Adaptive Online Planning for Continual Lifelong Learning

Adaptive Online Planning for Continual Lifelong Learning

3 December 2019

Pieter Abbeel

Papers citing "Adaptive Online Planning for Continual Lifelong Learning"

19 / 19 papers shown

Title
Static and Dynamic Values of Computation in MCTS Eren Sezener Peter Dayan 54 5 0 11 Feb 2020
Exploring Model-based Planning with Policy Networks Tingwu Wang Jimmy Ba 71 148 0 20 Jun 2019
When to Trust Your Model: Model-Based Policy Optimization Michael Janner Justin Fu Marvin Zhang Sergey Levine OffRL 83 948 0 19 Jun 2019
Three scenarios for continual learning Gido M. van de Ven A. Tolias CLL 78 889 0 15 Apr 2019
Experience Replay for Continual Learning David Rolnick Arun Ahuja Jonathan Richard Schwarz Timothy Lillicrap Greg Wayne CLL 112 1,156 0 28 Nov 2018
Plan Online, Learn Offline: Efficient Learning and Exploration via Model-Based Control Kendall Lowrey Aravind Rajeswaran Sham Kakade G. Haro Igor Mordatch OffRL 61 225 0 05 Nov 2018
Model-Based Reinforcement Learning via Meta-Policy Optimization I. Clavera Jonas Rothfuss John Schulman Yasuhiro Fujita Tamim Asfour Pieter Abbeel 66 226 0 14 Sep 2018
Progress & Compress: A scalable framework for continual learning Jonathan Richard Schwarz Jelena Luketina Wojciech M. Czarnecki A. Grabska-Barwinska Yee Whye Teh Razvan Pascanu R. Hadsell CLL 108 886 0 16 May 2018
Model-Ensemble Trust-Region Policy Optimization Thanard Kurutach I. Clavera Yan Duan Aviv Tamar Pieter Abbeel 65 451 0 28 Feb 2018
Learning to Search with MCTSnets A. Guez T. Weber Ioannis Antonoglou Karen Simonyan Oriol Vinyals Daan Wierstra Rémi Munos David Silver 63 88 0 13 Feb 2018
Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations Aravind Rajeswaran Vikash Kumar Abhishek Gupta Giulia Vezzani John Schulman E. Todorov Sergey Levine 126 1,093 0 28 Sep 2017
Thinking Fast and Slow with Deep Learning and Tree Search Thomas W. Anthony Zheng Tian David Barber 87 395 0 23 May 2017
Towards Generalization and Simplicity in Continuous Control Aravind Rajeswaran Kendall Lowrey E. Todorov Sham Kakade OffRL 84 276 0 08 Mar 2017
Overcoming catastrophic forgetting in neural networks J. Kirkpatrick Razvan Pascanu Neil C. Rabinowitz J. Veness Guillaume Desjardins ... A. Grabska-Barwinska Demis Hassabis Claudia Clopath D. Kumaran R. Hadsell CLL 317 7,478 0 02 Dec 2016
OpenAI Gym Greg Brockman Vicki Cheung Ludwig Pettersson Jonas Schneider John Schulman Jie Tang Wojciech Zaremba OffRL ODL 204 5,073 0 05 Jun 2016
Model Predictive Path Integral Control using Covariance Variable Importance Sampling Grady Williams Andrew Aldrich Evangelos Theodorou 62 150 0 03 Sep 2015
An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks Ian Goodfellow M. Berk Mirza Xia Da Aaron Courville Yoshua Bengio 137 1,439 0 21 Dec 2013
Playing Atari with Deep Reinforcement Learning Volodymyr Mnih Koray Kavukcuoglu David Silver Alex Graves Ioannis Antonoglou Daan Wierstra Martin Riedmiller 114 12,201 0 19 Dec 2013
Non-stationary Stochastic Optimization Omar Besbes Y. Gur A. Zeevi 153 431 0 20 Jul 2013