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cs.LG2026
WestWorld: A Knowledge-Encoded Scalable Trajectory World Model for Diverse Robotic Systems
Yuchen Wang, Jiangtao Kong, Sizhe Wei +6
Trajectory world models play a crucial role in robotic dynamics learning, planning, and control. While recent works have explored trajectory world models for diverse robotic system…
cs.LG2024
Hybrid Memory Replay: Blending Real and Distilled Data for Class Incremental Learning
Jiangtao Kong, Jiacheng Shi, Ashley Gao +3
Incremental learning (IL) aims to acquire new knowledge from current tasks while retaining knowledge learned from previous tasks. Replay-based IL methods store a set of exemplars f…
cs.LG2023★ 1 cited
Condensed Prototype Replay for Class Incremental Learning
Jiangtao Kong, Zhenyu Zong, Tianyi Zhou +1
Incremental learning (IL) suffers from catastrophic forgetting of old tasks when learning new tasks. This can be addressed by replaying previous tasks' data stored in a memory, whi…