Combining Q-Learning and Search with Amortized Value Estimates

5 December 2019

Jessica B. Hamrick

V. Bapst

Alvaro Sanchez-Gonzalez

Papers citing "Combining Q-Learning and Search with Amortized Value Estimates"

35 / 35 papers shown

Title
Optimal Robotic Assembly Sequence Planning: A Sequential Decision-Making Approach Kartik Nagpal Negar Mehr 54 0 0 26 Oct 2023
Action Guidance with MCTS for Deep Reinforcement Learning Bilal Kartal Pablo Hernandez-Leal Matthew E. Taylor 33 18 0 25 Jul 2019
Benchmarking Model-Based Reinforcement Learning Tingwu Wang Xuchan Bao I. Clavera Jerrick Hoang Yeming Wen Eric D. Langlois Matthew Shunshi Zhang Guodong Zhang Pieter Abbeel Jimmy Ba OffRL 59 363 0 03 Jul 2019
Policy Gradient Search: Online Planning and Expert Iteration without Search Trees Thomas W. Anthony Robert Nishihara Philipp Moritz Tim Salimans John Schulman 63 30 0 07 Apr 2019
Structured agents for physical construction V. Bapst Alvaro Sanchez-Gonzalez Carl Doersch Kimberly L. Stachenfeld Pushmeet Kohli Peter W. Battaglia Jessica B. Hamrick AI4CE 104 99 0 05 Apr 2019
Model-Based Reinforcement Learning for Atari Lukasz Kaiser Mohammad Babaeizadeh Piotr Milos B. Osinski R. Campbell ... Sergey Levine Afroz Mohiuddin Ryan Sepassi George Tucker Henryk Michalewski OffRL 112 859 0 01 Mar 2019
Unsupervised Visuomotor Control through Distributional Planning Networks Tianhe Yu Gleb Shevchuk Dorsa Sadigh Chelsea Finn SSL OffRL 52 42 0 14 Feb 2019
An investigation of model-free planning A. Guez M. Berk Mirza Karol Gregor Rishabh Kabra S. Racanière ... Laurent Orseau Tom Eccles Greg Wayne David Silver Timothy Lillicrap OffRL 71 114 0 11 Jan 2019
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
The Bottleneck Simulator: A Model-based Deep Reinforcement Learning Approach Iulian Serban Chinnadhurai Sankar Michael Pieper Joelle Pineau Yoshua Bengio OffRL 72 29 0 12 Jul 2018
Sample-Efficient Reinforcement Learning with Stochastic Ensemble Value Expansion Jacob Buckman Danijar Hafner George Tucker E. Brevdo Honglak Lee 82 331 0 04 Jul 2018
Surprising Negative Results for Generative Adversarial Tree Search Kamyar Azizzadenesheli Brandon Yang Weitang Liu Zachary Chase Lipton Anima Anandkumar 35 13 0 15 Jun 2018
Relational inductive biases, deep learning, and graph networks Peter W. Battaglia Jessica B. Hamrick V. Bapst Alvaro Sanchez-Gonzalez V. Zambaldi ... Pushmeet Kohli M. Botvinick Oriol Vinyals Yujia Li Razvan Pascanu AI4CE NAI 584 3,112 0 04 Jun 2018
Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models Kurtland Chua Roberto Calandra R. McAllister Sergey Levine BDL 196 1,272 0 30 May 2018
Universal Planning Networks A. Srinivas Allan Jabri Pieter Abbeel Sergey Levine Chelsea Finn SSL 68 145 0 02 Apr 2018
Model-Based Value Estimation for Efficient Model-Free Reinforcement Learning Vladimir Feinberg Alvin Wan Ion Stoica Michael I. Jordan Joseph E. Gonzalez Sergey Levine OffRL 56 317 0 28 Feb 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
M-Walk: Learning to Walk over Graphs using Monte Carlo Tree Search Yelong Shen Jianshu Chen Po-Sen Huang Yuqing Guo Jianfeng Gao 49 127 0 12 Feb 2018
Learning and Querying Fast Generative Models for Reinforcement Learning Lars Buesing T. Weber S. Racanière S. M. Ali Eslami Danilo Jimenez Rezende ... Fabio Viola F. Besse Karol Gregor Demis Hassabis Daan Wierstra OffRL 64 135 0 08 Feb 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine 279 8,313 0 04 Jan 2018
TreeQN and ATreeC: Differentiable Tree-Structured Models for Deep Reinforcement Learning Gregory Farquhar Tim Rocktaschel Maximilian Igl Shimon Whiteson OffRL 58 71 0 31 Oct 2017
Learning to Plan Chemical Syntheses Marwin H. S. Segler Mike Preuss M. Waller 72 1,371 0 14 Aug 2017
Imagination-Augmented Agents for Deep Reinforcement Learning T. Weber S. Racanière David P. Reichert Lars Buesing A. Guez ... Razvan Pascanu Peter W. Battaglia Demis Hassabis David Silver Daan Wierstra LM&Ro 82 556 0 19 Jul 2017
Learning model-based planning from scratch Razvan Pascanu Yujia Li Oriol Vinyals N. Heess Lars Buesing S. Racanière David P. Reichert T. Weber Daan Wierstra Peter W. Battaglia LM&Ro 99 98 0 19 Jul 2017
Value Prediction Network Junhyuk Oh Satinder Singh Honglak Lee 74 333 0 11 Jul 2017
Thinking Fast and Slow with Deep Learning and Tree Search Thomas W. Anthony Zheng Tian David Barber 87 395 0 23 May 2017
Metacontrol for Adaptive Imagination-Based Optimization Jessica B. Hamrick A. J. Ballard Razvan Pascanu Oriol Vinyals N. Heess Peter W. Battaglia 62 69 0 07 May 2017
QMDP-Net: Deep Learning for Planning under Partial Observability Peter Karkus David Hsu Wee Sun Lee PINN 90 156 0 20 Mar 2017
The Predictron: End-To-End Learning and Planning David Silver H. V. Hasselt Matteo Hessel Tom Schaul A. Guez ... Gabriel Dulac-Arnold David P. Reichert Neil C. Rabinowitz André Barreto T. Degris 62 291 0 28 Dec 2016
TensorFlow: A system for large-scale machine learning Martín Abadi P. Barham Jianmin Chen Zhiwen Chen Andy Davis ... Vijay Vasudevan Pete Warden Martin Wicke Yuan Yu Xiaoqiang Zhang GNN AI4CE 398 18,334 0 27 May 2016
Continuous Deep Q-Learning with Model-based Acceleration S. Gu Timothy Lillicrap Ilya Sutskever Sergey Levine 83 1,010 0 02 Mar 2016
Value Iteration Networks Aviv Tamar Yi Wu G. Thomas Sergey Levine Pieter Abbeel 73 653 0 09 Feb 2016
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.4K 149,842 0 22 Dec 2014
The Arcade Learning Environment: An Evaluation Platform for General Agents Marc G. Bellemare Yavar Naddaf J. Veness Michael Bowling 106 3,002 0 19 Jul 2012