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#policy optimization

Talk2Move: Reinforcement Learning for Text-Instructed Object-Level Geometric Transformation in Scenes

Intermediate

Jing Tan, Zhaoyang Zhang et al.Jan 5arXiv

Talk2Move is a training recipe that lets an image editor move, rotate, and resize the exact object you mention using plain text, while keeping the rest of the picture stable.

#text-guided image editing#object-level transformation#reinforcement learning

VA-$π$: Variational Policy Alignment for Pixel-Aware Autoregressive Generation

Intermediate

Xinyao Liao, Qiyuan He et al.Dec 22arXiv

Autoregressive (AR) image models make pictures by choosing tokens one-by-one, but they were judged only on picking likely tokens, not on how good the final picture looks in pixels.

#autoregressive image generation#tokenizer–generator alignment#pixel-space reconstruction

From Imitation to Discrimination: Toward A Generalized Curriculum Advantage Mechanism Enhancing Cross-Domain Reasoning Tasks

Intermediate

Changpeng Yang, Jinyang Wu et al.Dec 2arXiv

This paper teaches AI models to reason better by first copying only good examples and later learning from mistakes too.

#Curriculum Advantage Policy Optimization#advantage-based RL#imitation learning

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