Safe and Efficient Off-Policy Reinforcement Learning

8 June 2016

Papers citing "Safe and Efficient Off-Policy Reinforcement Learning"

50 / 155 papers shown

Title
Efficiently Breaking the Curse of Horizon in Off-Policy Evaluation with Double Reinforcement Learning Nathan Kallus Masatoshi Uehara OffRL 26 88 0 12 Sep 2019
Dynamics-aware Embeddings William F. Whitney Rajat Agarwal Kyunghyun Cho Abhinav Gupta SSL 25 53 0 25 Aug 2019
Double Reinforcement Learning for Efficient Off-Policy Evaluation in Markov Decision Processes Nathan Kallus Masatoshi Uehara OffRL 41 183 0 22 Aug 2019
Modified Actor-Critics Erinc Merdivan S. Hanke M. Geist 24 2 0 02 Jul 2019
Learning the Arrow of Time Nasim Rahaman Steffen Wolf Anirudh Goyal Roman Remme Yoshua Bengio 14 5 0 02 Jul 2019
Compositional Transfer in Hierarchical Reinforcement Learning Markus Wulfmeier A. Abdolmaleki Roland Hafner Jost Tobias Springenberg Michael Neunert Tim Hertweck Thomas Lampe Noah Y. Siegel N. Heess Martin Riedmiller 30 27 0 26 Jun 2019
When to use parametric models in reinforcement learning? H. V. Hasselt Matteo Hessel John Aslanides 46 189 0 12 Jun 2019
Importance Resampling for Off-policy Prediction M. Schlegel Wesley Chung Daniel Graves Jian Qian Martha White OffRL 14 41 0 11 Jun 2019
Intrinsically Efficient, Stable, and Bounded Off-Policy Evaluation for Reinforcement Learning Nathan Kallus Masatoshi Uehara OffRL 22 54 0 09 Jun 2019
Meta reinforcement learning as task inference Jan Humplik Alexandre Galashov Leonard Hasenclever Pedro A. Ortega Yee Whye Teh N. Heess OffRL 38 127 0 15 May 2019
Trajectory-Based Off-Policy Deep Reinforcement Learning Andreas Doerr Michael Volpp Marc Toussaint Sebastian Trimpe Christian Daniel OffRL 29 2 0 14 May 2019
P3O: Policy-on Policy-off Policy Optimization Rasool Fakoor Pratik Chaudhari Alex Smola OffRL 29 51 0 05 May 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 30 99 0 05 Apr 2019
Sample-Efficient Model-Free Reinforcement Learning with Off-Policy Critics Denis Steckelmacher Hélène Plisnier D. Roijers A. Nowé OffRL 26 17 0 11 Mar 2019
Diagnosing Bottlenecks in Deep Q-learning Algorithms Justin Fu Aviral Kumar Matthew Soh Sergey Levine OffRL 19 141 0 26 Feb 2019
World Discovery Models M. G. Azar Bilal Piot Bernardo Avila-Pires Jean-Bastien Grill Florent Altché Rémi Munos 23 26 0 20 Feb 2019
Beyond Confidence Regions: Tight Bayesian Ambiguity Sets for Robust MDPs Marek Petrik R. Russel 27 61 0 20 Feb 2019
Emergent Coordination Through Competition Siqi Liu Guy Lever J. Merel S. Tunyasuvunakool N. Heess T. Graepel 47 149 0 19 Feb 2019
Value constrained model-free continuous control Steven Bohez A. Abdolmaleki Michael Neunert J. Buchli N. Heess R. Hadsell 24 62 0 12 Feb 2019
Robust Temporal Difference Learning for Critical Domains R. Klíma D. Bloembergen Michael Kaisers K. Tuyls AAML 27 11 0 23 Jan 2019
Understanding Multi-Step Deep Reinforcement Learning: A Systematic Study of the DQN Target J. F. Hernandez-Garcia R. Sutton 27 61 0 22 Jan 2019
Imitation-Regularized Offline Learning Yifei Ma Yu Wang Balakrishnan Balakrishnan Narayanaswamy OffRL 14 22 0 15 Jan 2019
TD-Regularized Actor-Critic Methods Simone Parisi Voot Tangkaratt Jan Peters Mohammad Emtiyaz Khan OffRL 30 32 0 19 Dec 2018
Dopamine: A Research Framework for Deep Reinforcement Learning Pablo Samuel Castro Subhodeep Moitra Carles Gelada Saurabh Kumar Marc G. Bellemare OffRL 28 276 0 14 Dec 2018
Top-K Off-Policy Correction for a REINFORCE Recommender System Minmin Chen Alex Beutel Paul Covington Sagar Jain Francois Belletti Ed H. Chi CML OffRL 33 474 0 06 Dec 2018
Relative Entropy Regularized Policy Iteration A. Abdolmaleki Jost Tobias Springenberg Jonas Degrave Steven Bohez Yuval Tassa Dan Belov N. Heess Martin Riedmiller 27 72 0 05 Dec 2018
Woulda, Coulda, Shoulda: Counterfactually-Guided Policy Search Lars Buesing T. Weber Yori Zwols S. Racanière A. Guez Jean-Baptiste Lespiau N. Heess CML 37 135 0 15 Nov 2018
VIREL: A Variational Inference Framework for Reinforcement Learning M. Fellows Anuj Mahajan Tim G. J. Rudner Shimon Whiteson DRL 38 54 0 03 Nov 2018
Per-decision Multi-step Temporal Difference Learning with Control Variates Kristopher De Asis R. Sutton 22 7 0 05 Jul 2018
RUDDER: Return Decomposition for Delayed Rewards Jose A. Arjona-Medina Michael Gillhofer Michael Widrich Thomas Unterthiner Johannes Brandstetter Sepp Hochreiter 35 213 0 20 Jun 2018
Maximum a Posteriori Policy Optimisation A. Abdolmaleki Jost Tobias Springenberg Yuval Tassa Rémi Munos N. Heess Martin Riedmiller 48 471 0 14 Jun 2018
Qualitative Measurements of Policy Discrepancy for Return-Based Deep Q-Network Wenjia Meng Qian Zheng L. Yang Pengfei Li Gang Pan 20 21 0 14 Jun 2018
Sample-Efficient Deep Reinforcement Learning via Episodic Backward Update Su Young Lee Sung-Ik Choi Sae-Young Chung BDL 21 73 0 31 May 2018
Meta-Gradient Reinforcement Learning Zhongwen Xu H. V. Hasselt David Silver 53 324 0 24 May 2018
Data-Efficient Hierarchical Reinforcement Learning Ofir Nachum S. Gu Honglak Lee Sergey Levine OffRL 68 797 0 21 May 2018
Constrained Policy Improvement for Safe and Efficient Reinforcement Learning Elad Sarafian Aviv Tamar Sarit Kraus OffRL 32 11 0 20 May 2018
Episodic Memory Deep Q-Networks Zichuan Lin Tianqi Zhao Guangwen Yang Lintao Zhang OffRL 24 85 0 19 May 2018
Multi-Goal Reinforcement Learning: Challenging Robotics Environments and Request for Research Matthias Plappert Marcin Andrychowicz Alex Ray Bob McGrew Bowen Baker ... Joshua Tobin Maciek Chociej Peter Welinder Vikash Kumar Wojciech Zaremba 33 557 0 26 Feb 2018
Fully Decentralized Multi-Agent Reinforcement Learning with Networked Agents Kaipeng Zhang Zhuoran Yang Han Liu Tong Zhang Tamer Basar 43 581 0 23 Feb 2018
More Robust Doubly Robust Off-policy Evaluation Mehrdad Farajtabar Yinlam Chow Mohammad Ghavamzadeh OffRL 15 264 0 10 Feb 2018
A Unified Approach for Multi-step Temporal-Difference Learning with Eligibility Traces in Reinforcement Learning Long Yang Minhao Shi Qian Zheng Wenjia Meng Gang Pan 25 23 0 09 Feb 2018
IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures L. Espeholt Hubert Soyer Rémi Munos Karen Simonyan Volodymyr Mnih ... Vlad Firoiu Tim Harley Iain Dunning Shane Legg Koray Kavukcuoglu 63 1,578 0 05 Feb 2018
Pretraining Deep Actor-Critic Reinforcement Learning Algorithms With Expert Demonstrations Xiaoqin Zhang Huimin Ma OffRL 43 38 0 31 Jan 2018
A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning Marc Lanctot V. Zambaldi A. Gruslys Angeliki Lazaridou K. Tuyls Julien Perolat David Silver T. Graepel 50 628 0 02 Nov 2017
Revisiting the Arcade Learning Environment: Evaluation Protocols and Open Problems for General Agents Marlos C. Machado Marc G. Bellemare Erik Talvitie J. Veness Matthew J. Hausknecht Michael Bowling 37 544 0 18 Sep 2017
A Brief Survey of Deep Reinforcement Learning Kai Arulkumaran M. Deisenroth Miles Brundage Anil Anthony Bharath OffRL 65 2,780 0 19 Aug 2017
The Reactor: A fast and sample-efficient Actor-Critic agent for Reinforcement Learning A. Gruslys Will Dabney M. G. Azar Bilal Piot Marc G. Bellemare Rémi Munos 21 58 0 15 Apr 2017
Deep Exploration via Randomized Value Functions Ian Osband Benjamin Van Roy Daniel Russo Zheng Wen 41 300 0 22 Mar 2017
Using Options and Covariance Testing for Long Horizon Off-Policy Policy Evaluation Z. Guo Philip S. Thomas Emma Brunskill OffRL 21 2 0 09 Mar 2017
Neural Episodic Control Alexander Pritzel Benigno Uria Sriram Srinivasan A. Badia Oriol Vinyals Demis Hassabis Daan Wierstra Charles Blundell OffRL BDL 35 345 0 06 Mar 2017