4 citations · 4 across the 12 of their papers we have counts for
5 papers · 1 filter
MrCoM: A Meta-Regularized World-Model Generalizing Across Multi-Scenarios
Xuantang Xiong, Ni Mu, Runpeng Xie +8
Model-based reinforcement learning (MBRL) is a crucial approach to enhance the generalization capabilities and improve the sample efficiency of RL algorithms. However, current MBRL…
SkillTree: Explainable Skill-Based Deep Reinforcement Learning for Long-Horizon Control Tasks
Yongyan Wen, Siyuan Li, Rongchang Zuo +3
Deep reinforcement learning (DRL) has achieved remarkable success in various research domains. However, its reliance on neural networks results in a lack of transparency, which lim…
An Imitative Reinforcement Learning Framework for Pursuit-Lock-Launch Missions
Siyuan Li, Rongchang Zuo, Bofei Liu +3
Unmanned Combat Aerial Vehicle (UCAV) Within-Visual-Range (WVR) engagement, referring to a fight between two or more UCAVs at close quarters, plays a decisive role on the aerial ba…
Auxiliary Reward Generation with Transition Distance Representation Learning
Siyuan Li, Shijie Han, Yingnan Zhao +2
Reinforcement learning (RL) has shown its strength in challenging sequential decision-making problems. The reward function in RL is crucial to the learning performance, as it serve…
Robust Visual Imitation Learning with Inverse Dynamics Representations
Siyuan Li, Xun Wang, Rongchang Zuo +5
Imitation learning (IL) has achieved considerable success in solving complex sequential decision-making problems. However, current IL methods mainly assume that the environment for…