activity
20232026
collaborators

5 papers

cs.RO2026

ALAM: Algebraically Consistent Latent Action Model for Vision-Language-Action Models

Zuojin Tang, Haoyun Liu, Xinyuan Chang +11

Vision-language-action (VLA) models remain constrained by the scarcity of action-labeled robot data, whereas action-free videos provide abundant evidence of how the physical world…

cs.CV2026

One Token Per Frame: Reconsidering Visual Bandwidth in World Models for VLA Policy

Zuojin Tang, Shengchao Yuan, Xiaoxin Bai +4

Vision-language-action (VLA) models can use visual prediction to anticipate future states, but dense visual features make the generative sequence grow with the number of camera vie…

cs.LG2025

Bidirectional Distillation: A Mixed-Play Framework for Multi-Agent Generalizable Behaviors

Lang Feng, Jiahao Lin, Dong Xing +3

Population-population generalization is a challenging problem in multi-agent reinforcement learning (MARL), particularly when agents encounter unseen co-players. However, existing…

cs.LG2024

Resisting Stochastic Risks in Diffusion Planners with the Trajectory Aggregation Tree

Lang Feng, Pengjie Gu, Bo An +1

Diffusion planners have shown promise in handling long-horizon and sparse-reward tasks due to the non-autoregressive plan generation. However, their inherent stochastic risk of gen…

cs.LG2023

FP3O: Enabling Proximal Policy Optimization in Multi-Agent Cooperation with Parameter-Sharing Versatility

Lang Feng, Dong Xing, Junru Zhang +1

Existing multi-agent PPO algorithms lack compatibility with different types of parameter sharing when extending the theoretical guarantee of PPO to cooperative multi-agent reinforc…