Recurrent World Models Facilitate Policy Evolution

4 September 2018

Papers citing "Recurrent World Models Facilitate Policy Evolution"

50 / 502 papers shown

Title
Model-based actor-critic: GAN (model generator) + DRL (actor-critic) => AGI Aras R. Dargazany OffRL AI4CE 6 1 0 04 Apr 2020
Stochastic Flows and Geometric Optimization on the Orthogonal Group K. Choromanski David Cheikhi Jared Davis Valerii Likhosherstov Achille Nazaret ... Yuan Gao Aldo Pacchiano Tamás Sarlós Adrian Weller Vikas Sindhwani AI4CE 17 7 0 30 Mar 2020
Imagination-Augmented Deep Learning for Goal Recognition T. Duhamel Mariane Maynard F. Kabanza 9 0 0 20 Mar 2020
Neuroevolution of Self-Interpretable Agents Yujin Tang Duong Nguyen David R Ha 21 111 0 18 Mar 2020
Investigating Generalization in Neural Networks under Optimally Evolved Training Perturbations Subhajit Chaudhury T. Yamasaki 12 3 0 14 Mar 2020
An Adversarial Objective for Scalable Exploration Bernadette Bucher Karl Schmeckpeper Nikolai Matni Kostas Daniilidis 18 2 0 13 Mar 2020
Policy-Aware Model Learning for Policy Gradient Methods Romina Abachi Mohammad Ghavamzadeh Amir-massoud Farahmand 6 34 0 28 Feb 2020
Probably Approximately Correct Vision-Based Planning using Motion Primitives Sushant Veer Anirudha Majumdar 3DV 14 21 0 28 Feb 2020
Reinforcement Learning through Active Inference Alexander Tschantz Beren Millidge A. Seth Christopher L. Buckley AI4CE 26 69 0 28 Feb 2020
Emergent Communication with World Models Alexander I. Cowen-Rivers Jason Naradowsky 19 7 0 22 Feb 2020
Accelerating Reinforcement Learning with a Directional-Gaussian-Smoothing Evolution Strategy Jiaxing Zhang Hoang Tran Guannan Zhang 11 9 0 21 Feb 2020
Frequency-based Search-control in Dyna Yangchen Pan Jincheng Mei Amir-massoud Farahmand 11 15 0 14 Feb 2020
On the Sensory Commutativity of Action Sequences for Embodied Agents Hugo Caselles-Dupré Michael Garcia Ortiz David Filliat 19 4 0 13 Feb 2020
Effective Reinforcement Learning through Evolutionary Surrogate-Assisted Prescription Olivier Francon Santiago Gonzalez B. Hodjat Elliot Meyerson Risto Miikkulainen Xin Qiu H. Shahrzad 23 16 0 13 Feb 2020
A Novel Evolution Strategy with Directional Gaussian Smoothing for Blackbox Optimization Jiaxin Zhang Hoang Tran Dan Lu Guannan Zhang 22 17 0 07 Feb 2020
Ready Policy One: World Building Through Active Learning Philip J. Ball Jack Parker-Holder Aldo Pacchiano K. Choromanski Stephen J. Roberts OffRL 32 49 0 07 Feb 2020
Deep Reinforcement Learning for Autonomous Driving: A Survey B. R. Kiran Ibrahim Sobh V. Talpaert Patrick Mannion A. A. Sallab S. Yogamani P. Pérez 165 1,631 0 02 Feb 2020
Domain-Adversarial and Conditional State Space Model for Imitation Learning Ryogo Okumura Masashi Okada T. Taniguchi 21 11 0 31 Jan 2020
Rotation, Translation, and Cropping for Zero-Shot Generalization Chang Ye Ahmed Khalifa Philip Bontrager Julian Togelius 32 38 0 27 Jan 2020
Improving Image Autoencoder Embeddings with Perceptual Loss G. Pihlgren Fredrik Sandin Marcus Liwicki 25 33 0 10 Jan 2020
World Programs for Model-Based Learning and Planning in Compositional State and Action Spaces Marwin H. S. Segler 25 4 0 30 Dec 2019
Learning Predictive Models From Observation and Interaction Karl Schmeckpeper Annie Xie Oleh Rybkin Stephen Tian Kostas Daniilidis Sergey Levine Chelsea Finn DRL 33 60 0 30 Dec 2019
Deep Innovation Protection: Confronting the Credit Assignment Problem in Training Heterogeneous Neural Architectures S. Risi Kenneth O. Stanley 30 4 0 29 Dec 2019
SketchTransfer: A Challenging New Task for Exploring Detail-Invariance and the Abstractions Learned by Deep Networks Alex Lamb Sherjil Ozair Vikas Verma David R Ha AAML 23 4 0 25 Dec 2019
A Survey of Deep Reinforcement Learning in Video Games Kun Shao Zhentao Tang Yuanheng Zhu Nannan Li Dongbin Zhao OffRL AI4TS 43 188 0 23 Dec 2019
Variational Recurrent Models for Solving Partially Observable Control Tasks Dongqi Han Kenji Doya Jun Tani DRL OffRL 21 59 0 23 Dec 2019
Direct and indirect reinforcement learning Yang Guan Shengbo Eben Li Jingliang Duan Jie Li Yangang Ren Qi Sun B. Cheng OffRL 38 34 0 23 Dec 2019
Reinforcement Learning-based Visual Navigation with Information-Theoretic Regularization Qiaoyun Wu Kai Xu Jun Wang Mingliang Xu Xiaoxi Gong Tianyi Zhou 14 30 0 09 Dec 2019
Reinforcement Learning with Convolutional Reservoir Computing Hanten Chang K. Futagami 32 22 0 05 Dec 2019
Learning Human Objectives by Evaluating Hypothetical Behavior S. Reddy Anca Dragan Sergey Levine Shane Legg Jan Leike 12 75 0 05 Dec 2019
Scaling active inference Alexander Tschantz Manuel Baltieri A. Seth Christopher L. Buckley BDL AI4CE 19 68 0 24 Nov 2019
Crowd Density Forecasting by Modeling Patch-based Dynamics H. Minoura Ryo Yonetani Mai Nishimura Yoshitaka Ushiku 33 12 0 22 Nov 2019
Explicit Explore-Exploit Algorithms in Continuous State Spaces Mikael Henaff OffRL 22 31 0 01 Nov 2019
Learning to Predict Without Looking Ahead: World Models Without Forward Prediction C. Freeman Luke Metz David R Ha 33 35 0 29 Oct 2019
Making sense of sensory input Maciej Wołczyk Jacek Tabor Johannes Welbl Szymon Maszke Marek Sergot 19 52 0 05 Oct 2019
Improving Sample Efficiency in Model-Free Reinforcement Learning from Images Denis Yarats Amy Zhang Ilya Kostrikov Brandon Amos Joelle Pineau Rob Fergus DRL 44 439 0 02 Oct 2019
Mathematical Reasoning in Latent Space Dennis Lee Christian Szegedy M. Rabe Sarah M. Loos Kshitij Bansal 30 33 0 26 Sep 2019
Gradient-Aware Model-based Policy Search P. DÓro Alberto Maria Metelli Andrea Tirinzoni Matteo Papini Marcello Restelli 26 34 0 09 Sep 2019
Deterministic Value-Policy Gradients Qingpeng Cai L. Pan Pingzhong Tang 23 1 0 09 Sep 2019
Sample-efficient Deep Reinforcement Learning with Imaginary Rollouts for Human-Robot Interaction M. Thabet Massimiliano Patacchiola Angelo Cangelosi OffRL 11 12 0 15 Aug 2019
Towards Model-based Reinforcement Learning for Industry-near Environments Per-Arne Andersen M. G. Olsen Ole-Christoffer Granmo OffRL DRL 17 4 0 27 Jul 2019
Task Selection Policies for Multitask Learning John Glover Chris Hokamp OffRL 29 7 0 14 Jul 2019
Deep Active Inference as Variational Policy Gradients Beren Millidge BDL 32 103 0 08 Jul 2019
Learning Belief Representations for Imitation Learning in POMDPs Tanmay Gangwani Joel Lehman Qiang Liu Jian Peng 24 36 0 22 Jun 2019
Unsupervised State Representation Learning in Atari Ankesh Anand Evan Racah Sherjil Ozair Yoshua Bengio Marc-Alexandre Côté R. Devon Hjelm SSL 44 254 0 19 Jun 2019
Weight Agnostic Neural Networks Adam Gaier David R Ha OOD 38 239 0 11 Jun 2019
A Perspective on Objects and Systematic Generalization in Model-Based RL Sjoerd van Steenkiste Klaus Greff Jürgen Schmidhuber OCL OffRL 17 31 0 03 Jun 2019
Self-Adapting Goals Allow Transfer of Predictive Models to New Tasks K. Ellefsen J. Tørresen 13 1 0 04 Apr 2019
Learning to Paint With Model-based Deep Reinforcement Learning Zhewei Huang Wen Heng Shuchang Zhou GAN 21 16 0 11 Mar 2019
Efficient Reinforcement Learning for StarCraft by Abstract Forward Models and Transfer Learning Ruo-Ze Liu Haifeng Guo Xiaozhong Ji Yang Yu Zhen-Jia Pang Zitai Xiao Yuzhou Wu Tong Lu OffRL 19 13 0 02 Mar 2019