| 2026 | AAAI | Policy Search, Retrieval, and Composition via Task Similarity in Collaborative Agentic Systems. | Saptarshi Nath, Christos Peridis, Eseoghene Benjamin, Xinran Liu, Soheil Kolouri, Peter Kinnell, Zexin Li, Cong Liu, Shirin Dora, Andrea Soltoggio |
| 2024 | WACV | SLoSH: Set Locality Sensitive Hashing via Sliced-Wasserstein Embeddings. | Yuzhe Lu, Xinran Liu, Andrea Soltoggio, Soheil Kolouri |
| 2023 | RTSS | $\mathrm{R}^{3}$: On-Device Real-Time Deep Reinforcement Learning for Autonomous Robotics. | Zexin Li, Aritra Samanta, Yufei Li, Andrea Soltoggio, Hyoseung Kim, Cong Liu |
| 2020 | GECCO | Evolving inborn knowledge for fast adaptation in dynamic POMDP problems. | Eseoghene Ben-Iwhiwhu, Pawel Ladosz, Jeffery Dick, Wen-Hua Chen, Praveen K. Pilly, Andrea Soltoggio |
| 2020 | ICLR | Sliced Cramer Synaptic Consolidation for Preserving Deeply Learned Representations. | Soheil Kolouri, Nicholas A. Ketz, Andrea Soltoggio, Praveen K. Pilly |
| 2018 | IJCNN | Convolutional neural networks for automated targeted analysis of raw gas chromatography-mass spectrometry data. | 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 | SAC | Fast consensus for fully distributed multi-agent task allocation. | Joanna Turner, Qinggang Meng, Gerald Schaefer, Andrea Soltoggio |
| 2017 | ICANN | Building Efficient Deep Hebbian Networks for Image Classification Tasks. | Yanis Bahroun, Eugnie Hunsicker, Andrea Soltoggio |
| 2017 | ICANN | Online Representation Learning with Single and Multi-layer Hebbian Networks for Image Classification. | Yanis Bahroun, Andrea Soltoggio |
| 2017 | ICONIP | Neural Networks for Efficient Nonlinear Online Clustering. | Yanis Bahroun, Eugnie Hunsicker, Andrea Soltoggio |
| 2014 | ALIFE | POET: An Evo-Devo Method to Optimize the Weights of Large Artificial Neural Networks. | Alessandro Fontana, Andrea Soltoggio, Borys Wrbel |
| 2014 | ALIFE | Real-time Hebbian Learning from Autoencoder Features for Control Tasks. | Justin K. Pugh, Andrea Soltoggio, Kenneth O. Stanley |
| 2011 | GECCO | Evolution of neural symmetry and its coupled alignment to body plan morphology. | Ben Jones, Andrea Soltoggio, Bernhard Sendhoff, Xin Yao |
| 2009 | GECCO | Novelty of behaviour as a basis for the neuro-evolution of operant reward learning. | Andrea Soltoggio, Ben Jones |
| 2008 | ALIFE | Evolutionary Advantages of Neuromodulated Plasticity in Dynamic, Reward-based Scenarios. | Andrea Soltoggio, John A. Bullinaria, Claudio Mattiussi, Peter Drr, Dario Floreano |
| 2008 | HIS | Neural Plasticity and Minimal Topologies for Reward-Based Learning. | Andrea Soltoggio |
| 2007 | CEC | Evolving neuromodulatory topologies for reinforcement learning-like problems. | Andrea Soltoggio, Peter Drr, Claudio Mattiussi, Dario Floreano |
| 2006 | GECCO | A simple line search operator for ridged landscapes. | Andrea Soltoggio |
| 2005 | GECCO | An enhanced GA to improve the search process reliability in tuning of control systems. | Andrea Soltoggio |
| 2004 | GECCO | A Comparison of Genetic Programming and Genetic Algorithms in the Design of a Robust, Saturated Control System. | Andrea Soltoggio |