Recurrent World Models Facilitate Policy Evolution

4 September 2018

Papers citing "Recurrent World Models Facilitate Policy Evolution"

50 / 325 papers shown

Title
Implicit Two-Tower Policies Yunfan Zhao Qingkai Pan K. Choromanski Deepali Jain Vikas Sindhwani OffRL 121 3 0 02 Aug 2022
Explain My Surprise: Learning Efficient Long-Term Memory by Predicting Uncertain Outcomes A. Sorokin N. Buzun Leonid Pugachev Andrey Kravchenko 167 8 0 27 Jul 2022
A Closed-Loop Perception, Decision-Making and Reasoning Mechanism for Human-Like Navigation Wenqi Zhang Kai Zhao Peng Li Xiao Zhu Yongliang Shen Yanna Ma Yingfeng Chen Weiming Lu LRM 57 8 0 25 Jul 2022
A survey of multimodal deep generative models Masahiro Suzuki Y. Matsuo SyDa DRL 82 82 0 05 Jul 2022
Variational Causal Dynamics: Discovering Modular World Models from Interventions Anson Lei Bernhard Schölkopf Ingmar Posner CML 78 9 0 22 Jun 2022
A Survey on Model-based Reinforcement Learning Fan Luo Tian Xu Hang Lai Xiong-Hui Chen Weinan Zhang Yang Yu OffRL LRM 121 110 0 19 Jun 2022
The State of Sparse Training in Deep Reinforcement Learning L. Graesser Utku Evci Erich Elsen Pablo Samuel Castro OffRL 75 40 0 17 Jun 2022
Multi-Source Transfer Learning for Deep Model-Based Reinforcement Learning Remo Sasso M. Sabatelli M. Wiering 104 9 0 28 May 2022
Iso-Dream: Isolating and Leveraging Noncontrollable Visual Dynamics in World Models Minting Pan Geng Chen Yunbo Wang Xiaokang Yang 103 42 0 27 May 2022
Memory-efficient Reinforcement Learning with Value-based Knowledge Consolidation Qingfeng Lan Yangchen Pan Jun Luo A. R. Mahmood OffRL 113 8 0 22 May 2022
Towards biologically plausible Dreaming and Planning in recurrent spiking networks C. Capone P. Paolucci CLL 35 7 0 20 May 2022
Planning with Diffusion for Flexible Behavior Synthesis Michael Janner Yilun Du J. Tenenbaum Sergey Levine DiffM 331 706 0 20 May 2022
Neighborhood Mixup Experience Replay: Local Convex Interpolation for Improved Sample Efficiency in Continuous Control Tasks Ryan M Sander Wilko Schwarting Tim Seyde Igor Gilitschenski S. Karaman Daniela Rus 69 2 0 18 May 2022
Pervasive Machine Learning for Smart Radio Environments Enabled by Reconfigurable Intelligent Surfaces G. C. Alexandropoulos Kyriakos Stylianopoulos Chongwen Huang Chau Yuen M. Bennis Mérouane Debbah 76 89 0 08 May 2022
Fixing Malfunctional Objects With Learned Physical Simulation and Functional Prediction Yining Hong Kaichun Mo L. Yi Leonidas Guibas Antonio Torralba J. Tenenbaum Chuang Gan 91 5 0 05 May 2022
Data-driven control of spatiotemporal chaos with reduced-order neural ODE-based models and reinforcement learning Kevin Zeng Alec J. Linot M. Graham AI4CE 77 29 0 01 May 2022
Predicting Real-time Scientific Experiments Using Transformer models and Reinforcement Learning J. M. Parrilla-Gutierrez AI4CE 32 0 0 25 Apr 2022
Learning Sequential Latent Variable Models from Multimodal Time Series Data Oliver Limoyo Trevor Ablett Jonathan Kelly 73 5 0 21 Apr 2022
Evaluating Vision Transformer Methods for Deep Reinforcement Learning from Pixels Tianxin Tao Daniele Reda M. van de Panne ViT 78 19 0 11 Apr 2022
Temporal Alignment for History Representation in Reinforcement Learning Aleksandr Ermolov E. Sangineto N. Sebe AI4TS 45 2 0 07 Apr 2022
Factored Adaptation for Non-Stationary Reinforcement Learning Fan Feng Erdun Gao Kun Zhang Sara Magliacane CML OffRL 134 35 0 30 Mar 2022
NavDreams: Towards Camera-Only RL Navigation Among Humans Daniel Dugas Olov Andersson Roland Siegwart Jen Jen Chung VGen 84 12 0 23 Mar 2022
Multi-View Dreaming: Multi-View World Model with Contrastive Learning Akira Kinose Masashi Okada Ryogo Okumura T. Taniguchi OffRL 68 11 0 15 Mar 2022
Towards Self-Supervised Learning of Global and Object-Centric Representations Federico Baldassarre Hossein Azizpour SSL 3DPC OCL 103 13 0 11 Mar 2022
Tactile-Sensitive NewtonianVAE for High-Accuracy Industrial Connector Insertion Ryogo Okumura Nobuki Nishio T. Taniguchi 68 8 0 10 Mar 2022
SAGE: Generating Symbolic Goals for Myopic Models in Deep Reinforcement Learning A. Chester Michael Dann Fabio Zambetta John Thangarajah 39 0 0 09 Mar 2022
Temporal Difference Learning for Model Predictive Control Nicklas Hansen Xiaolong Wang H. Su PINN MU 101 255 0 09 Mar 2022
"If you could see me through my eyes": Predicting Pedestrian Perception Julian Petzold Mostafa Wahby F. Stark Ulrich Behrje Heiko Hamann 85 3 0 28 Feb 2022
Gradient-free Multi-domain Optimization for Autonomous Systems Hongrui Zheng Johannes Betz Rahul Mangharam 54 7 0 28 Feb 2022
Abstraction for Deep Reinforcement Learning Murray Shanahan Melanie Mitchell OffRL 95 28 0 10 Feb 2022
Influence-Augmented Local Simulators: A Scalable Solution for Fast Deep RL in Large Networked Systems Miguel Suau Jinke He M. Spaan F. Oliehoek 58 4 0 03 Feb 2022
Safe Deep RL in 3D Environments using Human Feedback Matthew Rahtz Vikrant Varma Ramana Kumar Zachary Kenton Shane Legg Jan Leike 82 4 0 20 Jan 2022
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems Jack Parker-Holder Raghunandan Rajan Xingyou Song André Biedenkapp Yingjie Miao ... Vu-Linh Nguyen Roberto Calandra Aleksandra Faust Frank Hutter Marius Lindauer AI4CE 112 107 0 11 Jan 2022
A Surrogate-Assisted Controller for Expensive Evolutionary Reinforcement Learning Yuxing Wang Tiantian Zhang Yongzhe Chang Bin Liang Xueqian Wang Bo Yuan 88 17 0 01 Jan 2022
Towards Disturbance-Free Visual Mobile Manipulation Tianwei Ni Kiana Ehsani Luca Weihs Jordi Salvador 120 9 0 17 Dec 2021
Compositional Learning-based Planning for Vision POMDPs Sampada Deglurkar M. H. Lim Johnathan Tucker Zachary Sunberg Aleksandra Faust Claire Tomlin 79 5 0 17 Dec 2021
Assistive Tele-op: Leveraging Transformers to Collect Robotic Task Demonstrations Henry M. Clever Ankur Handa H. Mazhar Kevin Parker Omer Shapira Qian Wan Yashraj S. Narang Iretiayo Akinola Maya Cakmak Dieter Fox 78 18 0 09 Dec 2021
Causal Imitative Model for Autonomous Driving Mohammad Reza Samsami Mohammadhossein Bahari Saber Salehkaleybar Alexandre Alahi CML 67 12 0 07 Dec 2021
ED2: Environment Dynamics Decomposition World Models for Continuous Control Jianye Hao Yifu Yuan Cong Wang Zhen Wang OffRL 89 1 0 06 Dec 2021
Diffusion Autoencoders: Toward a Meaningful and Decodable Representation Konpat Preechakul Nattanat Chatthee Suttisak Wizadwongsa Supasorn Suwajanakorn SyDa DiffM 131 434 0 30 Nov 2021
Collective Intelligence for Deep Learning: A Survey of Recent Developments David R Ha Yu Tang AI4CE 127 70 0 29 Nov 2021
Value Function Spaces: Skill-Centric State Abstractions for Long-Horizon Reasoning Dhruv Shah Peng Xu Yao Lu Ted Xiao Alexander Toshev Sergey Levine Brian Ichter OffRL 86 43 0 04 Nov 2021
Proximal Policy Optimization with Continuous Bounded Action Space via the Beta Distribution Irving G. B. Petrazzini Eric A. Antonelo OffRL 59 12 0 03 Nov 2021
Model-Based Episodic Memory Induces Dynamic Hybrid Controls Hung Le Thommen George Karimpanal Majid Abdolshah T. Tran Svetha Venkatesh 72 19 0 03 Nov 2021
DreamerPro: Reconstruction-Free Model-Based Reinforcement Learning with Prototypical Representations Fei Deng Ingook Jang Sungjin Ahn VLM 79 62 0 27 Oct 2021
Common Information based Approximate State Representations in Multi-Agent Reinforcement Learning Shitao Xiao V. Subramanian 74 9 0 25 Oct 2021
Planning from Pixels in Environments with Combinatorially Hard Search Spaces Marco Bagatella Miroslav Olsák Michal Rolínek Georg Martius OffRL 65 7 0 12 Oct 2021
Neural Algorithmic Reasoners are Implicit Planners Andreea Deac Petar Velivcković Ognjen Milinković Pierre-Luc Bacon Jian Tang Mladen Nikolic OffRL 72 24 0 11 Oct 2021
The Information Geometry of Unsupervised Reinforcement Learning Benjamin Eysenbach Ruslan Salakhutdinov Sergey Levine SSL OffRL 118 35 0 06 Oct 2021
Dropout's Dream Land: Generalization from Learned Simulators to Reality Zac Wellmer James T. Kwok SyDa 69 9 0 17 Sep 2021