Dec 4, 2019 · Cooperative Reasoning on Knowledge Graph and Corpus: A Multi-agentReinforcement Learning Approach. Authors:Yunan Zhang, Xiang Cheng, Heting Gao, ...
Dec 11, 2023 · Bibliographic details on Cooperative Reasoning on Knowledge Graph and Corpus: A Multi-agentReinforcement Learning Approach.
Dec 8, 2019 · Cooperative Reasoning on Knowledge Graph and Corpus: A Multi-agentReinforcement Learning Approach http://arxiv.org/abs/1912.02206.
We model the question answering on KG as a cooperative task between two agents, a knowledge graph reasoning agent and an information extraction agent. Question ...
We propose a novel reinforcement learning framework to train two collaborative agents jointly, ie, a multi-hop graph reasoner and a fact extractor.
Missing: Cooperative | Show results with:Cooperative
Cooperative Reasoning on Knowledge Graph and Corpus: A Multi-agentReinforcement Learning Approach http://arxiv.org/abs/1912.02206 · 2:40 AM · Dec 6, 2019.
Dec 4, 2019 · Cooperative Reasoning on Knowledge Graph and Corpus: A Multi-agent. Reinforcement Learning Approach. Yunan Zhang,1 Xiang Cheng,1 Heting Gao, 1 ...
Path Reasoning over Knowledge Graph: A Multi-agent and ...
www.semanticscholar.org › paper › Path-...
This paper proposes a dual-agent reinforcement learning framework, which trains two agents to walk over a KG jointly and search for the answer collaboratively.
Missing: Cooperative Approach.
Nov 11, 2024 · Knowledge graph construction process includes knowledge representation, knowledge extraction, knowledge fusion and knowledge reasoning. However, ...
Oct 22, 2024 · Our reinforcement learning method then discerns the characteristics of the dialogue in chronological order as the basis for multi-turn dialogue ...