Recurrent World Models Facilitate Policy Evolution

4 September 2018

Papers citing "Recurrent World Models Facilitate Policy Evolution"

50 / 325 papers shown

Title
Targeted Attack on Deep RL-based Autonomous Driving with Learned Visual Patterns Prasanth Buddareddygari Travis Zhang Yezhou Yang Yi Ren AAML 61 15 0 16 Sep 2021
A Temporal Variational Model for Story Generation David Wilmot Frank Keller DRL 110 9 0 14 Sep 2021
The Sensory Neuron as a Transformer: Permutation-Invariant Neural Networks for Reinforcement Learning Yujin Tang David R Ha 110 77 0 07 Sep 2021
Implicit Behavioral Cloning Peter R. Florence Corey Lynch Andy Zeng Oscar Ramirez Ayzaan Wahid Laura Downs Adrian S. Wong Johnny Lee Igor Mordatch Jonathan Tompson OffRL 142 392 0 01 Sep 2021
Continual learning under domain transfer with sparse synaptic bursting Shawn L. E. Beaulieu Jeff Clune Nick Cheney CLL OOD 73 1 0 26 Aug 2021
Mapless Humanoid Navigation Using Learned Latent Dynamics André Brandenburger Diego Rodriguez Sven Behnke 109 1 0 09 Aug 2021
Vision-Based Autonomous Car Racing Using Deep Imitative Reinforcement Learning Peide Cai Hengli Wang Huaiyang Huang Yuxuan Liu Ming-Yuan Liu 51 66 0 18 Jul 2021
High-Accuracy Model-Based Reinforcement Learning, a Survey Aske Plaat W. Kosters Mike Preuss OffRL 75 37 0 17 Jul 2021
Backprop-Free Reinforcement Learning with Active Neural Generative Coding Alexander Ororbia A. Mali 92 17 0 10 Jul 2021
RRL: Resnet as representation for Reinforcement Learning Rutav Shah Vikash Kumar OffRL 107 115 0 07 Jul 2021
AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning Erdun Gao Fan Feng Chaochao Lu Sara Magliacane Kun Zhang 106 68 0 06 Jul 2021
Reinforcement Learning for Feedback-Enabled Cyber Resilience Yunhan Huang Linan Huang Quanyan Zhu 99 71 0 02 Jul 2021
Learning Task Informed Abstractions Xiang Fu Ge Yang Pulkit Agrawal Tommi Jaakkola 110 69 0 29 Jun 2021
Goal-Directed Planning by Reinforcement Learning and Active Inference Dongqi Han Kenji Doya Jun Tani 46 2 0 18 Jun 2021
Learning Knowledge Graph-based World Models of Textual Environments Prithviraj Ammanabrolu Mark O. Riedl 3DV 102 32 0 17 Jun 2021
Modeling Worlds in Text Prithviraj Ammanabrolu Mark O. Riedl VGen LM&Ro 63 14 0 17 Jun 2021
Temporal Predictive Coding For Model-Based Planning In Latent Space Tung D. Nguyen Rui Shu Tu Pham Hung Bui Stefano Ermon OffRL 98 59 0 14 Jun 2021
Vector Quantized Models for Planning Sherjil Ozair Yazhe Li Ali Razavi Ioannis Antonoglou Aaron van den Oord Oriol Vinyals OffRL 92 51 0 08 Jun 2021
Detecting and Adapting to Novelty in Games Xiangyu Peng Jonathan C. Balloch Mark O. Riedl TTA 51 10 0 04 Jun 2021
A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning Mingde Zhao Zhen Liu Sitao Luan Shuyuan Zhang Doina Precup Yoshua Bengio 134 37 0 03 Jun 2021
Techniques Toward Optimizing Viewability in RTB Ad Campaigns Using Reinforcement Learning M. Tashman John Hoffman Jiayi Xie Feng Ye Atefeh Morsali Lee Winikor Rouzbeh Gerami OffRL 48 0 0 21 May 2021
Generic Itemset Mining Based on Reinforcement Learning Kazuma Fujioka Kimiaki Shirahama 30 3 0 17 May 2021
A Framework of Explanation Generation toward Reliable Autonomous Robots Tatsuya Sakai Kazuki Miyazawa Takato Horii Takayuki Nagai 85 8 0 06 May 2021
Explainable Autonomous Robots: A Survey and Perspective Tatsuya Sakai Takayuki Nagai 80 68 0 06 May 2021
Learning to drive from a world on rails Di Chen V. Koltun Philipp Krahenbuhl 191 122 0 03 May 2021
DriveGAN: Towards a Controllable High-Quality Neural Simulation S. Kim Jonah Philion Antonio Torralba Sanja Fidler 100 119 0 30 Apr 2021
Capability Iteration Network for Robot Path Planning Buqing Nie Yue Gao Yi Mei Feng Gao 3DV 39 7 0 29 Apr 2021
Revisiting Hierarchical Approach for Persistent Long-Term Video Prediction Wonkwang Lee Whie Jung Han Zhang Ting Chen Jing Yu Koh Thomas E. Huang Hyungsuk Yoon Honglak Lee Seunghoon Hong 57 29 0 14 Apr 2021
Muesli: Combining Improvements in Policy Optimization Matteo Hessel Ivo Danihelka Fabio Viola A. Guez Simon Schmitt Laurent Sifre T. Weber David Silver H. V. Hasselt 105 66 0 13 Apr 2021
Augmented World Models Facilitate Zero-Shot Dynamics Generalization From a Single Offline Environment Philip J. Ball Cong Lu Jack Parker-Holder Stephen J. Roberts OffRL 110 45 0 12 Apr 2021
Causal Reasoning in Simulation for Structure and Transfer Learning of Robot Manipulation Policies Timothy E. Lee Jialiang Zhao A. Sawhney Siddharth Girdhar Oliver Kroemer CML 78 32 0 31 Mar 2021
PredRNN: A Recurrent Neural Network for Spatiotemporal Predictive Learning Yunbo Wang Haixu Wu Jianjin Zhang Zhifeng Gao Jianmin Wang Philip S. Yu Mingsheng Long 163 397 0 17 Mar 2021
Sample-efficient Reinforcement Learning Representation Learning with Curiosity Contrastive Forward Dynamics Model Thanh Nguyen Tung M. Luu Thang Vu Chang D. Yoo 47 17 0 15 Mar 2021
Continuous 3D Multi-Channel Sign Language Production via Progressive Transformers and Mixture Density Networks Ben Saunders Necati Cihan Camgöz Richard Bowden SLR 71 80 0 11 Mar 2021
Understanding the Origin of Information-Seeking Exploration in Probabilistic Objectives for Control Beren Millidge A. Seth Christopher L. Buckley 122 12 0 11 Mar 2021
Latent Imagination Facilitates Zero-Shot Transfer in Autonomous Racing Axel Brunnbauer Luigi Berducci Andreas Brandstätter Mathias Lechner Ramin Hasani Daniela Rus Radu Grosu LM&Ro 80 38 0 08 Mar 2021
Learning a State Representation and Navigation in Cluttered and Dynamic Environments David Hoeller Lorenz Wellhausen Farbod Farshidian Marco Hutter SSL 68 79 0 07 Mar 2021
Convergence Rate of the (1+1)-Evolution Strategy with Success-Based Step-Size Adaptation on Convex Quadratic Functions Daiki Morinaga Kazuto Fukuchi Jun Sakuma Youhei Akimoto 21 8 0 02 Mar 2021
Beyond Fine-Tuning: Transferring Behavior in Reinforcement Learning Victor Campos Pablo Sprechmann Steven Hansen André Barreto Steven Kapturowski Alex Vitvitskyi Adria Puigdomenech Badia Charles Blundell OffRL OnRL 83 26 0 24 Feb 2021
Deep Latent Competition: Learning to Race Using Visual Control Policies in Latent Space Wilko Schwarting Tim Seyde Igor Gilitschenski Lucas Liebenwein Ryan M Sander S. Karaman Daniela Rus BDL 85 37 0 19 Feb 2021
Training Larger Networks for Deep Reinforcement Learning Keita Ota Devesh K. Jha Asako Kanezaki OffRL 97 40 0 16 Feb 2021
Planning and Learning Using Adaptive Entropy Tree Search Piotr Kozakowski Mikolaj Pacek Piotr Milo's 45 2 0 12 Feb 2021
Derivative-Free Reinforcement Learning: A Review Hong Qian Yang Yu OffRL 140 42 0 10 Feb 2021
Environment Predictive Coding for Embodied Agents Santhosh Kumar Ramakrishnan Tushar Nagarajan Ziad Al-Halah Kristen Grauman 84 14 0 03 Feb 2021
Evaluating the Interpretability of Generative Models by Interactive Reconstruction A. Ross Nina Chen Elisa Zhao Hang Elena L. Glassman Finale Doshi-Velez 158 49 0 02 Feb 2021
Meta-Reinforcement Learning for Adaptive Motor Control in Changing Robot Dynamics and Environments Timothée Anne Jack Wilkinson Zhibin Li 80 1 0 19 Jan 2021
Causal World Models by Unsupervised Deconfounding of Physical Dynamics Minne Li Mengyue Yang Furui Liu Xu Chen Zhitang Chen Jun Wang SyDa CML 50 13 0 28 Dec 2020
Hierarchical principles of embodied reinforcement learning: A review Manfred Eppe Christian Gumbsch Matthias Kerzel Phuong D. H. Nguyen Martin Volker Butz S. Wermter 101 10 0 18 Dec 2020
Content Masked Loss: Human-Like Brush Stroke Planning in a Reinforcement Learning Painting Agent Peter Schaldenbrand Jean Oh 52 36 0 18 Dec 2020
Uncertainty Estimation with Deep Learning for Rainfall-Runoff Modelling D. Klotz Frederik Kratzert M. Gauch A. Sampson Günter Klambauer Sepp Hochreiter G. Nearing BDL UQCV 66 111 0 15 Dec 2020