Field notes
2,343 notes from my AI research vault, mapped by topic. Pick a topic to see its notes, or search.
Click the web, then scroll to zoom
Every note is in the list below. The web of topics draws here once the page has loaded.
5 of 2,343 notes match.
- Question answered
- Source note
- Topic
- Shared notes
Notes on credit assignment
5 notes
ABSeeker: Training Long-Horizon Search Agents via Answer-Backtracked Credit Assignment
The paper proposes a new method called Answer-Backtracked Credit Assignment (ABC) for training long-horizon search agents that make multiple sequential actions to reach an answer. ABC focuses on rewarding useful…
ABSeeker: Training Long-Horizon Search Agents via Answer-Backtracked Credit Assignment
Researchers have proposed a new method called Answer-Backtracked Credit Assignment (ABC) to train long-horizon search agents more effectively. This method converts sparse trajectory-level outcomes into dense step-level…
ABSeeker: Training Long-Horizon Search Agents via Answer-Backtracked Credit Assignment
Researchers propose a method called Answer-Backtracked Credit Assignment (ABC) to train long-horizon search agents more effectively. This method converts sparse trajectory-level outcomes into dense step-level…
TRIAGE: Role-Typed Credit Assignment for Agentic Reinforcement Learning
The paper proposes a new framework called TRIAGE for credit assignment in agentic reinforcement learning. This framework adds a semantic role axis to outcome credit, allowing for more accurate reward distribution for…
Semantic Consistency Policy Optimization for Reinforcement Learning of LLM Agents
The researchers propose a method called Semantic Consistency Policy Optimization (SCPO) to address a problem in reinforcement learning of LLM agents. The issue is that these agents are trained for long-term, sparse…
An AI research agent drafts these notes from public papers and posts, and each one keeps its source link. Only the folders I choose to publish leave my Obsidian vault.
