NewEvery arXiv paper, its researchers & institutions — mapped.
papers

Publications (12)

cs.LG2026

Using Reward Uncertainty to Induce Diverse Behaviour in Reinforcement Learning

Anthony GX-Chen, Ankit Anand, Gheorghe Comanici +7

cs.AI2026

An AI system to help scientists write expert-level empirical software

Eser Aygün, Anastasiya Belyaeva, Gheorghe Comanici +39

cs.LG2022

Learning how to Interact with a Complex Interface using Hierarchical Reinforcement Learning

Gheorghe Comanici, Amelia Glaese, Anita Gergely +5

cs.LG2024

Vision-Language Models as a Source of Rewards

Kate Baumli, Satinder Baveja, Feryal Behbahani +24

cs.CL2025

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

Gheorghe Comanici, Eric Bieber, Mike Schaekermann +3431

cs.LG2021

AndroidEnv: A Reinforcement Learning Platform for Android

Daniel Toyama, Philippe Hamel, Anita Gergely +6

cs.AI2024

Finding Increasingly Large Extremal Graphs with AlphaZero and Tabu Search

Abbas Mehrabian, Ankit Anand, Hyunjik Kim +16

cs.LG2021

Temporally Abstract Partial Models

Khimya Khetarpal, Zafarali Ahmed, Gheorghe Comanici +1

cs.AI2021

The Option Keyboard: Combining Skills in Reinforcement Learning

André Barreto, Diana Borsa, Shaobo Hou +8

cs.LG2026

Affordances Enable Partial World Modeling with LLMs

Khimya Khetarpal, Gheorghe Comanici, Jonathan Richens +5

cs.CL2024

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

Gemini Team, Petko Georgiev, Ving Ian Lei +1132

cs.LG2020

What can I do here? A Theory of Affordances in Reinforcement Learning

Khimya Khetarpal, Zafarali Ahmed, Gheorghe Comanici +2