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Muesli: Combining Improvements in Policy Optimization

13 April 2021

Ivo Danihelka

David Silver

Papers citing "Muesli: Combining Improvements in Policy Optimization"

50 / 60 papers shown

Title
OptionZero: Planning with Learned Options Po-Wei Huang Pei-Chiun Peng Hung Guei Ti-Rong Wu 102 1 0 23 Feb 2025
Beyond The Rainbow: High Performance Deep Reinforcement Learning on a Desktop PC Tyler Clark Mark Towers Christine Evers Jonathon Hare OffRL 138 1 0 06 Nov 2024
Value Improved Actor Critic Algorithms Yaniv Oren Moritz A. Zanger Pascal R. van der Vaart M. Spaan Wendelin Bohmer Wendelin Bohmer OffRL 77 0 0 03 Jun 2024
Learning and Planning in Complex Action Spaces Thomas Hubert Julian Schrittwieser Ioannis Antonoglou M. Barekatain Simon Schmitt David Silver 75 79 0 13 Apr 2021
Online and Offline Reinforcement Learning by Planning with a Learned Model Julian Schrittwieser Thomas Hubert Amol Mandhane M. Barekatain Ioannis Antonoglou David Silver OffRL 68 117 0 13 Apr 2021
Podracer architectures for scalable Reinforcement Learning Matteo Hessel M. Kroiss Aidan Clark Iurii Kemaev John Quan Thomas Keck Fabio Viola H. V. Hasselt 54 39 0 13 Apr 2021
On the role of planning in model-based deep reinforcement learning Jessica B. Hamrick A. Friesen Feryal M. P. Behbahani A. Guez Fabio Viola Sims Witherspoon Thomas W. Anthony Lars Buesing Petar Velickovic T. Weber OffRL 82 66 0 08 Nov 2020
The Value Equivalence Principle for Model-Based Reinforcement Learning Christopher Grimm André Barreto Satinder Singh David Silver OffRL 49 85 0 06 Nov 2020
Local Search for Policy Iteration in Continuous Control Jost Tobias Springenberg N. Heess D. Mankowitz J. Merel Arunkumar Byravan ... Julian Schrittwieser Yuval Tassa J. Buchli Dan Belov Martin Riedmiller OffRL 67 15 0 12 Oct 2020
Mastering Atari with Discrete World Models Danijar Hafner Timothy Lillicrap Mohammad Norouzi Jimmy Ba DRL 117 869 0 05 Oct 2020
Phasic Policy Gradient K. Cobbe Jacob Hilton Oleg Klimov John Schulman OffRL 62 159 0 09 Sep 2020
Model-based Reinforcement Learning: A Survey Thomas M. Moerland Joost Broekens Aske Plaat Catholijn M. Jonker OffRL 60 49 0 30 Jun 2020
Mirror Descent Policy Optimization Manan Tomar Lior Shani Yonathan Efroni Mohammad Ghavamzadeh 99 87 0 20 May 2020
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 566 2,044 0 04 May 2020
Bootstrap Latent-Predictive Representations for Multitask Reinforcement Learning Z. Guo Bernardo Avila-Pires Bilal Piot Jean-Bastien Grill Florent Altché Rémi Munos M. G. Azar BDL DRL SSL 180 143 0 30 Apr 2020
Leverage the Average: an Analysis of KL Regularization in RL Nino Vieillard Tadashi Kozuno B. Scherrer Olivier Pietquin Rémi Munos Matthieu Geist 60 43 0 31 Mar 2020
Value-driven Hindsight Modelling A. Guez Fabio Viola T. Weber Lars Buesing Steven Kapturowski Doina Precup David Silver N. Heess OffRL 69 12 0 19 Feb 2020
Causally Correct Partial Models for Reinforcement Learning Danilo Jimenez Rezende Ivo Danihelka George Papamakarios Nan Rosemary Ke Ray Jiang ... Jane X. Wang Jovana Mitrović F. Besse Ioannis Antonoglou Lars Buesing AI4TS 77 34 0 07 Feb 2020
Combining Q-Learning and Search with Amortized Value Estimates Jessica B. Hamrick V. Bapst Alvaro Sanchez-Gonzalez Tobias Pfaff T. Weber Lars Buesing Peter W. Battaglia OffRL 73 48 0 05 Dec 2019
Normalizing Flows for Probabilistic Modeling and Inference George Papamakarios Eric T. Nalisnick Danilo Jimenez Rezende S. Mohamed Balaji Lakshminarayanan TPM AI4CE 209 1,713 0 05 Dec 2019
Imagined Value Gradients: Model-Based Policy Optimization with Transferable Latent Dynamics Models Arunkumar Byravan Jost Tobias Springenberg A. Abdolmaleki Roland Hafner Michael Neunert Thomas Lampe Noah Y. Siegel N. Heess Martin Riedmiller OffRL 71 41 0 09 Oct 2019
Off-Policy Actor-Critic with Shared Experience Replay Simon Schmitt Matteo Hessel Karen Simonyan OffRL 67 68 0 25 Sep 2019
OpenSpiel: A Framework for Reinforcement Learning in Games Marc Lanctot Edward Lockhart Jean-Baptiste Lespiau V. Zambaldi Satyaki Upadhyay ... Julian Schrittwieser Thomas W. Anthony Edward Hughes Ivo Danihelka Jonah Ryan-Davis OffRL 101 254 0 26 Aug 2019
General non-linear Bellman equations H. V. Hasselt John Quan Matteo Hessel Zhongwen Xu Diana Borsa André Barreto 50 14 0 08 Jul 2019
On Inductive Biases in Deep Reinforcement Learning Matteo Hessel H. V. Hasselt Joseph Modayil David Silver AI4CE 75 41 0 05 Jul 2019
Shaping Belief States with Generative Environment Models for RL Karol Gregor Danilo Jimenez Rezende F. Besse Yan Wu Hamza Merzic Aaron van den Oord OffRL AI4CE 99 119 0 21 Jun 2019
When to Trust Your Model: Model-Based Policy Optimization Michael Janner Justin Fu Marvin Zhang Sergey Levine OffRL 102 956 0 19 Jun 2019
When to use parametric models in reinforcement learning? H. V. Hasselt Matteo Hessel John Aslanides 83 194 0 12 Jun 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 138 867 0 01 Mar 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 78 116 0 11 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 143 2,449 0 13 Dec 2018
Neural Predictive Belief Representations Z. Guo M. G. Azar Bilal Piot Bernardo Avila-Pires Rémi Munos SSL 66 81 0 15 Nov 2018
ACE: An Actor Ensemble Algorithm for Continuous Control with Tree Search Gary Cheng Kannan Ramchandran L. Ghaoui 43 24 0 06 Nov 2018
Recurrent World Models Facilitate Policy Evolution David R Ha Jürgen Schmidhuber SyDa TPM 121 953 0 04 Sep 2018
Implicit Quantile Networks for Distributional Reinforcement Learning Will Dabney Georg Ostrovski David Silver Rémi Munos OffRL 139 532 0 14 Jun 2018
Maximum a Posteriori Policy Optimisation A. Abdolmaleki Jost Tobias Springenberg Yuval Tassa Rémi Munos N. Heess Martin Riedmiller 73 478 0 14 Jun 2018
Observe and Look Further: Achieving Consistent Performance on Atari Tobias Pohlen Bilal Piot Todd Hester M. G. Azar Dan Horgan ... John Quan Mel Vecerík Matteo Hessel Rémi Munos Olivier Pietquin 53 121 0 29 May 2018
Meta-Gradient Reinforcement Learning Zhongwen Xu H. V. Hasselt David Silver 112 327 0 24 May 2018
Addressing Function Approximation Error in Actor-Critic Methods Scott Fujimoto H. V. Hoof David Meger OffRL 187 5,212 0 26 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 235 1,605 0 05 Feb 2018
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 2,270 0 06 Oct 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 92 557 0 18 Sep 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 535 19,265 0 20 Jul 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 113 557 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 101 98 0 19 Jul 2017
Value Prediction Network Junhyuk Oh Satinder Singh Honglak Lee 79 333 0 11 Jul 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 74 291 0 28 Dec 2016
Reinforcement Learning with Unsupervised Auxiliary Tasks Max Jaderberg Volodymyr Mnih Wojciech M. Czarnecki Tom Schaul Joel Z Leibo David Silver Koray Kavukcuoglu SSL 109 1,229 0 16 Nov 2016
Sample Efficient Actor-Critic with Experience Replay Ziyun Wang V. Bapst N. Heess Volodymyr Mnih Rémi Munos Koray Kavukcuoglu Nando de Freitas 102 762 0 03 Nov 2016
Safe and Efficient Off-Policy Reinforcement Learning Rémi Munos T. Stepleton Anna Harutyunyan Marc G. Bellemare OffRL 138 617 0 08 Jun 2016