VoyagerVision: Investigating the Role of Multi-modal Information for Open-ended Learning Systems
Fuente:
arXiv
Saved in:
| Main Authors: | Smyth, Ethan, Suglia, Alessandro |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Shaking Up VLMs: Comparing Transformers and Structured State Space Models for Vision & Language Modeling
by: Pantazopoulos, Georgios, et al.
Published: (2024)
by: Pantazopoulos, Georgios, et al.
Published: (2024)
Cooperative Open-ended Learning Framework for Zero-shot Coordination
by: Li, Yang, et al.
Published: (2023)
by: Li, Yang, et al.
Published: (2023)
FDRMFL:Multi-modal Federated Feature Extraction Model Based on Information Maximization and Contrastive Learning
by: Wu, Haozhe
Published: (2025)
by: Wu, Haozhe
Published: (2025)
Online Multi-modal Root Cause Identification in Microservice Systems
by: Zheng, Lecheng, et al.
Published: (2024)
by: Zheng, Lecheng, et al.
Published: (2024)
Multi-layer Cross-attention is Provably Optimal for Multi-modal In-context Learning
by: Barnfield, Nicholas, et al.
Published: (2026)
by: Barnfield, Nicholas, et al.
Published: (2026)
Multi-modal Multi-kernel Graph Learning for Autism Prediction and Biomarker Discovery
by: Liu, Jin, et al.
Published: (2023)
by: Liu, Jin, et al.
Published: (2023)
Generic Multi-modal Representation Learning for Network Traffic Analysis
by: Gioacchini, Luca, et al.
Published: (2024)
by: Gioacchini, Luca, et al.
Published: (2024)
Vision-Language Models are Zero-Shot Reward Models for Reinforcement Learning
by: Rocamonde, Juan, et al.
Published: (2023)
by: Rocamonde, Juan, et al.
Published: (2023)
Efficient and Generalized end-to-end Autonomous Driving System with Latent Deep Reinforcement Learning and Demonstrations
by: Tang, Zuojin, et al.
Published: (2024)
by: Tang, Zuojin, et al.
Published: (2024)
MM-Path: Multi-modal, Multi-granularity Path Representation Learning -- Extended Version
by: Xu, Ronghui, et al.
Published: (2024)
by: Xu, Ronghui, et al.
Published: (2024)
Balance-aware Sequence Sampling Makes Multi-modal Learning Better
by: Guan, Zhi-Hao
Published: (2025)
by: Guan, Zhi-Hao
Published: (2025)
IntentRL: Training Proactive User-intent Agents for Open-ended Deep Research via Reinforcement Learning
by: Luo, Haohao, et al.
Published: (2026)
by: Luo, Haohao, et al.
Published: (2026)
Safe RLHF-V: Safe Reinforcement Learning from Multi-modal Human Feedback
by: Ji, Jiaming, et al.
Published: (2025)
by: Ji, Jiaming, et al.
Published: (2025)
Rethinking Rubric Generation for Improving LLM Judge and Reward Modeling for Open-ended Tasks
by: Shen, William F., et al.
Published: (2026)
by: Shen, William F., et al.
Published: (2026)
Investigating the Role of Instruction Variety and Task Difficulty in Robotic Manipulation Tasks
by: Parekh, Amit, et al.
Published: (2024)
by: Parekh, Amit, et al.
Published: (2024)
FedMobile: Enabling Knowledge Contribution-aware Multi-modal Federated Learning with Incomplete Modalities
by: Liu, Yi, et al.
Published: (2025)
by: Liu, Yi, et al.
Published: (2025)
DistilCLIP-EEG: Enhancing Epileptic Seizure Detection Through Multi-modal Learning and Knowledge Distillation
by: Wang, Zexin, et al.
Published: (2025)
by: Wang, Zexin, et al.
Published: (2025)
Multi-modal Vision Pre-training for Medical Image Analysis
by: Rui, Shaohao, et al.
Published: (2024)
by: Rui, Shaohao, et al.
Published: (2024)
An end-to-end attention-based approach for learning on graphs
by: Buterez, David, et al.
Published: (2024)
by: Buterez, David, et al.
Published: (2024)
MLZero: A Multi-Agent System for End-to-end Machine Learning Automation
by: Fang, Haoyang, et al.
Published: (2025)
by: Fang, Haoyang, et al.
Published: (2025)
DeepLTL: Learning to Efficiently Satisfy Complex LTL Specifications for Multi-Task RL
by: Jackermeier, Mathias, et al.
Published: (2024)
by: Jackermeier, Mathias, et al.
Published: (2024)
Continual Reinforcement Learning for Cyber-Physical Systems: Lessons Learned and Open Challenges
by: Nolle, Kim N., et al.
Published: (2025)
by: Nolle, Kim N., et al.
Published: (2025)
UI-Voyager: A Self-Evolving GUI Agent Learning via Failed Experience
by: Lin, Zichuan, et al.
Published: (2026)
by: Lin, Zichuan, et al.
Published: (2026)
Probabilistic Performance Guarantees for Multi-Task Reinforcement Learning
by: Schnitzer, Yannik, et al.
Published: (2026)
by: Schnitzer, Yannik, et al.
Published: (2026)
Connector-S: A Survey of Connectors in Multi-modal Large Language Models
by: Zhu, Xun, et al.
Published: (2025)
by: Zhu, Xun, et al.
Published: (2025)
Unveiling Stochasticity: Universal Multi-modal Probabilistic Modeling for Traffic Forecasting
by: Xiong, Weijiang, et al.
Published: (2026)
by: Xiong, Weijiang, et al.
Published: (2026)
LEMMA-RCA: A Large Multi-modal Multi-domain Dataset for Root Cause Analysis
by: Zheng, Lecheng, et al.
Published: (2024)
by: Zheng, Lecheng, et al.
Published: (2024)
Challenges in Credit Assignment for Multi-Agent Reinforcement Learning in Open Agent Systems
by: Abadi, Alireza Saleh, et al.
Published: (2025)
by: Abadi, Alireza Saleh, et al.
Published: (2025)
AutoDiscovery: Open-ended Scientific Discovery via Bayesian Surprise
by: Agarwal, Dhruv, et al.
Published: (2025)
by: Agarwal, Dhruv, et al.
Published: (2025)
A Practical Guide for Evaluating LLMs and LLM-Reliant Systems
by: Rudd, Ethan M., et al.
Published: (2025)
by: Rudd, Ethan M., et al.
Published: (2025)
Mixed-Sample SGD: an End-to-end Analysis of Supervised Transfer Learning
by: Deng, Yuyang, et al.
Published: (2025)
by: Deng, Yuyang, et al.
Published: (2025)
Tackling Noisy Clients in Federated Learning with End-to-end Label Correction
by: Jiang, Xuefeng, et al.
Published: (2024)
by: Jiang, Xuefeng, et al.
Published: (2024)
TSRBench: A Comprehensive Multi-task Multi-modal Time Series Reasoning Benchmark for Generalist Models
by: Yu, Fangxu, et al.
Published: (2026)
by: Yu, Fangxu, et al.
Published: (2026)
Learning with Confidence
by: Richardson, Oliver Ethan
Published: (2025)
by: Richardson, Oliver Ethan
Published: (2025)
Investigating the Impact of Direct Punishment on the Emergence of Cooperation in Multi-Agent Reinforcement Learning Systems
by: Dasgupta, Nayana, et al.
Published: (2023)
by: Dasgupta, Nayana, et al.
Published: (2023)
Leveraging Foundational Models and Simple Fusion for Multi-modal Physiological Signal Analysis
by: Ghallab, Youssef, et al.
Published: (2025)
by: Ghallab, Youssef, et al.
Published: (2025)
M3-AD: Reflection-aware Multi-modal, Multi-category, and Multi-dimensional Benchmark and Framework for Industrial Anomaly Detection
by: Huang, Chao, et al.
Published: (2026)
by: Huang, Chao, et al.
Published: (2026)
Cultural Alien Sampler: Open-ended art generation balancing originality and coherence
by: Artiles, Alejandro H., et al.
Published: (2025)
by: Artiles, Alejandro H., et al.
Published: (2025)
Almost Sure Convergence of Differential Temporal Difference Learning for Average Reward Markov Decision Processes
by: Blaser, Ethan, et al.
Published: (2026)
by: Blaser, Ethan, et al.
Published: (2026)
FlipVQA: Scaling Multi-modal Instruction Tuning via Textbook-to-Knowledge Synthesis
by: Wong, Zhen Hao, et al.
Published: (2025)
by: Wong, Zhen Hao, et al.
Published: (2025)
Similar Items
-
Shaking Up VLMs: Comparing Transformers and Structured State Space Models for Vision & Language Modeling
by: Pantazopoulos, Georgios, et al.
Published: (2024) -
Cooperative Open-ended Learning Framework for Zero-shot Coordination
by: Li, Yang, et al.
Published: (2023) -
FDRMFL:Multi-modal Federated Feature Extraction Model Based on Information Maximization and Contrastive Learning
by: Wu, Haozhe
Published: (2025) -
Online Multi-modal Root Cause Identification in Microservice Systems
by: Zheng, Lecheng, et al.
Published: (2024) -
Multi-layer Cross-attention is Provably Optimal for Multi-modal In-context Learning
by: Barnfield, Nicholas, et al.
Published: (2026)