RewardFlow: Topology-Aware Reward Propagation on State Graphs for Agentic RL with Large Language Models | ScienceToStartup | ScienceToStartup

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References (45)

[1]

SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning

2025Zhenghai Xue, Longtao Zheng et al.

[2]

VerlTool: Towards Holistic Agentic Reinforcement Learning with Tool Use

2025Dongfu Jiang, Yi Lu et al.

[3]

Agentic Reinforced Policy Optimization

Founder's Pitch

"RewardFlow provides a lightweight, topology-aware method to generate state-level rewards for agentic RL, improving LLM reasoning and training efficiency."

Agentic RL•Score: 7•View PDF ↗

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RewardFlow: Topology-Aware Reward Propagation on State Graphs for Agentic RL with Large Language Models

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References (45)

Founder's Pitch

"RewardFlow provides a lightweight, topology-aware method to generate state-level rewards for agentic RL, improving LLM reasoning and training efficiency."

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RewardFlow: Topology-Aware Reward Propagation on State Graphs for Agentic RL with Large Language Models

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References (45)

Founder's Pitch

"RewardFlow provides a lightweight, topology-aware method to generate state-level rewards for agentic RL, improving LLM reasoning and training efficiency."

Commercial Viability Breakdown

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