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Feb 1, 2023 · The paper proposes a multi-turn, bidirectional emergent communication setting implemented as a vision-language navigation task. Experiments show ...
The paper proposes a collaborative multi-agent reinforcement learning framework that enables the agents to generate and understand emergent language, with the ...
This task involves two agents with unequal abilities: the tourist (agent A) who can only observe its surroundings and the guide (agent B) who has the holistic ...
Apr 2, 2020 · We show that agents performing a cooperative navigation task in various gridworld environments learn an interpretable communication protocol.
Missing: Manipulating | Show results with:Manipulating
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Using populations of agents, we show that the emergent protocol has basic com- positional structure, thus exhibiting a core property of natural language.
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Jul 6, 2023 · In multi-agent reinforcement learning for partially-observable environments, agents may convey information to others via learned communication, ...
This work presents a decentralized multi-agent navigation approach that allows agents to coordinate their motion through local communication.
Feb 13, 2024 · In emergent communication, symbols with no pre-specified usage rules are exchanged, in which the meaning and syntax emerge through training.
Missing: Manipulating | Show results with:Manipulating
Jun 20, 2024 · Using emergent communication, agents learn a communication protocol to coordinate and share information that is needed to achieve their ...
Apr 2, 2020 · It is shown that agents performing a cooperative navigation task in various gridworld environments learn an interpretable communication ...