Keith W. Ross

1. Randomized Ensembled Double Q-Learning: Learning Fast Without a Model
   2021/01/15 by Xinyue Chen, Chen, Xinyue, Che Wang +5 · 41 citations
   Computer Science · #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and ELM
2. BAIL: Best-Action Imitation Learning for Batch Deep Reinforcement\n Learning
   2019/10/27 by Xinyue Chen, Zijian Zhou, Chen, Xinyue +9 · 7 citations
   Computer Science · #Reinforcement Learning in Robotics #Machine Learning and Data Classification #Adversarial Robustness in Machine Learning
3. I Know Where You are and What You are Sharing: Exploiting P2P Communications to Invade Users' Privacy
   2011/09/19 by Stevens Le Blond, Zhang Chao, Blond, Stevens Le +7 · 1 voice
   #cs.NI
4. Boosting Soft Actor-Critic: Emphasizing Recent Experience without Forgetting the Past
   2019/06/10 by Che Wang, Wang, Che, Keith W. Ross +1 · 4 citations
   Computer Science · #Adaptive Dynamic Programming Control #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics
5. VRL3: A Data-Driven Framework for Visual Deep Reinforcement Learning
   2022/02/17 by Che Wang, Wang, Che, Xufang Luo +5 · 4 citations
   Neuroscience · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Robotics (cs.RO) #Tactile and Sensory Interactions
6. Mathematical Reasoning in Large Language Models: Assessing Logical and Arithmetic Errors across Wide Numerical Ranges
   2025/02/12 by Safal Shrestha, Shrestha, Safal, Minwu Kim +3 · 10 citations
   Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Topic Modeling
7. Multi-task Batch Reinforcement Learning with Metric Learning
   2019/09/25 by Jiachen Li, Quan Vuong, Li, Jiachen +13 · 5 citations
   Computer Science · Engineering · #Reinforcement Learning in Robotics #Scheduling and Optimization Algorithms #Optimization and Search Problems
8. The Prevalence of Neural Collapse in Neural Multivariate Regression
   2024/09/06 by George Andriopoulos, Zixuan Dong, Andriopoulos, George +7 · 5 citations
   Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications
9. Supervised Policy Update for Deep Reinforcement Learning
   2018/05/29 by Quan Vuong, Vuong, Quan, Yiming Zhang +3 · 2 citations
   Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics #Robotics (cs.RO) #Systems and Control (eess.SY) #electronic engineering #information engineering
10. Aggressive Q-Learning with Ensembles: Achieving Both High Sample Efficiency and High Asymptotic Performance
    2021/11/17 by Yanqiu Wu, Wu, Yanqiu, Xinyue Chen +7 · 1 citation
    Computer Science · #Adaptive Dynamic Programming Control #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and ELM #Reinforcement Learning in Robotics
11. Reinforcement Learning vs. Distillation: Understanding Accuracy and Capability in LLM Reasoning
    2025/05/20 by Minwu Kim, Kim, Minwu, Anima Shrestha +7 · 5 citations
    Computer Science · Mathematics · Social Sciences · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Law #Computation and Language (cs.CL) #FOS: Computer and information sciences #Modeling, Simulation, and Optimization #Software Engineering Research