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Found 4 papers, 1 papers with code
CoCoT: Contrastive Chain-of-Thought Prompting for Large Multimodal Models with Multiple Image Inputs
When exploring the development of Artificial General Intelligence (AGI), a critical task for these models involves interpreting and processing information from multiple image inputs.
Ranked #3 on
Visual Reasoning
on Winoground
Model-based Offline Policy Optimization with Adversarial Network
Model-based offline reinforcement learning (RL), which builds a supervised transition model with logging dataset to avoid costly interactions with the online environment, has been a promising approach for offline policy optimization.
Making Offline RL Online: Collaborative World Models for Offline Visual Reinforcement Learning
Training offline reinforcement learning (RL) models using visual inputs poses two significant challenges, i. e., the overfitting problem in representation learning and the overestimation bias for expected future rewards.
Deep Learning for Stock Selection Based on High Frequency Price-Volume Data
Training a practical and effective model for stock selection has been a greatly concerned problem in the field of artificial intelligence.
