Echoverse: Deep, Evolving Environments for Training Computer-Use Agents at Scale | Paper Citation Record

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Echoverse: Deep, Evolving Environments for Training Computer-Use Agents at Scale Unresolved cited work

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Echoverse: Deep, Evolving Environments for Training Computer-Use Agents at Scale Unresolved cited work

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Echoverse: Deep, Evolving Environments for Training Computer-Use Agents at Scale Unresolved cited work

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Echoverse: Deep, Evolving Environments for Training Computer-Use Agents at Scale Unresolved cited work

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Echoverse: Deep, Evolving Environments for Training Computer-Use Agents at Scale and Del Verme, Manuel and Marty, Tom and Boisvert, L

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Echoverse: Deep, Evolving Environments for Training Computer-Use Agents at Scale Unresolved cited work

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Echoverse: Deep, Evolving Environments for Training Computer-Use Agents at Scale Unresolved cited work

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Echoverse: Deep, Evolving Environments for Training Computer-Use Agents at Scale Unresolved cited work

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Echoverse: Deep, Evolving Environments for Training Computer-Use Agents at Scale Unresolved cited work

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Echoverse: Deep, Evolving Environments for Training Computer-Use Agents at Scale Unresolved cited work

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Echoverse: Deep, Evolving Environments for Training Computer-Use Agents at Scale Unresolved cited work

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Echoverse: Deep, Evolving Environments for Training Computer-Use Agents at Scale Unresolved cited work

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Echoverse: Deep, Evolving Environments for Training Computer-Use Agents at Scale Unresolved cited work

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Echoverse: Deep, Evolving Environments for Training Computer-Use Agents at Scale 2026 , note =

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Echoverse: Deep, Evolving Environments for Training Computer-Use Agents at Scale Understanding

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Echoverse: Deep, Evolving Environments for Training Computer-Use Agents at Scale Unresolved cited work

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Echoverse: Deep, Evolving Environments for Training Computer-Use Agents at Scale , booktitle =

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Echoverse: Deep, Evolving Environments for Training Computer-Use Agents at Scale and Zhang, Hao and Gonzalez, Joseph E

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Echoverse: Deep, Evolving Environments for Training Computer-Use Agents at Scale , journal =

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Echoverse: Deep, Evolving Environments for Training Computer-Use Agents at Scale Advances in Neural Information Processing Systems (NeurIPS) , year =

Reference 27

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Echoverse: Deep, Evolving Environments for Training Computer-Use Agents at Scale International Conference on Machine Learning (ICML) , year =

Reference 28

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Echoverse: Deep, Evolving Environments for Training Computer-Use Agents at Scale Science , volume =

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Echoverse: Deep, Evolving Environments for Training Computer-Use Agents at Scale and Zhang, Hao and Stoica, Ion , booktitle =

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Echoverse: Deep, Evolving Environments for Training Computer-Use Agents at Scale Unresolved cited work

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Echoverse: Deep, Evolving Environments for Training Computer-Use Agents at Scale 2024 , howpublished =

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Echoverse: Deep, Evolving Environments for Training Computer-Use Agents at Scale 2025 , howpublished =

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Echoverse: Deep, Evolving Environments for Training Computer-Use Agents at Scale Gym-Anything: Turn any Software into an Agent Environment

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Echoverse: Deep, Evolving Environments for Training Computer-Use Agents at Scale Model context protocol

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Echoverse: Deep, Evolving Environments for Training Computer-Use Agents at Scale Fara-7B : An efficient agentic model for computer use

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Echoverse: Deep, Evolving Environments for Training Computer-Use Agents at Scale Fara-1.5: Scalable Learning Environments for Computer Use Agents

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Echoverse: Deep, Evolving Environments for Training Computer-Use Agents at Scale Browserbase: Headless browser infrastructure for AI agents

Reference 39

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Echoverse: Deep, Evolving Environments for Training Computer-Use Agents at Scale Inside A irbnb: Adding data to the debate

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Echoverse: Deep, Evolving Environments for Training Computer-Use Agents at Scale The BrowserGym Ecosystem for Web Agent Research

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Echoverse: Deep, Evolving Environments for Training Computer-Use Agents at Scale DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

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Echoverse: Deep, Evolving Environments for Training Computer-Use Agents at Scale Mind2Web : Towards a generalist agent for the web

Reference 43

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Echoverse: Deep, Evolving Environments for Training Computer-Use Agents at Scale Emergent complexity and zero-shot transfer via unsupervised environment design

Reference 44

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Echoverse: Deep, Evolving Environments for Training Computer-Use Agents at Scale Laradji, Manuel Del Verme, Tom Marty, L \'e o Boisvert, Megh Thakkar, Quentin Cappart, David Vazquez, Nicolas Chapados, and Alexandre Lacoste

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Echoverse: Deep, Evolving Environments for Training Computer-Use Agents at Scale WebVoyager: Building an End-to-End Web Agent with Large Multimodal Models

Reference 46

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Echoverse: Deep, Evolving Environments for Training Computer-Use Agents at Scale VisualWebArena : Evaluating multimodal agents on realistic visual web tasks

Reference 47

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Echoverse: Deep, Evolving Environments for Training Computer-Use Agents at Scale Gonzalez, Hao Zhang, and Ion Stoica

Reference 48

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Echoverse: Deep, Evolving Environments for Training Computer-Use Agents at Scale A practical recipe for training computer-use agents with reinforcement learning

Reference 49

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Echoverse: Deep, Evolving Environments for Training Computer-Use Agents at Scale Understanding R1-Zero-Like Training: A Critical Perspective

Reference 50

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Echoverse: Deep, Evolving Environments for Training Computer-Use Agents at Scale Playwright: Fast and reliable end-to-end testing for modern web apps

Reference 51

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Echoverse: Deep, Evolving Environments for Training Computer-Use Agents at Scale Evolving curricula with regret-based environment design

Reference 52

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Echoverse: Deep, Evolving Environments for Training Computer-Use Agents at Scale Automatic Curriculum Learning For Deep RL: A Short Survey

Reference 53

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Echoverse: Deep, Evolving Environments for Training Computer-Use Agents at Scale Qwen3.5 : Towards native multimodal agents

Reference 54

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Echoverse: Deep, Evolving Environments for Training Computer-Use Agents at Scale AndroidWorld : A dynamic benchmarking environment for autonomous agents

Reference 55

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Echoverse: Deep, Evolving Environments for Training Computer-Use Agents at Scale The Art of Building Verifiers for Computer Use Agents

Reference 56

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Echoverse: Deep, Evolving Environments for Training Computer-Use Agents at Scale DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 57

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Echoverse: Deep, Evolving Environments for Training Computer-Use Agents at Scale A general reinforcement learning algorithm that masters chess, shogi, and go through self-play

Reference 58

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Echoverse: Deep, Evolving Environments for Training Computer-Use Agents at Scale CUA-Gym: Scaling Verifiable Training Environments and Tasks for Computer-Use Agents

Reference 59

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Echoverse: Deep, Evolving Environments for Training Computer-Use Agents at Scale Paired Open-Ended Trailblazer (POET): Endlessly Generating Increasingly Complex and Diverse Learning Environments and Their Solutions

Reference 60

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Echoverse: Deep, Evolving Environments for Training Computer-Use Agents at Scale OSWorld : Benchmarking multimodal agents for open-ended tasks in real computer environments

Reference 61

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Echoverse: Deep, Evolving Environments for Training Computer-Use Agents at Scale An illusion of progress? assessing the current state of web agents

Reference 62

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Echoverse: Deep, Evolving Environments for Training Computer-Use Agents at Scale UltraCUA: A Foundation Model for Computer Use Agents with Hybrid Action

Reference 63

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Echoverse: Deep, Evolving Environments for Training Computer-Use Agents at Scale $\tau$-bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domains

Reference 64

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Echoverse: Deep, Evolving Environments for Training Computer-Use Agents at Scale Scaling Relationship on Learning Mathematical Reasoning with Large Language Models

Reference 65

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Echoverse: Deep, Evolving Environments for Training Computer-Use Agents at Scale Unresolved cited work

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Echoverse: Deep, Evolving Environments for Training Computer-Use Agents at Scale InfiniteWeb: Scalable Web Environment Synthesis for GUI Agent Training

Reference 67

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Echoverse: Deep, Evolving Environments for Training Computer-Use Agents at Scale Xing, Hao Zhang, Joseph E

Reference 68

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Observation bc4d1e93-a78d-4554-bd6d-5c17be9bf255 · outbound

This paper cites WebArena-Infinity : Generating browser environments with verifiable tasks at scale.

Echoverse: Deep, Evolving Environments for Training Computer-Use Agents at Scale WebArena-Infinity : Generating browser environments with verifiable tasks at scale

Reference 69

Resolution: unresolved; no resolver link, observed 2026-07-31T18:39:46.087631Z

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Observation 382e38aa-a57c-44c1-87ff-4f2fd95ecf20 · outbound

This paper cites Xu, Hao Zhu, Xuhui Zhou, Robert Lo, Abishek Sridhar, Xianyi Cheng, Tianyue Ou, Yonatan Bisk, Daniel Fried, Uri Alon, and Graham Neubig.

Echoverse: Deep, Evolving Environments for Training Computer-Use Agents at Scale Xu, Hao Zhu, Xuhui Zhou, Robert Lo, Abishek Sridhar, Xianyi Cheng, Tianyue Ou, Yonatan Bisk, Daniel Fried, Uri Alon, and Graham Neubig

Reference 70

Resolution: unresolved; no resolver link, observed 2026-07-31T18:39:46.194028Z

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Unavailable: canonical work link unavailable.

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