Recurrent World Models Facilitate Policy Evolution

4 September 2018

Papers citing "Recurrent World Models Facilitate Policy Evolution"

50 / 504 papers shown

Title
User-Dependent Neural Sequence Models for Continuous-Time Event Data Alex Boyd Robert Bamler Stephan Mandt Padhraic Smyth 6 19 0 06 Nov 2020
Low-Variance Policy Gradient Estimation with World Models Michal Nauman Floris den Hengst OffRL 30 1 0 29 Oct 2020
Forethought and Hindsight in Credit Assignment Veronica Chelu Doina Precup H. V. Hasselt 22 25 0 26 Oct 2020
XLVIN: eXecuted Latent Value Iteration Nets Andreea Deac Petar Velivcković Ognjen Milinković Pierre-Luc Bacon Jian Tang Mladen Nikolic 16 19 0 25 Oct 2020
Smaller World Models for Reinforcement Learning Jan Robine Tobias Uelwer Stefan Harmeling DRL 25 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 32 399 0 08 Oct 2020
Improving Sequential Latent Variable Models with Autoregressive Flows Joseph Marino Lei Chen Jiawei He Stephan Mandt BDL AI4TS 30 12 0 07 Oct 2020
Latent World Models For Intrinsically Motivated Exploration Aleksandr Ermolov N. Sebe 25 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 27 80 0 05 Oct 2020
Episodic Memory for Learning Subjective-Timescale Models Alexey Zakharov Matthew Crosby Z. Fountas 16 4 0 03 Oct 2020
Beyond Tabula-Rasa: a Modular Reinforcement Learning Approach for Physically Embedded 3D Sokoban Peter Karkus M. Berk Mirza A. Guez Andrew Jaegle Timothy Lillicrap Lars Buesing N. Heess T. Weber OffRL 20 8 0 03 Oct 2020
Novelty Search in Representational Space for Sample Efficient Exploration Ruo Yu Tao Vincent François-Lavet Joelle Pineau 30 43 0 28 Sep 2020
Unsupervised Transfer Learning for Spatiotemporal Predictive Networks Zhiyu Yao Yunbo Wang Mingsheng Long Jianmin Wang AI4TS 25 18 0 24 Sep 2020
Dynamic Horizon Value Estimation for Model-based Reinforcement Learning Junjie Wang Qichao Zhang Dongbin Zhao Mengchen Zhao Jianye Hao OffRL 8 5 0 21 Sep 2020
Embodied Visual Navigation with Automatic Curriculum Learning in Real Environments Steven D. Morad R. Mecca Rudra P. K. Poudel Stephan Liwicki R. Cipolla 18 41 0 11 Sep 2020
Graph neural networks-based Scheduler for Production planning problems using Reinforcement Learning Mohammed Sharafath Abdul Hameed Andreas Schwung 8 21 0 08 Sep 2020
Evolutionary Reinforcement Learning via Cooperative Coevolutionary Negatively Correlated Search Hu Zhang Peng Yang Yang Yu Mingjiang Li K. Tang 17 20 0 08 Sep 2020
Decontextualized learning for interpretable hierarchical representations of visual patterns R. I. Etheredge M. Schartl Alex Jordan 13 4 0 31 Aug 2020
Human-in-the-Loop Methods for Data-Driven and Reinforcement Learning Systems Vinicius G. Goecks 33 11 0 30 Aug 2020
On the model-based stochastic value gradient for continuous reinforcement learning Brandon Amos Samuel Stanton Denis Yarats A. Wilson 22 71 0 28 Aug 2020
Heteroscedastic Uncertainty for Robust Generative Latent Dynamics Oliver Limoyo Bryan Chan Filip Marić Brandon Wagstaff Rupam Mahmood Jonathan Kelly 20 8 0 18 Aug 2020
Sample-Efficient Training of Robotic Guide Using Human Path Prediction Network Hee-Seung Moon Jiwon Seo 6 3 0 12 Aug 2020
Deep Model-Based Reinforcement Learning for High-Dimensional Problems, a Survey Aske Plaat W. Kosters Mike Preuss BDL OffRL 21 17 0 11 Aug 2020
Assisted Perception: Optimizing Observations to Communicate State S. Reddy Sergey Levine Anca Dragan 21 15 0 06 Aug 2020
Contrastive Variational Reinforcement Learning for Complex Observations Xiao Ma Siwei Chen David Hsu W. Lee OffRL 11 23 0 06 Aug 2020
FRMDN: Flow-based Recurrent Mixture Density Network S. Razavi Reshad Hosseini Tina Behzad BDL 16 0 0 05 Aug 2020
Dreaming: Model-based Reinforcement Learning by Latent Imagination without Reconstruction Masashi Okada T. Taniguchi OffRL 37 84 0 29 Jul 2020
Understanding and Mitigating the Limitations of Prioritized Experience Replay Yangchen Pan Jincheng Mei Amir-massoud Farahmand Martha White Hengshuai Yao Mohsen Rohani Jun Luo 24 11 0 19 Jul 2020
Evaluating the Apperception Engine Richard Evans Jose Hernandez-Orallo Johannes Welbl Pushmeet Kohli Marek Sergot 30 4 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 41 159 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 18 13 0 07 Jul 2020
Meta-Learning through Hebbian Plasticity in Random Networks Elias Najarro S. Risi 27 77 0 06 Jul 2020
Model-based Reinforcement Learning: A Survey Thomas M. Moerland Joost Broekens Aske Plaat Catholijn M. Jonker OffRL 33 47 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 25 72 0 23 Jun 2020
Forward Prediction for Physical Reasoning Rohit Girdhar Laura Gustafson Aaron B. Adcock L. V. D. van der Maaten LRM AI4CE 48 20 0 18 Jun 2020
Agent Modelling under Partial Observability for Deep Reinforcement Learning Georgios Papoudakis Filippos Christianos Stefano V. Albrecht 24 61 0 16 Jun 2020
Continuous Control for Searching and Planning with a Learned Model Xuxi Yang Werner Duvaud Peng Wei 22 5 0 12 Jun 2020
MLE-guided parameter search for task loss minimization in neural sequence modeling Sean Welleck Kyunghyun Cho 18 10 0 04 Jun 2020
Surprisal-Triggered Conditional Computation with Neural Networks Loren Lugosch Derek Nowrouzezahrai B. Meyer 27 6 0 02 Jun 2020
Detection of Lying Electrical Vehicles in Charging Coordination Application Using Deep Learning Ahmed A. Shafee M. Fouda Mohamed Mahmoud Waleed S. Alasmary A. Aljohani Fathi H. Amsaad 28 0 0 28 May 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 34 1 0 27 May 2020
Learning to Simulate Dynamic Environments with GameGAN Seung Wook Kim Yuhao Zhou Jonah Philion Antonio Torralba Sanja Fidler GAN 17 102 0 25 May 2020
Progressive growing of self-organized hierarchical representations for exploration Mayalen Etcheverry Pierre-Yves Oudeyer Chris Reinke 23 0 0 13 May 2020
Deep Learning: Our Miraculous Year 1990-1991 J. Schmidhuber 3DGS MedIm 22 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 10 29 0 01 May 2020
Modelling Suspense in Short Stories as Uncertainty Reduction over Neural Representation David Wilmot Frank Keller 24 21 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 43 139 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 37 79 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 35 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 33 43 0 21 Apr 2020