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MACM: Utilizing a Multi-Agent System for Condition Mining in Solving Complex Mathematical Problems Bin Lei
Neural Information Processing Systems
Recent advancements in large language models, such as GPT -4, have demonstrated remarkable capabilities in processing standard queries.
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Actor-Critic Policy Optimization in Partially Observable Multiagent Environments
Neural Information Processing Systems
Optimization of parameterized policies for reinforcement learning (RL) is an important and challenging problem in artificial intelligence.
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- Europe > United Kingdom > England > Cambridgeshire > Cambridge (0.04)
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- Information Technology > Artificial Intelligence > Representation & Reasoning > Agents (1.00)
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- Information Technology > Artificial Intelligence > Machine Learning > Reinforcement Learning (1.00)
- Information Technology > Artificial Intelligence > Machine Learning > Neural Networks (0.93)
- Information Technology > Artificial Intelligence > Machine Learning > Learning Graphical Models > Undirected Networks > Markov Models (0.46)
- Information Technology > Artificial Intelligence > Representation & Reasoning > Agents > Agent Societies (0.46)
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- Information Technology > Artificial Intelligence > Representation & Reasoning > Agents (0.94)
- Information Technology > Artificial Intelligence > Machine Learning > Reinforcement Learning (0.70)
Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments
Neural Information Processing Systems
While humans accomplish 72.4% of the tasks, the best
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- Information Technology > Artificial Intelligence > Representation & Reasoning > Agents (1.00)
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- Europe > Germany > Baden-Württemberg > Tübingen Region > Tübingen (0.14)
- Europe > Germany > North Rhine-Westphalia > Upper Bavaria > Munich (0.04)
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