:7 - [i6]Ling Jiang, Yang Hu, Xilin Xia, Qiuhua Liang, Andrea Soltoggio:
A Multi-Scale Mapping Approach Based on a Deep Learning CNN Model for Reconstructing High-Resolution Urban DEMs. CoRR abs/1907.12898 (2019) - [i5]Pawel Ladosz, Eseoghene Ben-Iwhiwhu, Yang Hu, Nicholas Ketz, Soheil Kolouri, Jeffrey L. Krichmar, Praveen K. Pilly, Andrea Soltoggio:
Deep Reinforcement Learning with Modulated Hebbian plus Q Network Architecture. CoRR abs/1909.09902 (2019) - 2018
- [j9]Andrea Soltoggio, Kenneth O. Stanley, Sebastian Risi:
Born to learn: The inspiration, progress, and future of evolved plastic artificial neural networks. Neural Networks 108: 48-67 (2018) - [j8]Joanna Turner, Qinggang Meng, Gerald Schaefer, Amanda Whitbrook, Andrea Soltoggio:
Distributed Task Rescheduling With Time Constraints for the Optimization of Total Task Allocations in a Multirobot System. IEEE Trans. Cybern. 48(9): 2583-2597 (2018) - [c19]Joanna Turner, Qinggang Meng, Gerald Schaefer, Andrea Soltoggio:
Distributed Strategy Adaptation with a Prediction Function in Multi-Agent Task Allocation. AAMAS 2018: 739-747 - [c18]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:
Convolutional neural networks for automated targeted analysis of raw gas chromatography-mass spectrometry data. IJCNN 2018: 1-8 - [c17]Joanna Turner, Qinggang Meng, Gerald Schaefer, Andrea Soltoggio:
Fast consensus for fully distributed multi-agent task allocation. SAC 2018: 832-839 - [i4]Yang Hu, Andrea Soltoggio, Russell Lock, Steve Carter:
A Fully Convolutional Two-Stream Fusion Network for Interactive Image Segmentation. CoRR abs/1807.02480 (2018) - 2017
- [c16]Yanis Bahroun, Andrea Soltoggio:
Online Representation Learning with Single and Multi-layer Hebbian Networks for Image Classification. ICANN (1) 2017: 354-363 - [c15]Yanis Bahroun, Eugénie Hunsicker, Andrea Soltoggio:
Building Efficient Deep Hebbian Networks for Image Classification Tasks. ICANN (1) 2017: 364-372 - [c14]Yanis Bahroun, Eugénie Hunsicker, Andrea Soltoggio:
Neural Networks for Efficient Nonlinear Online Clustering. ICONIP (1) 2017: 316-324 - [i3]Yanis Bahroun, Andrea Soltoggio:
Online Representation Learning with Multi-layer Hebbian Networks for Image Classification Tasks. CoRR abs/1702.06456 (2017) - [i2]Andrea Soltoggio, Kenneth O. Stanley, Sebastian Risi:
Born to Learn: the Inspiration, Progress, and Future of Evolved Plastic Artificial Neural Networks. CoRR abs/1703.10371 (2017) - 2015
- [j7]Andrea Soltoggio:
Short-term plasticity as cause-effect hypothesis testing in distal reward learning. Biol. Cybern. 109(1): 75-94 (2015) - [j6]Andrea Soltoggio, Frank van der Velde:
Editorial: Neural plasticity for rich and uncertain robotic information streams. Frontiers Neurorobotics 9: 12 (2015) - 2014
- [c13]Justin K. Pugh, Andrea Soltoggio, Kenneth O. Stanley:
Real-time Hebbian Learning from Autoencoder Features for Control Tasks. ALIFE 2014: 202-209 - [c12]Alessandro Fontana, Andrea Soltoggio, Borys Wróbel:
POET: An Evo-Devo Method to Optimize the Weights of Large Artificial Neural Networks. ALIFE 2014: 447-454 - [i1]Andrea Soltoggio:
Short-term plasticity as cause-effect hypothesis testing in distal reward learning. CoRR abs/1402.0710 (2014) - 2013
- [j5]Andrea Soltoggio, Andre Lemme, René Felix Reinhart, Jochen J. Steil:
Rare Neural Correlations Implement Robotic Conditioning with Delayed Rewards and Disturbances. Frontiers Neurorobotics 7: 6 (2013) - [j4]Andrea Soltoggio, Andre Lemme:
Movement Primitives as a Robotic Tool to Interpret Trajectories Through Learning-by-doing. Int. J. Autom. Comput. 10(5): 375-386 (2013) - [j3]Andrea Soltoggio, Jochen J. Steil:
Solving the Distal Reward Problem with Rare Correlations. Neural Comput. 25(4): 940-978 (2013) - [c11]Andrea Soltoggio, René Felix Reinhart, Andre Lemme, Jochen J. Steil:
Learning the rules of a game: Neural conditioning in human-robot interaction with delayed rewards. ICDL-EPIROB 2013: 1-6 - 2012
- [j2]Andrea Soltoggio, Jochen J. Steil:
How Rich Motor Skills Empower Robots at Last: Insights and Progress of the AMARSi Project. Künstliche Intell. 26(4): 407-410 (2012) - [j1]Andrea Soltoggio, Kenneth O. Stanley:
From modulated Hebbian plasticity to simple behavior learning through noise and weight saturation. Neural Networks 34: 28-41 (2012) - [c10]Andrea Soltoggio, Andre Lemme, Jochen J. Steil:
Using movement primitives in interpreting and decomposing complex trajectories in learning-by-doing. ROBIO 2012: 1427-1433 - 2011
- [c9]Ben Jones, Andrea Soltoggio, Bernhard Sendhoff, Xin Yao:
Evolution of neural symmetry and its coupled alignment to body plan morphology. GECCO 2011: 235-242
2000 – 2009
- 2009
- [c8]Andrea Soltoggio, Ben Jones:
Novelty of behaviour as a basis for the neuro-evolution of operant reward learning. GECCO 2009: 169-176 - 2008
- [c7]Andrea Soltoggio, John A. Bullinaria, Claudio Mattiussi, Peter Dürr, Dario Floreano:
Evolutionary Advantages of Neuromodulated Plasticity in Dynamic, Reward-based Scenarios. ALIFE 2008: 569-576 - [c6]Andrea Soltoggio:
Neural Plasticity and Minimal Topologies for Reward-Based Learning. HIS 2008: 637-642 - 2007
- [c5]Andrea Soltoggio, Peter Dürr, Claudio Mattiussi, Dario Floreano:
Evolving neuromodulatory topologies for reinforcement learning-like problems. IEEE Congress on Evolutionary Computation 2007: 2471-2478 - 2006
- [c4]Andrea Soltoggio:
A simple line search operator for ridged landscapes. GECCO 2006: 503-504 - 2005
- [c3]Andrea Soltoggio:
An enhanced GA to improve the search process reliability in tuning of control systems. GECCO 2005: 2165-2172 - 2004
- [c2]Andrea Soltoggio:
GP and GA in the design of a constrained control system with disturbance rejection. ISIC 2004: 477-482 - [c1]Andrea Soltoggio:
A Comparison of Genetic Programming and Genetic Algorithms in the Design of a Robust, Saturated Control System. GECCO (2) 2004: 174-185
Coauthor Index
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last updated on 2023-09-20 23:14 CEST by the dblp team
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