DeepPlanner: Scaling Planning Capability for Deep Research Agents via Advantage Shaping
cs.AI, cs.CL
Submitted: 2025-10-14
Updated: 2026-08-27
Comments: Accepted by ACL 2026
Code: https://github.com/AlexFanw/DeepPlanner
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Do As I Can, Not As I Say: Grounding Language in Robotic Affordances
- Open Deep Search: Democratizing Search with Open-source Reasoning Agents
- ReSearch: Learning to Reason with Search for LLMs via Reinforcement Learning
- Reasoning with Exploration: An Entropy Perspective
- The Entropy Mechanism of Reinforcement Learning for Reasoning Language Models
- DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
- Cognitive Kernel-Pro: A Framework for Deep Research Agents and Agent Foundation Models Training
- AirRAG: Autonomous Strategic Planning and Reasoning Steer Retrieval Augmented Generation
- Retrieval-Augmented Generation for Large Language Models: A Survey
- Learning to Plan with Natural Language
- Understanding the planning of LLM agents: A survey
- OpenAI o1 System Card
- Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning
- LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks
- Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
- Search-o1: Agentic Search-Enhanced Large Reasoning Models
- WebThinker: Empowering Large Reasoning Models with Deep Research Capability
- HiPlan: Hierarchical Planning for LLM-Based Agents with Adaptive Global-Local Guidance
- TaskMatrix.AI: Completing Tasks by Connecting Foundation Models with Millions of APIs
- LLM+P: Empowering Large Language Models with Optimal Planning Proficiency
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