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Co-Adaptation of Algorithmic and Implementational Innovations in Inference-based Deep Reinforcement Learning

31 March 2021

Hiroki Furuta

Papers citing "Co-Adaptation of Algorithmic and Implementational Innovations in Inference-based Deep Reinforcement Learning"

50 / 53 papers shown

Title
Geometric-Averaged Preference Optimization for Soft Preference Labels Hiroki Furuta Kuang-Huei Lee Shixiang Shane Gu Y. Matsuo Aleksandra Faust Heiga Zen Izzeddin Gur 108 11 0 31 Dec 2024
Action and Perception as Divergence Minimization Danijar Hafner Pedro A. Ortega Jimmy Ba Thomas Parr Karl J. Friston N. Heess 67 53 0 03 Sep 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 153 327 0 26 Jun 2020
AWAC: Accelerating Online Reinforcement Learning with Offline Datasets Ashvin Nair Abhishek Gupta Murtaza Dalal Sergey Levine OffRL OnRL 107 612 0 16 Jun 2020
Hindsight Expectation Maximization for Goal-conditioned Reinforcement Learning Yunhao Tang A. Kucukelbir OffRL 46 16 0 13 Jun 2020
Acme: A Research Framework for Distributed Reinforcement Learning Matthew W. Hoffman Bobak Shahriari John Aslanides Gabriel Barth-Maron Nikola Momchev ... Srivatsan Srinivasan A. Cowie Ziyun Wang Bilal Piot Nando de Freitas 113 226 0 01 Jun 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 561 2,029 0 04 May 2020
Leverage the Average: an Analysis of KL Regularization in RL Nino Vieillard Tadashi Kozuno B. Scherrer Olivier Pietquin Rémi Munos Matthieu Geist 55 43 0 31 Mar 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
Making Sense of Reinforcement Learning and Probabilistic Inference Brendan O'Donoghue Ian Osband Catalin Ionescu OffRL 58 48 0 03 Jan 2020
A Divergence Minimization Perspective on Imitation Learning Methods Seyed Kamyar Seyed Ghasemipour R. Zemel S. Gu 80 250 0 06 Nov 2019
Advantage-Weighted Regression: Simple and Scalable Off-Policy Reinforcement Learning Xue Bin Peng Aviral Kumar Grace Zhang Sergey Levine OffRL 147 561 0 01 Oct 2019
V-MPO: On-Policy Maximum a Posteriori Policy Optimization for Discrete and Continuous Control H. F. Song A. Abdolmaleki Jost Tobias Springenberg Aidan Clark Hubert Soyer ... Dhruva Tirumala N. Heess Dan Belov Martin Riedmiller M. Botvinick 83 124 0 26 Sep 2019
Variational Inference MPC for Bayesian Model-based Reinforcement Learning Masashi Okada T. Taniguchi 75 77 0 08 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 68 364 0 03 Jul 2019
Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model Alex X. Lee Anusha Nagabandi Pieter Abbeel Sergey Levine OffRL BDL 85 382 0 01 Jul 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
A Theory of Regularized Markov Decision Processes Matthieu Geist B. Scherrer Olivier Pietquin 128 331 0 31 Jan 2019
Soft Actor-Critic Algorithms and Applications Tuomas Haarnoja Aurick Zhou Kristian Hartikainen George Tucker Sehoon Ha ... Vikash Kumar Henry Zhu Abhishek Gupta Pieter Abbeel Sergey Levine 136 2,445 0 13 Dec 2018
Relative Entropy Regularized Policy Iteration A. Abdolmaleki Jost Tobias Springenberg Jonas Degrave Steven Bohez Yuval Tassa Dan Belov N. Heess Martin Riedmiller 63 72 0 05 Dec 2018
VIREL: A Variational Inference Framework for Reinforcement Learning M. Fellows Anuj Mahajan Tim G. J. Rudner Shimon Whiteson DRL 59 56 0 03 Nov 2018
Self-Imitation Learning Junhyuk Oh Yijie Guo Satinder Singh Honglak Lee SSL 62 251 0 14 Jun 2018
Maximum a Posteriori Policy Optimisation A. Abdolmaleki Jost Tobias Springenberg Yuval Tassa Rémi Munos N. Heess Martin Riedmiller 71 477 0 14 Jun 2018
Reinforcement Learning and Control as Probabilistic Inference: Tutorial and Review Sergey Levine AI4CE BDL 82 674 0 02 May 2018
Variance Reduction for Policy Gradient with Action-Dependent Factorized Baselines Cathy Wu Aravind Rajeswaran Yan Duan Vikash Kumar Alexandre M. Bayen Sham Kakade Igor Mordatch Pieter Abbeel OffRL 61 153 0 20 Mar 2018
The Mirage of Action-Dependent Baselines in Reinforcement Learning George Tucker Surya Bhupatiraju S. Gu Richard Turner Zoubin Ghahramani Sergey Levine OffRL 70 127 0 27 Feb 2018
Addressing Function Approximation Error in Actor-Critic Methods Scott Fujimoto H. V. Hoof David Meger OffRL 180 5,187 0 26 Feb 2018
Expected Policy Gradients for Reinforcement Learning K. Ciosek Shimon Whiteson 77 52 0 10 Jan 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
DeepMind Control Suite Yuval Tassa Yotam Doron Alistair Muldal Tom Erez Yazhe Li ... A. Abdolmaleki J. Merel Andrew Lefrancq Timothy Lillicrap Martin Riedmiller ELM LM&Ro BDL 133 1,136 0 02 Jan 2018
Backpropagation through the Void: Optimizing control variates for black-box gradient estimation Will Grathwohl Dami Choi Yuhuai Wu Geoffrey Roeder David Duvenaud 99 300 0 31 Oct 2017
Rainbow: Combining Improvements in Deep Reinforcement Learning Matteo Hessel Joseph Modayil H. V. Hasselt Tom Schaul Georg Ostrovski Will Dabney Dan Horgan Bilal Piot M. G. Azar David Silver OffRL 107 2,265 0 06 Oct 2017
Deep Reinforcement Learning that Matters Peter Henderson Riashat Islam Philip Bachman Joelle Pineau Doina Precup David Meger OffRL 118 1,954 0 19 Sep 2017
Reproducibility of Benchmarked Deep Reinforcement Learning Tasks for Continuous Control Riashat Islam Peter Henderson Maziar Gomrokchi Doina Precup BDL OffRL 75 253 0 10 Aug 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 517 19,065 0 20 Jul 2017
Interpolated Policy Gradient: Merging On-Policy and Off-Policy Gradient Estimation for Deep Reinforcement Learning S. Gu Timothy Lillicrap Zoubin Ghahramani Richard Turner Bernhard Schölkopf Sergey Levine OffRL 76 165 0 01 Jun 2017
Reinforcement Learning with Deep Energy-Based Policies Tuomas Haarnoja Haoran Tang Pieter Abbeel Sergey Levine 110 1,340 0 27 Feb 2017
Improving Policy Gradient by Exploring Under-appreciated Rewards Ofir Nachum Mohammad Norouzi Dale Schuurmans 78 44 0 28 Nov 2016
Sequence Tutor: Conservative Fine-Tuning of Sequence Generation Models with KL-control Natasha Jaques S. Gu Dzmitry Bahdanau José Miguel Hernández-Lobato Richard Turner Douglas Eck 74 173 0 09 Nov 2016
Q-Prop: Sample-Efficient Policy Gradient with An Off-Policy Critic S. Gu Timothy Lillicrap Zoubin Ghahramani Richard Turner Sergey Levine OffRL BDL 88 345 0 07 Nov 2016
Reward Augmented Maximum Likelihood for Neural Structured Prediction Mohammad Norouzi Samy Bengio Zhiwen Chen Navdeep Jaitly M. Schuster Yonghui Wu Dale Schuurmans 85 253 0 01 Sep 2016
Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm Qiang Liu Dilin Wang BDL 73 1,092 0 16 Aug 2016
Layer Normalization Jimmy Lei Ba J. Kiros Geoffrey E. Hinton 413 10,494 0 21 Jul 2016
Safe and Efficient Off-Policy Reinforcement Learning Rémi Munos T. Stepleton Anna Harutyunyan Marc G. Bellemare OffRL 138 615 0 08 Jun 2016
Benchmarking Deep Reinforcement Learning for Continuous Control Yan Duan Xi Chen Rein Houthooft John Schulman Pieter Abbeel OffRL 82 1,694 0 22 Apr 2016
Continuous Deep Q-Learning with Model-based Acceleration S. Gu Timothy Lillicrap Ilya Sutskever Sergey Levine 91 1,013 0 02 Mar 2016
Taming the Noise in Reinforcement Learning via Soft Updates Roy Fox Ari Pakman Naftali Tishby 84 338 0 28 Dec 2015
Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs) Djork-Arné Clevert Thomas Unterthiner Sepp Hochreiter 300 5,524 0 23 Nov 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