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papers

Publications (13)

Tonic: A Deep Reinforcement Learning Library for Fast Prototyping and Benchmarking

Fabio Pardo

Ivy: Templated Deep Learning for Inter-Framework Portability

Daniel Lenton, Fabio Pardo, Fabian Falck +2

SIMA 2: A Generalist Embodied Agent for Virtual Worlds

SIMA team, Adrian Bolton, Alexander Lerchner +63

Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Gemini Team, Petko Georgiev, Ving Ian Lei +1132

OstrichRL: A Musculoskeletal Ostrich Simulation to Study Bio-mechanical Locomotion

Vittorio La Barbera, Fabio Pardo, Yuval Tassa +4

Time Limits in Reinforcement Learning

Fabio Pardo, Arash Tavakoli, Vitaly Levdik +1

LMAct: A Benchmark for In-Context Imitation Learning with Long Multimodal Demonstrations

Anian Ruoss, Fabio Pardo, Harris Chan +3

Scaling All-Goals Updates in Reinforcement Learning Using Convolutional Neural Networks

Fabio Pardo, Vitaly Levdik, Petar Kormushev

Goal-oriented Trajectories for Efficient Exploration

Fabio Pardo, Vitaly Levdik, Petar Kormushev

Action Branching Architectures for Deep Reinforcement Learning

Arash Tavakoli, Fabio Pardo, Petar Kormushev

Vision-Language Models as a Source of Rewards

Kate Baumli, Satinder Baveja, Feryal Behbahani +24

Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Gheorghe Comanici, Eric Bieber, Mike Schaekermann +3431

Gemini: A Family of Highly Capable Multimodal Models

Gemini Team, Rohan Anil, Sebastian Borgeaud +1340