Learning to Navigate in Complex Environments. - Piotr Mirowski; Razvan Pascanu; Fabio Viola; Hubert Soyer; Andy Ballard; Andrea Banino; Misha Denil; Ross Goroshin; Laurent Sifre; Koray Kavukcuoglu; Dharshan Kumaran; Raia Hadsell (ICLR (Poster), 2017)

Vector-based navigation using grid-like representations in artificial agents. - Andrea Banino; Caswell Barry; Benigno Uria; Charles Blundell; Timothy P. Lillicrap; Piotr Mirowski; Alexander Pritzel; Martin J. Chadwick; Thomas Degris; Joseph Modayil; Greg Wayne; Hubert Soyer; et al. (Nat., 2018)

MEMO: A Deep Network for Flexible Combination of Episodic Memories. - Andrea Banino; Adrià Puigdomènech Badia; Raphael Köster; Martin J. Chadwick; Vinícius Flores Zambaldi; Demis Hassabis; Caswell Barry; Matthew M. Botvinick; Dharshan Kumaran; Charles Blundell (ICLR, 2020)

Towards mental time travel: a hierarchical memory for reinforcement learning agents. - Andrew K. Lampinen; Stephanie C. Y. Chan; Andrea Banino; Felix Hill (NeurIPS, 2021)

PonderNet: Learning to Ponder. - Andrea Banino; Jan Balaguer; Charles Blundell (CoRR, 2021)

CoBERL: Contrastive BERT for Reinforcement Learning. - Andrea Banino; Adrià Puigdomènech Badia; Jacob C. Walker; Tim Scholtes; Jovana Mitrovic; Charles Blundell (ICLR, 2022)

Retrieval-Augmented Reinforcement Learning. - Anirudh Goyal; Abram L. Friesen; Andrea Banino; Theophane Weber; Nan Rosemary Ke; Adrià Puigdomènech Badia; Arthur Guez; Mehdi Mirza; Peter Conway Humphreys; Ksenia Konyushkova; Michal Valko; Simon Osindero; et al. (ICML, 2022)

The CLRS Algorithmic Reasoning Benchmark. - Petar Velickovic; Adrià Puigdomènech Badia; David Budden; Razvan Pascanu; Andrea Banino; Misha Dashevskiy; Raia Hadsell; Charles Blundell (ICML, 2022)

Semantic Exploration from Language Abstractions and Pretrained Representations. - Allison C. Tam; Neil C. Rabinowitz; Andrew K. Lampinen; Nicholas A. Roy; Stephanie C. Y. Chan; DJ Strouse; Jane Wang 001; Andrea Banino; Felix Hill (NeurIPS, 2022)

Retrieval-Augmented Reinforcement Learning. - Anirudh Goyal; Abram L. Friesen; Andrea Banino; Theophane Weber; Nan Rosemary Ke; Adrià Puigdomènech Badia; Arthur Guez; Mehdi Mirza; Ksenia Konyushkova; Michal Valko; Simon Osindero; Timothy P. Lillicrap; et al. (CoRR, 2022)

A Simple Approach for State-Action Abstraction using a Learned MDP Homomorphism. - Augustine N. Mavor-Parker; Andrea Banino; Lewis D. Griffin; Caswell Barry (CoRR, 2022)

Transformers need glasses! Information over-squashing in language tasks. - Federico Barbero; Andrea Banino; Steven Kapturowski; Dharshan Kumaran; João Guilherme Madeira Araújo; Oleksandr Vitvitskyi; Razvan Pascanu; Petar Velickovic (NeurIPS, 2024)

Synth2: Boosting Visual-Language Models with Synthetic Captions and Image Embeddings. - Sahand Sharifzadeh; Christos Kaplanis; Shreya Pathak; Dharshan Kumaran; Anastasija Ilic; Jovana Mitrovic; Charles Blundell; Andrea Banino (CoRR, 2024)

How Overconfidence in Initial Choices and Underconfidence Under Criticism Modulate Change of Mind in Large Language Models. - Dharshan Kumaran; Stephen M. Fleming; Larisa Markeeva; Joe Heyward; Andrea Banino; Mrinal Mathur; Razvan Pascanu; Simon Osindero; Benedetto De Martino; Petar Velickovic; Viorica Patraucean (CoRR, 2025)