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Continuous Doubly Constrained Batch Reinforcement Learning

18 February 2021

Papers citing "Continuous Doubly Constrained Batch Reinforcement Learning"

39 / 39 papers shown

Title
Benchmarks for Deep Off-Policy Evaluation Justin Fu Mohammad Norouzi Ofir Nachum George Tucker Ziyun Wang ... Yutian Chen Aviral Kumar Cosmin Paduraru Sergey Levine T. Paine ELM OffRL 78 103 0 30 Mar 2021
Regularized Behavior Value Estimation Çağlar Gülçehre Sergio Gomez Colmenarejo Ziyun Wang Jakub Sygnowski T. Paine Konrad Zolna Yutian Chen Matthew W. Hoffman Razvan Pascanu Nando de Freitas OffRL 68 38 0 17 Mar 2021
Is Pessimism Provably Efficient for Offline RL? Ying Jin Zhuoran Yang Zhaoran Wang OffRL 172 358 0 30 Dec 2020
The Importance of Pessimism in Fixed-Dataset Policy Optimization Jacob Buckman Carles Gelada Marc G. Bellemare OffRL 81 138 0 15 Sep 2020
EMaQ: Expected-Max Q-Learning Operator for Simple Yet Effective Offline and Online RL Seyed Kamyar Seyed Ghasemipour Dale Schuurmans S. Gu OffRL 273 121 0 21 Jul 2020
Hyperparameter Selection for Offline Reinforcement Learning T. Paine Cosmin Paduraru Andrea Michi Çağlar Gülçehre Konrad Zolna Alexander Novikov Ziyun Wang Nando de Freitas GP OffRL 176 148 0 17 Jul 2020
DDPG++: Striving for Simplicity in Continuous-control Off-Policy Reinforcement Learning Rasool Fakoor Pratik Chaudhari Alex Smola OffRL 35 4 0 26 Jun 2020
Critic Regularized Regression Ziyun Wang Alexander Novikov Konrad Zolna Jost Tobias Springenberg Scott E. Reed ... Noah Y. Siegel J. Merel Çağlar Gülçehre N. Heess Nando de Freitas OffRL 150 327 0 26 Jun 2020
Conservative Q-Learning for Offline Reinforcement Learning Aviral Kumar Aurick Zhou George Tucker Sergey Levine OffRL OnRL 140 1,815 0 08 Jun 2020
MOPO: Model-based Offline Policy Optimization Tianhe Yu G. Thomas Lantao Yu Stefano Ermon James Zou Sergey Levine Chelsea Finn Tengyu Ma OffRL 76 770 0 27 May 2020
MOReL : Model-Based Offline Reinforcement Learning Rahul Kidambi Aravind Rajeswaran Praneeth Netrapalli Thorsten Joachims OffRL 96 672 0 12 May 2020
Controlling Overestimation Bias with Truncated Mixture of Continuous Distributional Quantile Critics Arsenii Kuznetsov Pavel Shvechikov Alexander Grishin Dmitry Vetrov 230 193 0 08 May 2020
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 558 2,029 0 04 May 2020
D4RL: Datasets for Deep Data-Driven Reinforcement Learning Justin Fu Aviral Kumar Ofir Nachum George Tucker Sergey Levine GP OffRL 223 1,368 0 15 Apr 2020
Keep Doing What Worked: Behavioral Modelling Priors for Offline Reinforcement Learning Noah Y. Siegel Jost Tobias Springenberg Felix Berkenkamp A. Abdolmaleki Michael Neunert Thomas Lampe Roland Hafner Nicolas Heess Martin Riedmiller OffRL 58 283 0 19 Feb 2020
Maxmin Q-learning: Controlling the Estimation Bias of Q-learning Qingfeng Lan Yangchen Pan Alona Fyshe Martha White 63 179 0 16 Feb 2020
Interpretable Off-Policy Evaluation in Reinforcement Learning by Highlighting Influential Transitions Omer Gottesman Joseph D. Futoma Yao Liu Soanli Parbhoo Leo Anthony Celi Emma Brunskill Finale Doshi-Velez OffRL 208 57 0 10 Feb 2020
The problem with DDPG: understanding failures in deterministic environments with sparse rewards Guillaume Matheron Nicolas Perrin Olivier Sigaud 35 67 0 26 Nov 2019
Behavior Regularized Offline Reinforcement Learning Yifan Wu George Tucker Ofir Nachum OffRL 89 687 0 26 Nov 2019
Advantage-Weighted Regression: Simple and Scalable Off-Policy Reinforcement Learning Xue Bin Peng Aviral Kumar Grace Zhang Sergey Levine OffRL 145 561 0 01 Oct 2019
Stabilizing Off-Policy Q-Learning via Bootstrapping Error Reduction Aviral Kumar Justin Fu George Tucker Sergey Levine OffRL OnRL 132 1,060 0 03 Jun 2019
P3O: Policy-on Policy-off Policy Optimization Rasool Fakoor Pratik Chaudhari Alex Smola OffRL 66 54 0 05 May 2019
Challenges of Real-World Reinforcement Learning Gabriel Dulac-Arnold D. Mankowitz Todd Hester OffRL 79 548 0 29 Apr 2019
Batch Policy Learning under Constraints Hoang Minh Le Cameron Voloshin Yisong Yue OffRL 58 331 0 20 Mar 2019
Off-Policy Deep Reinforcement Learning without Exploration Scott Fujimoto David Meger Doina Precup OffRL BDL 228 1,613 0 07 Dec 2018
An Algorithmic Perspective on Imitation Learning Takayuki Osa Joni Pajarinen Gerhard Neumann J. Andrew Bagnell Pieter Abbeel Jan Peters 88 845 0 16 Nov 2018
Addressing Function Approximation Error in Actor-Critic Methods Scott Fujimoto H. V. Hoof David Meger OffRL 175 5,187 0 26 Feb 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine 311 8,352 0 04 Jan 2018
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 499 19,065 0 20 Jul 2017
Deep Q-learning from Demonstrations Todd Hester Matej Vecerík Olivier Pietquin Marc Lanctot Tom Schaul ... Gabriel Dulac-Arnold Ian Osband J. Agapiou Joel Z Leibo A. Gruslys OffRL 54 155 0 12 Apr 2017
Count-Based Exploration with Neural Density Models Georg Ostrovski Marc G. Bellemare Aaron van den Oord Rémi Munos 84 623 0 03 Mar 2017
Deep Reinforcement Learning: An Overview Yuxi Li OffRL VLM 175 1,539 0 25 Jan 2017
Unifying Count-Based Exploration and Intrinsic Motivation Marc G. Bellemare S. Srinivasan Georg Ostrovski Tom Schaul D. Saxton Rémi Munos 174 1,478 0 06 Jun 2016
Dueling Network Architectures for Deep Reinforcement Learning Ziyun Wang Tom Schaul Matteo Hessel H. V. Hasselt Marc Lanctot Nando de Freitas OffRL 91 3,755 0 20 Nov 2015
Deep Reinforcement Learning with Double Q-learning H. V. Hasselt A. Guez David Silver OffRL 170 7,641 0 22 Sep 2015
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 320 13,248 0 09 Sep 2015
Trust Region Policy Optimization John Schulman Sergey Levine Philipp Moritz Michael I. Jordan Pieter Abbeel 277 6,776 0 19 Feb 2015
A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning Stéphane Ross Geoffrey J. Gordon J. Andrew Bagnell OffRL 222 3,221 0 02 Nov 2010
Estimating divergence functionals and the likelihood ratio by convex risk minimization X. Nguyen Martin J. Wainwright Michael I. Jordan 223 803 0 04 Sep 2008