2 citations · 2 across the 4 of their papers we have counts for
4 papers
Model Evolution Framework with Genetic Algorithm for Multi-Task Reinforcement Learning
Yan Yu, Wengang Zhou, Yaodong Yang +3
Multi-task reinforcement learning employs a single policy to complete various tasks, aiming to develop an agent with generalizability across different scenarios. Given the shared c…
CINet: Realizing Incremental Trajectory Prediction with Prior-Aware Continual Causal Intervention
Xiaohe Li, Feilong Huang, Zide Fan +4
Trajectory prediction for multi-agents in complex scenarios is crucial for applications like autonomous driving. However, existing methods often overlook environmental biases, whic…
MetaTra: Meta-Learning for Generalized Trajectory Prediction in Unseen Domain
Xiaohe Li, Feilong Huang, Zide Fan +4
Trajectory prediction has garnered widespread attention in different fields, such as autonomous driving and robotic navigation. However, due to the significant variations in trajec…
Model-enhanced Vector Index
Hailin Zhang, Yujing Wang, Qi Chen +16
Embedding-based retrieval methods construct vector indices to search for document representations that are most similar to the query representations. They are widely used in docume…