2 citations · 4 across the 5 of their papers we have counts for
5 papers
Intelligent Collaborative Optimization for Rubber Tyre Film Production Based on Multi-path Differentiated Clipping Proximal Policy Optimization
Yinghao Ruan, Wei Pang, Shuaihao Liu +3
The advent of smart manufacturing is addressing the limitations of traditional centralized scheduling and inflexible production line configurations in the rubber tyre industry, esp…
Reduced-Order Model-Guided Reinforcement Learning for Demonstration-Free Humanoid Locomotion
Shuai Liu, Meng Cheng Lau
We introduce Reduced-Order Model-Guided Reinforcement Learning (ROM-GRL), a two-stage reinforcement learning framework for humanoid walking that requires no motion capture data or…
Soft Q Network
Jingbin Liu, Shuai Liu, Xinyang Gu
Deep Q Network (DQN) is a very successful algorithm, yet the inherent problem of reinforcement learning, i.e. the exploit-explore balance, remains. In this work, we introduce entro…
Policy Optimization Reinforcement Learning with Entropy Regularization
Jingbin Liu, Xinyang Gu, Shuai Liu
Entropy regularization is an important idea in reinforcement learning, with great success in recent algorithms like Soft Q Network (SQN) and Soft Actor-Critic (SAC1). In this work,…
Reinforcement learning with world model
Jingbin Liu, Xinyang Gu, Shuai Liu
Nowadays, model-free reinforcement learning algorithms have achieved remarkable performance on many decision making and control tasks, but high sample complexity and low sample eff…