E cubed-Orch: Towards Effective, Efficient, and Extensible Agentic Orchestration with Reinforcement Learning
cs.CL, cs.AI
Submitted: 2026-08-05
Updated: 2026-09-27
Comments: Preprint
Code: https://github.com/bytedance/SandboxFusion
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
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- In-the-Flow Agentic System Optimization for Effective Planning and Tool Use
- From LLM to Conversational Agent: A Memory Enhanced Architecture with Fine-Tuning of Large Language Models
- The Landscape of Emerging AI Agent Architectures for Reasoning, Planning, and Tool Calling: A Survey
- Orchestrating Human-AI Teams: The Manager Agent as a Unifying Research Challenge
- RouteLLM: Learning to Route LLMs with Preference Data
- Humanity's Last Exam
- Summarization is (Almost) Dead
- ToolRL: Reward is All Tool Learning Needs
- DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
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