task planning
- Progress Reward Model for Reinforcement Learning via Large Language Models
- Robo2VLM: Improving Visual Question Answering using Large-Scale Robot Manipulation Data
- Towards Reliable Code-as-Policies: A Neuro-Symbolic Framework for Embodied Task Planning
- Tru-POMDP: Task Planning Under Uncertainty via Tree of Hypotheses and Open-Ended POMDPs
- VIKI‑R: Coordinating Embodied Multi-Agent Cooperation via Reinforcement Learning
- VLA-OS: Structuring and Dissecting Planning Representations and Paradigms in Vision-Language-Action Models