ParaAgent: Reinforcing Parallel Acting in Open-World Tool Environments
cs.AI, cs.CL
Submitted: 2026-09-27
Updated: 2026-09-27
Code: https://github.com/yueshengbin/paraagent
Terminology
Sources
- GPT-4 Technical Report
- ReTool: Reinforcement Learning for Strategic Tool Use in LLMs
- DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
- ToolOmni: Enabling Open-World Tool Use via Agentic learning with Proactive Retrieval and Grounded Execution
- Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning
- WebSailor: Navigating Super-human Reasoning for Web Agent
- Chain-of-Agents: End-to-End Agent Foundation Models via Multi-Agent Distillation and Agentic RL
- From Word to World: Can Large Language Models be Implicit Text-based World Models?
- Simulating Environments with Reasoning Models for Agent Training
- GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization
- Decoupled Weight Decay Regularization
- DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
- RAGEN: Understanding Self-Evolution in LLM Agents via Multi-Turn Reinforcement Learning
- A Survey of Agentic Reasoning for Large Language Models: Towards Recursively Self-Improving and Collective Agents
- ReWOO: Decoupling Reasoning from Observations for Efficient Augmented Language Models
- TOUCAN: Synthesizing 1.5M Tool-Agentic Data from Real-World MCP Environments
- Qwen2.5 Technical Report
- Qwen3 Technical Report
- The Landscape of Agentic Reinforcement Learning for LLMs: A Survey
- A Multi-Task Embedder For Retrieval Augmented LLMs
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