1 citations · 1 across the 1 of their papers we have counts for
4 papers
TemplateRL: Structured Template-Guided Reinforcement Learning for LLM Reasoning
Jinyang Wu, Chonghua Liao, Mingkuan Feng +6
Reinforcement learning (RL) has emerged as an effective paradigm for enhancing model reasoning. However, existing RL methods like GRPO typically rely on unstructured self-sampling…
RoboGolf: Mastering Real-World Minigolf with a Reflective Multi-Modality Vision-Language Model
Hantao Zhou, Tianying Ji, Lukas Sommerhalder +5
Minigolf is an exemplary real-world game for examining embodied intelligence, requiring challenging spatial and kinodynamic understanding to putt the ball. Additionally, reflective…
OMPO: A Unified Framework for RL under Policy and Dynamics Shifts
Yu Luo, Tianying Ji, Fuchun Sun +3
Training reinforcement learning policies using environment interaction data collected from varying policies or dynamics presents a fundamental challenge. Existing works often overl…
Offline-Boosted Actor-Critic: Adaptively Blending Optimal Historical Behaviors in Deep Off-Policy RL
Yu Luo, Tianying Ji, Fuchun Sun +3
Off-policy reinforcement learning (RL) has achieved notable success in tackling many complex real-world tasks, by leveraging previously collected data for policy learning. However,…