FeUdal Networks for Hierarchical Reinforcement Learning

3 March 2017

David Silver

Papers citing "FeUdal Networks for Hierarchical Reinforcement Learning"

41 / 191 papers shown

Title
TF-Replicator: Distributed Machine Learning for Researchers P. Buchlovsky David Budden Dominik Grewe Chris Jones John Aslanides ... Aidan Clark Sergio Gomez Colmenarejo Aedan Pope Fabio Viola Dan Belov GNN OffRL AI4CE 37 20 0 01 Feb 2019
Transfer in Deep Reinforcement Learning Using Successor Features and Generalised Policy Improvement André Barreto Diana Borsa John Quan Tom Schaul David Silver Matteo Hessel D. Mankowitz Augustin Žídek Rémi Munos OffRL 43 161 0 30 Jan 2019
Hierarchical Reinforcement Learning for Multi-agent MOBA Game Zhijian Zhang Haozheng Li Lu Zhang Tianyin Zheng Ting Zhang Xiong Hao Xiaoxin Chen Min Chen Fangxu Xiao Wei Zhou 17 15 0 23 Jan 2019
Universal Successor Features Approximators Diana Borsa André Barreto John Quan D. Mankowitz Rémi Munos H. V. Hasselt David Silver Tom Schaul 28 114 0 18 Dec 2018
Hyperbolic Embeddings for Learning Options in Hierarchical Reinforcement Learning Saket Tiwari M. Prannoy 19 2 0 04 Dec 2018
Unsupervised Control Through Non-Parametric Discriminative Rewards David Warde-Farley T. Wiele Tejas D. Kulkarni Catalin Ionescu Steven Hansen Volodymyr Mnih DRL OffRL SSL 41 173 0 28 Nov 2018
Scalable agent alignment via reward modeling: a research direction Jan Leike David M. Krueger Tom Everitt Miljan Martic Vishal Maini Shane Legg 34 397 0 19 Nov 2018
Learning Representations in Model-Free Hierarchical Reinforcement Learning J. Rafati D. Noelle 24 45 0 23 Oct 2018
CURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement Learning Cédric Colas Pierre Fournier Olivier Sigaud Mohamed Chetouani Pierre-Yves Oudeyer 33 39 0 15 Oct 2018
A Survey and Critique of Multiagent Deep Reinforcement Learning Pablo Hernandez-Leal Bilal Kartal Matthew E. Taylor OffRL 48 553 0 12 Oct 2018
Scaling All-Goals Updates in Reinforcement Learning Using Convolutional Neural Networks Fabio Pardo Vitaly Levdik Petar Kormushev 25 4 0 06 Oct 2018
Near-Optimal Representation Learning for Hierarchical Reinforcement Learning Ofir Nachum S. Gu Honglak Lee Sergey Levine 33 206 0 02 Oct 2018
CM3: Cooperative Multi-goal Multi-stage Multi-agent Reinforcement Learning Jiachen Yang A. Nakhaei David Isele K. Fujimura H. Zha 34 75 0 13 Sep 2018
Expert-augmented actor-critic for ViZDoom and Montezumas Revenge Michal Garmulewicz Henryk Michalewski Piotr Milos 16 8 0 10 Sep 2018
Automatically Composing Representation Transformations as a Means for Generalization Michael Chang Abhishek Gupta Sergey Levine Thomas Griffiths 26 68 0 12 Jul 2018
Human-level performance in first-person multiplayer games with population-based deep reinforcement learning Max Jaderberg Wojciech M. Czarnecki Iain Dunning Luke Marris Guy Lever ... Joel Z. Leibo David Silver Demis Hassabis Koray Kavukcuoglu T. Graepel OffRL 43 715 0 03 Jul 2018
The streaming rollout of deep networks - towards fully model-parallel execution Volker Fischer Jan M. Köhler Thomas Pfeil 27 16 0 13 Jun 2018
Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings John D. Co-Reyes YuXuan Liu Abhishek Gupta Benjamin Eysenbach Pieter Abbeel Sergey Levine SSL BDL AIFin 37 142 0 07 Jun 2018
Relational Deep Reinforcement Learning V. Zambaldi David Raposo Adam Santoro V. Bapst Yujia Li ... Victoria Langston Razvan Pascanu M. Botvinick Oriol Vinyals Peter W. Battaglia OffRL 24 219 0 05 Jun 2018
Data-Efficient Hierarchical Reinforcement Learning Ofir Nachum S. Gu Honglak Lee Sergey Levine OffRL 68 797 0 21 May 2018
Hierarchical Reinforcement Learning with Hindsight Andrew Levy Robert Platt Kate Saenko 34 83 0 21 May 2018
Hierarchical Reinforcement Learning with Deep Nested Agents Marc Brittain Peng Wei BDL 24 1 0 18 May 2018
Deep Hierarchical Reinforcement Learning Algorithm in Partially Observable Markov Decision Processes T. P. Le Ngo Anh Vien Abu Layek TaeChoong Chung 25 51 0 11 May 2018
An Adaptive Clipping Approach for Proximal Policy Optimization Gang Chen Yiming Peng Mengjie Zhang 22 22 0 17 Apr 2018
Policy Search in Continuous Action Domains: an Overview Olivier Sigaud F. Stulp 16 72 0 13 Mar 2018
Some Considerations on Learning to Explore via Meta-Reinforcement Learning Bradly C. Stadie Ge Yang Rein Houthooft Xi Chen Yan Duan Yuhuai Wu Pieter Abbeel Ilya Sutskever LRM 40 116 0 03 Mar 2018
Hierarchical Imitation and Reinforcement Learning Hoang Minh Le Nan Jiang Alekh Agarwal Miroslav Dudík Yisong Yue Hal Daumé 33 190 0 01 Mar 2018
The Mechanics of n-Player Differentiable Games David Balduzzi S. Racanière James Martens Jakob N. Foerster K. Tuyls T. Graepel MLT 33 274 0 15 Feb 2018
Psychlab: A Psychology Laboratory for Deep Reinforcement Learning Agents Joel Z. Leibo Cyprien de Masson dÁutume Daniel Zoran David Amos Charlie Beattie ... Simon Green A. Gruslys Shane Legg Demis Hassabis M. Botvinick 24 78 0 24 Jan 2018
Revisiting the Master-Slave Architecture in Multi-Agent Deep Reinforcement Learning Xiangyu Kong Bo Xin Fangchen Liu Yizhou Wang 21 44 0 20 Dec 2017
Learning Multi-Level Hierarchies with Hindsight Andrew Levy George Konidaris Robert Platt Kate Saenko 35 79 0 04 Dec 2017
DDCO: Discovery of Deep Continuous Options for Robot Learning from Demonstrations S. Krishnan Roy Fox Ion Stoica Ken Goldberg 27 81 0 15 Oct 2017
Dilated Recurrent Neural Networks Shiyu Chang Yang Zhang Wei Han Mo Yu Xiaoxiao Guo Wei Tan Xiaodong Cui Michael Witbrock M. Hasegawa-Johnson Thomas S. Huang 47 299 0 05 Oct 2017
Deep Abstract Q-Networks Melrose Roderick Christopher Grimm Stefanie Tellex 35 33 0 02 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 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
Hindsight Experience Replay Marcin Andrychowicz Dwight Crow Alex Ray Jonas Schneider Rachel Fong Peter Welinder Bob McGrew Joshua Tobin Pieter Abbeel Wojciech Zaremba OffRL 107 2,297 0 05 Jul 2017
Multi-Modal Imitation Learning from Unstructured Demonstrations using Generative Adversarial Nets Karol Hausman Yevgen Chebotar S. Schaal Gaurav Sukhatme Joseph J. Lim GAN 30 147 0 30 May 2017
Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning Nat Dilokthanakul Christos Kaplanis Nick Pawlowski Murray Shanahan 24 91 0 18 May 2017
Beating Atari with Natural Language Guided Reinforcement Learning Russell Kaplan Chris Sauer A. Sosa LM&Ro 21 69 0 18 Apr 2017
Deep Reinforcement Learning: An Overview Yuxi Li OffRL VLM 104 1,505 0 25 Jan 2017