2 papers
cs.RO2025
DeGuV: Depth-Guided Visual Reinforcement Learning for Generalization and Interpretability in Manipulation
Tien Pham, Xinyun Chi, Khang Nguyen +2
Reinforcement learning (RL) agents can learn to solve complex tasks from visual inputs, but generalizing these learned skills to new environments remains a major challenge in RL ap…
cs.RO2025
Joint Action Language Modelling for Transparent Policy Execution
Theodor Wulff, Rahul Singh Maharjan, Xinyun Chi +1
An agent's intention often remains hidden behind the black-box nature of embodied policies. Communication using natural language statements that describe the next action can provid…