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Games have long been a microcosm for studying planning and reasoning in both natural and artificial intelligence, especially with a focus on expert-level or even super-human play. But real life also pushes human intelligence along a…

Machine learning techniques have enabled robots to learn narrow, yet complex tasks and also perform broad, yet simple skills with a wide variety of objects. However, learning a model that can both perform complex tasks and generalize to…

Robotics · Computer Science 2019-04-12 Annie Xie , Frederik Ebert , Sergey Levine , Chelsea Finn

Rapid individual cognitive phenotyping holds the potential to revolutionize domains as wide-ranging as personalized learning, employment practices, and precision psychiatry. Going beyond limitations imposed by traditional lab-based…

Our understanding of how visual systems detect, analyze and interpret visual stimuli has advanced greatly. However, the visual systems of all animals do much more; they enable visual behaviours. How well the visual system performs while…

Neurons and Cognition · Quantitative Biology 2023-06-22 Markus D. Solbach , John K. Tsotsos

Interacting with human agents in complex scenarios presents a significant challenge for robotic navigation, particularly in environments that necessitate both collision avoidance and collaborative interaction, such as indoor spaces. Unlike…

Robotics · Computer Science 2024-11-07 Lingfeng Sun , Yixiao Wang , Pin-Yun Hung , Changhao Wang , Xiang Zhang , Zhuo Xu , Masayoshi Tomizuka

Intelligent behaviour in the physical world exhibits structure at multiple spatial and temporal scales. Although movements are ultimately executed at the level of instantaneous muscle tensions or joint torques, they must be selected to…

Animals (especially humans) have an amazing ability to learn new tasks quickly, and switch between them flexibly. How brains support this ability is largely unknown, both neuroscientifically and algorithmically. One reasonable supposition…

Machine Learning · Computer Science 2017-06-23 Kevin T. Feigelis , Daniel L. K. Yamins

Learning to use tools to solve a variety of tasks is an innate ability of humans and has been observed of animals in the wild. However, the underlying mechanisms that are required to learn to use tools are abstract and widely contested in…

Neural and Evolutionary Computing · Computer Science 2019-07-04 Sam Wenke , Dan Saunders , Mike Qiu , Jim Fleming

Guessing games are a prototypical instance of the "learning by interacting" paradigm. This work investigates how well an artificial agent can benefit from playing guessing games when later asked to perform on novel NLP downstream tasks such…

Computation and Language · Computer Science 2021-02-02 Alessandro Suglia , Yonatan Bisk , Ioannis Konstas , Antonio Vergari , Emanuele Bastianelli , Andrea Vanzo , Oliver Lemon

Physics-based manipulation in clutter involves complex interaction between multiple objects. In this paper, we consider the problem of learning, from interaction in a physics simulator, manipulation skills to solve this multi-step…

Robotics · Computer Science 2019-07-29 Wissam Bejjani , Mehmet R. Dogar , Matteo Leonetti

In this paper, we investigate the problem of how to effectively master tool-use to solve complex visual reasoning tasks for Multimodal Large Language Models. To achieve that, we propose a novel Tool-supervised Reinforcement Learning…

Computer Vision and Pattern Recognition · Computer Science 2026-04-23 Qihua Dong , Gozde Sahin , Pei Wang , Zhaowei Cai , Robik Shrestha , Hao Yang , Davide Modolo

Fire keeps claiming a large number of victims in building fires. Although there are ways to minimize such events, fire drills are used to train the building occupants for emergency situations. However, organizing and implement these…

Reinforcement Learning is a mature technology, often suggested as a potential route towards Artificial General Intelligence, with the ambitious goal of replicating the wide range of abilities found in natural and artificial intelligence,…

Machine Learning · Computer Science 2025-11-25 Markus D. Solbach , John K. Tsotsos

Humans demonstrate an impressive ability to acquire and generalize manipulation "tricks." Even from a single demonstration, such as using soup ladles to reach for distant objects, we can apply this skill to new scenarios involving different…

Robotics · Computer Science 2023-11-07 Jiayuan Mao , Joshua B. Tenenbaum , Tomás Lozano-Pérez , Leslie Pack Kaelbling

In recent years, human behavior simulation has drawn increasing attention from both academia and industry. The reasons fall into two aspects. First, simulation serves as a critical tool for understanding human behaviors, which has become…

Human-Computer Interaction · Computer Science 2024-12-12 Zhang Guozhen , Yu Zihan , Li Nian , Yu Fudan , Long Qingyue , Jin Depeng , Li Yong

We report the results of a game-theoretic experiment with human players who solve the problems of increasing complexity by cooperating in groups of increasing size. Our experimental environment is set up to make it complicated for players…

Simulation is a central tool for scalable robot learning, but its effectiveness depends on the quality of object assets. While modern 3D datasets provide rich geometric and kinematic representations, they typically lack the physical…

Robotics · Computer Science 2026-05-20 Anh-Quan Pham

The rapid development of technology has introduced new formats of human-computer interaction, which have in turn produced many new forms of media and a whole new field of interactive multimedia. One of the major mediums that has grown in…

Human-Computer Interaction · Computer Science 2021-10-29 Sara Knežević , Mlađan Jovanović

Humans intuitively solve tasks in versatile ways, varying their behavior in terms of trajectory-based planning and for individual steps. Thus, they can easily generalize and adapt to new and changing environments. Current Imitation Learning…

Robotics · Computer Science 2022-11-10 Niklas Freymuth , Nicolas Schreiber , Philipp Becker , Aleksandar Taranovic , Gerhard Neumann

In the pursuit of artificial general intelligence, our most significant measurement of progress is an agent's ability to achieve goals in a wide range of environments. Existing platforms for constructing such environments are typically…

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