5 papers
Modularized Reinforcement Learning on LLMs: From MDP Creation to Exploration and Learning
Zhao Yang, Yuxuan Jiang, Ting-Chih Chen +18
Reinforcement learning (RL) has become central to LLM post-training, yet the methods that dominate current pipelines, PPO and GRPO, represent only a narrow slice of what RL offers.…
Reinforcement Learning from Cross-domain Videos with Video Prediction Model
Zhao Yang, Xinrui Zu, Jacob E. Kooi +5
Reinforcement learning from expert videos across visually distinct domains is challenging due to the absence of reward signals and the presence of domain gaps. We introduce XIPER (…
OVA-IB: One vs All Information Bottleneck for Multi-Modal Alignment
Tianchao Li, Shujian Yu, Xinrui Zu +4
Contrastive learning is effective for aligning paired views or modalities, but alignment beyond two modalities remains non-trivial and comparatively underexplored. Pairwise CLIP-st…
StretchBot: A Neuro-Symbolic Framework for Adaptive Guidance with Assistive Robots
Luca Vogelgesang, Ahmed Mehdi Soltani, Mohammadhossein Khojasteh +4
Assistive robots have growing potential to support physical wellbeing in home and healthcare settings, for example, by guiding users through stretching or rehabilitation routines.…
COT Flow: Learning Optimal-Transport Image Sampling and Editing by Contrastive Pairs
Xinrui Zu, Qian Tao
Diffusion models have demonstrated strong performance in sampling and editing multi-modal data with high generation quality, yet they suffer from the iterative generation process w…