Recurrent World Models Facilitate Policy Evolution

4 September 2018

Papers citing "Recurrent World Models Facilitate Policy Evolution"

50 / 325 papers shown

Title
NavRep: Unsupervised Representations for Reinforcement Learning of Robot Navigation in Dynamic Human Environments Daniel Dugas Juan I. Nieto Roland Siegwart Jen Jen Chung SSL 77 51 0 08 Dec 2020
Deep Learning and the Global Workspace Theory R. V. Rullen Ryota Kanai 137 68 0 04 Dec 2020
Planning from Pixels using Inverse Dynamics Models Keiran Paster Sheila A. McIlraith Jimmy Ba BDL 72 41 0 04 Dec 2020
World Model as a Graph: Learning Latent Landmarks for Planning Lunjun Zhang Ge Yang Bradly C. Stadie DRL 83 74 0 25 Nov 2020
Distilling a Hierarchical Policy for Planning and Control via Representation and Reinforcement Learning Jung-Su Ha Young-Jin Park Hyeok-Joo Chae Soon-Seo Park Han-Lim Choi 112 3 0 16 Nov 2020
Predictive Coding, Variational Autoencoders, and Biological Connections Joseph Marino DRL AI4CE 95 45 0 15 Nov 2020
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 108 66 0 08 Nov 2020
Privacy-Preserving and Efficient Data Collection Scheme for AMI Networks Using Deep Learning Mohamed I. Ibrahem Mohamed Mahmoud M. Fouda F. Alsolami Waleed S. Alasmary Xuemin Shen Shen 67 28 0 07 Nov 2020
Forethought and Hindsight in Credit Assignment Veronica Chelu Doina Precup H. V. Hasselt 92 26 0 26 Oct 2020
XLVIN: eXecuted Latent Value Iteration Nets Andreea Deac Petar Velivcković Ognjen Milinković Pierre-Luc Bacon Jian Tang Mladen Nikolic 63 19 0 25 Oct 2020
Smaller World Models for Reinforcement Learning Jan Robine Tobias Uelwer Stefan Harmeling DRL 51 3 0 12 Oct 2020
ALFWorld: Aligning Text and Embodied Environments for Interactive Learning Mohit Shridhar Xingdi Yuan Marc-Alexandre Côté Yonatan Bisk Adam Trischler Matthew J. Hausknecht LM&Ro LLMAG 133 450 0 08 Oct 2020
Improving Sequential Latent Variable Models with Autoregressive Flows Joseph Marino Lei Chen Jiawei He Stephan Mandt BDL AI4TS 127 12 0 07 Oct 2020
Latent World Models For Intrinsically Motivated Exploration Aleksandr Ermolov N. Sebe 120 25 0 05 Oct 2020
Improving Generative Imagination in Object-Centric World Models Zhixuan Lin Yi-Fu Wu Skand Peri Bofeng Fu Jindong Jiang Sungjin Ahn OCL 118 81 0 05 Oct 2020
Novelty Search in Representational Space for Sample Efficient Exploration Ruo Yu Tao Vincent François-Lavet Joelle Pineau 90 45 0 28 Sep 2020
Dynamic Horizon Value Estimation for Model-based Reinforcement Learning Junjie Wang Qichao Zhang Dongbin Zhao Mengchen Zhao Jianye Hao OffRL 55 5 0 21 Sep 2020
Evolutionary Reinforcement Learning via Cooperative Coevolutionary Negatively Correlated Search Hu Zhang Peng Yang Yang Yu Mingjiang Li K. Tang 126 21 0 08 Sep 2020
Human-in-the-Loop Methods for Data-Driven and Reinforcement Learning Systems Vinicius G. Goecks 115 11 0 30 Aug 2020
On the model-based stochastic value gradient for continuous reinforcement learning Brandon Amos Samuel Stanton Denis Yarats A. Wilson 83 71 0 28 Aug 2020
Heteroscedastic Uncertainty for Robust Generative Latent Dynamics Oliver Limoyo Bryan Chan Filip Marić Brandon Wagstaff Rupam Mahmood Jonathan Kelly 70 8 0 18 Aug 2020
Sample-Efficient Training of Robotic Guide Using Human Path Prediction Network Hee-Seung Moon Jiwon Seo 46 3 0 12 Aug 2020
Deep Model-Based Reinforcement Learning for High-Dimensional Problems, a Survey Aske Plaat W. Kosters Mike Preuss BDL OffRL 115 17 0 11 Aug 2020
Assisted Perception: Optimizing Observations to Communicate State S. Reddy Sergey Levine Anca Dragan 92 15 0 06 Aug 2020
Contrastive Variational Reinforcement Learning for Complex Observations Xiao Ma Siwei Chen David Hsu W. Lee OffRL 74 23 0 06 Aug 2020
Dreaming: Model-based Reinforcement Learning by Latent Imagination without Reconstruction Masashi Okada T. Taniguchi OffRL 116 84 0 29 Jul 2020
Evaluating the Apperception Engine Richard Evans Jose Hernandez-Orallo Johannes Welbl Pushmeet Kohli Marek Sergot 67 5 0 09 Jul 2020
Self-Supervised Policy Adaptation during Deployment Nicklas Hansen Rishabh Jangir Yu Sun Guillem Alenyà Pieter Abbeel Alexei A. Efros Lerrel Pinto Xiaolong Wang 103 163 0 08 Jul 2020
The LoCA Regret: A Consistent Metric to Evaluate Model-Based Behavior in Reinforcement Learning H. V. Seijen Hadi Nekoei Evan Racah A. Chandar OffRL 57 14 0 07 Jul 2020
Meta-Learning through Hebbian Plasticity in Random Networks Elias Najarro S. Risi 108 78 0 06 Jul 2020
Model-based Reinforcement Learning: A Survey Thomas M. Moerland Joost Broekens Aske Plaat Catholijn M. Jonker OffRL 120 49 0 30 Jun 2020
Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors Karl Pertsch Oleh Rybkin F. Ebert Chelsea Finn Dinesh Jayaraman Sergey Levine 81 73 0 23 Jun 2020
Agent Modelling under Partial Observability for Deep Reinforcement Learning Georgios Papoudakis Filippos Christianos Stefano V. Albrecht 107 66 0 16 Jun 2020
MLE-guided parameter search for task loss minimization in neural sequence modeling Sean Welleck Kyunghyun Cho 68 10 0 04 Jun 2020
Predict-then-Decide: A Predictive Approach for Wait or Answer Task in Dialogue Systems Zehao Lin Shaobo Cui Guodun Li Xiaoming Kang Feng Ji Feng-Lin Li Zhongzhou Zhao Haiqing Chen Yin Zhang 67 2 0 27 May 2020
Learning to Simulate Dynamic Environments with GameGAN Seung Wook Kim Yuhao Zhou Jonah Philion Antonio Torralba Sanja Fidler GAN 99 106 0 25 May 2020
Progressive growing of self-organized hierarchical representations for exploration Mayalen Etcheverry Pierre-Yves Oudeyer Chris Reinke 52 0 0 13 May 2020
Deep Learning: Our Miraculous Year 1990-1991 J. Schmidhuber 3DGS MedIm 37 6 0 12 May 2020
Language (Re)modelling: Towards Embodied Language Understanding Ronen Tamari Chen Shani Tom Hope Miriam R. L. Petruck Omri Abend Dafna Shahaf 72 28 0 01 May 2020
Modelling Suspense in Short Stories as Uncertainty Reduction over Neural Representation David Wilmot Frank Keller 67 22 0 30 Apr 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 187 143 0 30 Apr 2020
Visual Grounding of Learned Physical Models Yunzhu Li Toru Lin Kexin Yi Daniel M. Bear Daniel L. K. Yamins Jiajun Wu J. Tenenbaum Antonio Torralba OOD OCL AI4CE PINN 88 82 0 28 Apr 2020
Evolving Inborn Knowledge For Fast Adaptation in Dynamic POMDP Problems Eseoghene Ben-Iwhiwhu Pawel Ladosz Jeffery Dick Wen‐Hua Chen Praveen K. Pilly Andrea Soltoggio 102 9 0 27 Apr 2020
Never Stop Learning: The Effectiveness of Fine-Tuning in Robotic Reinforcement Learning Ryan Julian Benjamin Swanson Gaurav Sukhatme Sergey Levine Chelsea Finn Karol Hausman OnRL CLL 92 43 0 21 Apr 2020
Imagination-Augmented Deep Learning for Goal Recognition T. Duhamel Mariane Maynard F. Kabanza 23 0 0 20 Mar 2020
Neuroevolution of Self-Interpretable Agents Yujin Tang Duong Nguyen David R Ha 127 113 0 18 Mar 2020
Policy-Aware Model Learning for Policy Gradient Methods Romina Abachi Mohammad Ghavamzadeh Amir-massoud Farahmand 77 36 0 28 Feb 2020
Probably Approximately Correct Vision-Based Planning using Motion Primitives Sushant Veer Anirudha Majumdar 3DV 77 21 0 28 Feb 2020
Reinforcement Learning through Active Inference Alexander Tschantz Beren Millidge A. Seth Christopher L. Buckley AI4CE 78 72 0 28 Feb 2020
Emergent Communication with World Models Alexander I. Cowen-Rivers Jason Naradowsky 69 7 0 22 Feb 2020