JARVIS-1: Open-World Multi-Task Agents With Memory-Augmented Multimodal Language Models
IEEE Transactions on Pattern Analysis and Machine Intelligence. [All Versions]. Achieving human-like planning and control with multimodal observations in an open world is a key milestone for more functional generalist agents. Existing approaches can handle certain long-horizon…
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Embodied large language models enable robots to complete complex tasks in unpredictable environments nature.com
Nature Machine Intelligence, 2025. [All Versions]. Completing complex tasks in unpredictable settings challenges robotic systems, requiring a step change in machine intelligence. Sensorimotor abilities are considered integral to human intelligence. Thus, biologically inspired…
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Theory of Minds: Understanding Behavior in Groups through Inverse Planning aaai.org
AAAI'19, 2019. [All Versions]. Towards the goal of building machine-learning algorithms with human-like social intelligence, this paper develops a generative model of multiagent action understanding based on a novel representation for these latent relationships called…
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Multi-Agent Cooperation and the Emergence of (Natural) Language arxiv.org
ICLR'17, 2017. [All Versions]. The original paper on the emergence of language in multi-agent reinforcement learning.
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From Skills to Symbols: Learning Symbolic Representations for Abstract High-Level Planning jair.org
Journal of Artificial Intelligence Research, 2018. [All Versions]. This work considers the problem of constructing abstract representations for planning in high-dimensional, continuous environments. The authors assume an agent equipped with a collection of high-level actions…
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From Explicit Communication to Tacit Cooperation: A Novel Paradigm for Cooperative MARL arxiv.org
AAMAS'24, 2024. [All Versions]. Drawing inspiration from human team cooperative learning, this paper proposes a novel paradigm that facilitates a gradual shift from explicit communication to tacit cooperation.
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Tasks for aligning human and machine planning sciencedirect.com
Current Opinion in Behavioral Sciences, 2019. [All Versions].
AGI & CoCoSci › Papers > Problem Solving > Intrinsic Motivation: “IEEE Transactions on Pattern Analysis and Machine Intelligence. [All Versions]. Achieving human-like planning and control with multimodal observations in an open world is a key milestone for more functional generalist agents. Existing approaches can handle certain long-horizon…”