Agentic RL Daily

VOL. 004

7 research signals

DAILY EDITION / SAVED SNAPSHOT

Daily Signals: Digital Pantheon: Simulating and Auditing Coalition Formation with LLM Agents

A dated Agentic RL Daily snapshot with 7 verified primary-source signals across papers, official releases, deployment evidence, and safety or alignment findings.

EDITOR'S VIEW

Three judgments

  1. The edition is based only on primary sources or official project releases.
  2. Older signals remain visible as continuing observations, not as rewritten news.
  3. Headline claims are constrained by the evidence included in this dated snapshot.

FULL EDITION

All signals in this edition

Archived / 2026-07-17

02

PapersPapers

Plover: Steering GUI Agents through Plan-Centric Interaction

Plover: Steering GUI Agents through Plan-Centric Interaction

Graphical user interface (GUI) automation remains challenging in real-world environments, where dynamic layouts, unexpected dialogs, and evolving interface states can cause autonomous agents to drift from user intent.

Training AlgorithmsAgent Capabilities评估体系
arXiv ->

03

PapersPapers

Scaling Behavior Foundation Model for Humanoid Robots

Scaling Behavior Foundation Model for Humanoid Robots

Humanoid control requires natural whole-body coordination, precise real-time responses to control signals, and robust generalization across diverse environmental contexts, making it a cornerstone for generalist embodied agents.

Training AlgorithmsAgent Capabilities
arXiv ->

04

PapersPapers

OmniaBench: Benchmarking General AI Agents Across Diverse Scenarios

OmniaBench: Benchmarking General AI Agents Across Diverse Scenarios

Large language models are increasingly evolving from text generators into general agents capable of understanding user requests, invoking external tools, and completing complex tasks through interaction.

Training AlgorithmsAgent Capabilities评估体系
arXiv ->

07

IndustryIndustry

alibaba/ROLL v0.3.0

alibaba/ROLL v0.3.0

ROLL发布了v0.3.0版本,新增Video RLVR、AgentRunner 2.0、MTP训练、Router Replay、Multi-Teacher OPD等重要特性。

Training AlgorithmsReward and Credit AssignmentAgent CapabilitiesData LoopsSystems Engineering
GitHub ->