Browse State-of-the-Art › Human Agent Collaboration
Human Agent Collaboration
10 papers with code · 0 benchmarks · 0 datasets archive 2025-07-28
Benchmarks archive 2025-07-28
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Libraries
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Datasets archive 2025-07-28
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Subtasks archive 2025-07-28
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Most implemented papers archive 2025-07-28
10 shown of 10 papers with code (22 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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1 May 2025 1 repository listedRecent advances in large language models (LLMs) have sparked growing interest in building fully autonomous agents.
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26 Feb 2025 1 repository listedTo address the issue, we introduce OS-Kairos, an adaptive GUI agent capable of predicting confidence levels at each interaction step and efficiently deciding whether to act autonomously or seek human intervention.
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20 Dec 2024 1 repository listedRecent advancements in language models (LMs) have sparked growing interest in developing LM agents.
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16 Oct 2024 1 repository listed Syntology ran 6 of 6 samples · 0 unverifiedThe labeled data is used to train a reward model that simulates human judgment and serves as an automatic evaluator of the proactiveness of LLM agents.
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16 Apr 2024 1 repository listedInitializing policies to maximize performance with unknown partners can be achieved by bootstrapping nonlinear models using imitation learning over large, offline datasets.
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19 Mar 2024 1 repository listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)Large Language Models (LLMs) have emerged as integral tools for reasoning, planning, and decision-making, drawing upon their extensive world knowledge and proficiency in language-related tasks.
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20 Feb 2024 1 repository listedWe construct a human-agent collaboration dataset to train this policy model in an offline reinforcement learning environment.
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6 Oct 2022 1 repository listedHowever, most existing methods mainly focus on the dialogue context or assist with global satisfaction prediction based on multi-task learning, which ignore the grounded relationships among the causal variables, like…
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26 Apr 2022 1 repository listedAdvances in multi-agent reinforcement learning (MARL) enable sequential decision making for a range of exciting multi-agent applications such as cooperative AI and autonomous driving.
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11 Feb 2016 1 repository listedWhether in groups of humans or groups of computer agents, collaboration is most effective between individuals who have the ability to coordinate on a joint strategy for collective action.
Syntology lines on 2 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.
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