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Richard Liaw

  1. Ray: A Distributed Framework for Emerging AI Applications
    2017/12/16 by Philipp Moritz, Robert Nishihara, Moritz, Philipp +19 · 1 voice · 89 citations
    Computer Science · #Cloud Computing and Resource Management #Parallel Computing and Optimization Techniques #Reinforcement Learning in Robotics #cs.AI #cs.DC #cs.LG #stat.ML
  2. Tune: A Research Platform for Distributed Model Selection and Training
    2018/07/13 by Richard Liaw, Liaw, Richard, Eric Liang +9 · 39 citations
    Computer Science · #Data Stream Mining Techniques #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification #Parallel #and Cluster Computing (cs.DC)
  3. RLlib: Abstractions for Distributed Reinforcement Learning
    2017/12/26 by Eric Liang, Richard Liaw, Liang, Eric +15 · 1 voice · 3 citations
    Computer Science · Engineering · #Artificial Intelligence (cs.AI) #Distributed #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Modular Robots and Swarm Intelligence #Parallel #Reinforcement Learning in Robotics #and Cluster Computing (cs.DC) #cs.AI #cs.DC #cs.LG
  4. Large batch size training of neural networks with adversarial training and second-order information
    2018/10/02 by Zhewei Yao, Yao, Zhewei, Amir Gholami +11 · 2 citations
    Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Stochastic Gradient Optimization Techniques
  5. Real-Time Machine Learning: The Missing Pieces
    2017/03/11 by Robert Nishihara, Philipp Moritz, Nishihara, Robert +17 · 1 voice · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #Cloud Computing and Resource Management #Data Stream Mining Techniques #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Parallel #and Cluster Computing (cs.DC) #cs.AI #cs.DC #cs.LG
  6. Composing Meta-Policies for Autonomous Driving Using Hierarchical Deep Reinforcement Learning
    2017/11/04 by Richard Liaw, Sanjay Krishnan, Liaw, Richard +9 · 1 citation
    Computer Science · Engineering · #Artificial Intelligence (cs.AI) #Autonomous Vehicle Technology and Safety #FOS: Computer and information sciences #Reinforcement Learning in Robotics #Transportation and Mobility Innovations