Jonathan Zamora — accepted AI-conference papers

2022

Contextualized Scene Imagination for Generative Commonsense Reasoning

PeiFeng Wang, Jonathan Zamora, Junfeng Liu, Filip Ilievski, Muhao Chen, Xiang Ren

ICLR 2022poster

Humans use natural language to compose common concepts from their environment into plausible, day-to-day scene descriptions. However, such generative commonsense reasoning (GCSR) skills are lacking in state-of-the-art text generation methods. Descriptive sentences about arbitrary concepts generated…

Cited by 24 Source ↗PDF ↗code ↗Scholar ↗

2022

Graph Inverse Reinforcement Learning from Diverse Videos

Sateesh Kumar, Jonathan Zamora, Nicklas Hansen, Rishabh Jangir, Xiaolong Wang

CoRL 2022oral

Research on Inverse Reinforcement Learning (IRL) from third-person videos has shown encouraging results on removing the need for manual reward design for robotic tasks. However, most prior works are still limited by training from a relatively restricted domain of videos. In this paper, we argue that…

Cited by 57 Source ↗code ↗Scholar ↗