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Belief Embedding Tree Search

BACKGROUND

1 SIGNALFIRST DETECTED 15 October 2026

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How the story developed

15 Oct

Belief Embedding Tree Search

REPORT · WHAT · ArXiv CS.AI

3.1

Other feeds and industry voices

31 Mar

SkyNet: Belief-Aware Planning for Partially-Observable Stochastic Games

arXiv:2603.27751v1 Announce Type: new Abstract: In 2019, Google DeepMind released MuZero, a model-based reinforcement learning method that achieves strong results in

REPORT · WHERE · ArXiv CS.AIOPEN STORY

30 Jul

Belief-Guided Decision Making with Uncertainty Gating in the Game of Go

arXiv:2607.26946v1 Announce Type: new Abstract: Recent advancements in Computer Go, driven by AlphaZero and MuZero, rely heavily on Monte Carlo Tree Search (MCTS) to correct the

REPORT · WHERE · ArXiv CS.AIOPEN STORY

9 May

Belief Memory: Agent Memory Under Partial Observability

arXiv:2605.05583v1 Announce Type: new Abstract: LLM agents that operate over long context depend on external memory to accumulate knowledge over time. However, existing methods

REPORT · WHAT · ArXiv CS.AIOPEN STORY

23 Mar

Learning Dynamic Belief Graphs for Theory-of-mind Reasoning

arXiv:2603.20170v1 Announce Type: new Abstract: Theory of Mind (ToM) reasoning with Large Language Models (LLMs) requires inferring how people's implicit, evolving beliefs shape

REPORT · HOW · ArXiv CS.AIOPEN STORY

29 May

Differentiable Belief-based Opponent Shaping

arXiv:2605.29042v1 Announce Type: new Abstract: Human coordination often relies on the ability to influence the beliefs of others through strategic action. In multi-agent

REPORT · WHAT · ArXiv CS.AIOPEN STORY

12 Sept

Fork Where the Model Changes Its Mind: Belief-Shift Branching for Tree-Structured Reinforcement Learning

arXiv:2609.11061v1 Announce Type: new Abstract: Tree-structured rollouts give critic-free reinforcement learning with verifiable rewards (RLVR) step-level credit: fork a chain at

REPORT · WHERE · ArXiv CS.AIOPEN STORY

11 Jun

TreeSeeker: Tree-Structured Trial, Error, and Return in Deep Search

arXiv:2606.11662v1 Announce Type: new Abstract: Deep search requires agents to answer complex questions through multi-step web search, browsing, evidence comparison, and

REPORT · WHEN · ArXiv CS.AIOPEN STORY

Sources

ArXiv CS.AI

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