Philipp Moritz

Publication Activity (10 Years)

Years Active: 2014-2022
Publications (10 Years): 15

Top Topics

Partial Observations

Distributed Systems

Top Venues

Publications

Romil Bhardwaj, Alexey Tumanov, Stephanie Wang, Richard Liaw, Philipp Moritz, Robert Nishihara, Ion Stoica
ESCHER: expressive scheduling with ephemeral resources. SoCC (2022)
Siyuan Zhuang, Zhuohan Li, Danyang Zhuo, Stephanie Wang, Eric Liang, Robert Nishihara, Philipp Moritz, Ion Stoica
Hoplite: efficient and fault-tolerant collective communication for task-based distributed systems. SIGCOMM (2021)
Siyuan Zhuang, Zhuohan Li, Danyang Zhuo, Stephanie Wang, Eric Liang, Robert Nishihara, Philipp Moritz, Ion Stoica
Hoplite: Efficient Collective Communication for Task-Based Distributed Systems. CoRR (2020)
Thomas Anthony, Robert Nishihara, Philipp Moritz, Tim Salimans, John Schulman
Policy Gradient Search: Online Planning and Expert Iteration without Search Trees. CoRR (2019)
Stephanie Wang, John Liagouris, Robert Nishihara, Philipp Moritz, Ujval Misra, Alexey Tumanov, Ion Stoica
Lineage stash: fault tolerance off the critical path. SOSP (2019)
Philipp Moritz, Robert Nishihara, Stephanie Wang, Alexey Tumanov, Richard Liaw, Eric Liang, Melih Elibol, Zongheng Yang, William Paul, Michael I. Jordan, Ion Stoica
Ray: A Distributed Framework for Emerging AI Applications. OSDI (2018)
Eric Liang, Richard Liaw, Robert Nishihara, Philipp Moritz, Roy Fox, Ken Goldberg, Joseph Gonzalez, Michael I. Jordan, Ion Stoica
RLlib: Abstractions for Distributed Reinforcement Learning. ICML (2018)
Richard Liaw, Eric Liang, Robert Nishihara, Philipp Moritz, Joseph E. Gonzalez, Ion Stoica
Tune: A Research Platform for Distributed Model Selection and Training. CoRR (2018)
Robert Nishihara, Philipp Moritz, Stephanie Wang, Alexey Tumanov, William Paul, Johann Schleier-Smith, Richard Liaw, Mehrdad Niknami, Michael I. Jordan, Ion Stoica
Real-Time Machine Learning: The Missing Pieces. HotOS (2017)
Philipp Moritz, Robert Nishihara, Stephanie Wang, Alexey Tumanov, Richard Liaw, Eric Liang, William Paul, Michael I. Jordan, Ion Stoica
Ray: A Distributed Framework for Emerging AI Applications. CoRR (2017)
Robert Nishihara, Philipp Moritz, Stephanie Wang, Alexey Tumanov, William Paul, Johann Schleier-Smith, Richard Liaw, Michael I. Jordan, Ion Stoica
Real-Time Machine Learning: The Missing Pieces. CoRR (2017)
Eric Liang, Richard Liaw, Robert Nishihara, Philipp Moritz, Roy Fox, Joseph Gonzalez, Ken Goldberg, Ion Stoica
Ray RLLib: A Composable and Scalable Reinforcement Learning Library. CoRR (2017)
John Schulman, Philipp Moritz, Sergey Levine, Michael I. Jordan, Pieter Abbeel
High-Dimensional Continuous Control Using Generalized Advantage Estimation. ICLR (Poster) (2016)
Philipp Moritz, Robert Nishihara, Ion Stoica, Michael I. Jordan
SparkNet: Training Deep Networks in Spark. ICLR (Poster) (2016)
Philipp Moritz, Robert Nishihara, Michael I. Jordan
A Linearly-Convergent Stochastic L-BFGS Algorithm. AISTATS (2016)
John Schulman, Sergey Levine, Philipp Moritz, Michael I. Jordan, Pieter Abbeel
Trust Region Policy Optimization. CoRR (2015)
John Schulman, Sergey Levine, Pieter Abbeel, Michael I. Jordan, Philipp Moritz
Trust Region Policy Optimization. ICML (2015)
Philipp Moritz, Robert Nishihara, Michael I. Jordan
A Linearly-Convergent Stochastic L-BFGS Algorithm. CoRR (2015)
Philipp Moritz, Jörg Reichardt, Nihat Ay
Discriminating between causal structures in Bayesian Networks given partial observations. Kybernetika 50 (2) (2014)