Recurrent World Models Facilitate Policy Evolution

4 September 2018

Papers citing "Recurrent World Models Facilitate Policy Evolution"

50 / 505 papers shown

Title
Simplifying Model-based RL: Learning Representations, Latent-space Models, and Policies with One Objective Raj Ghugare Homanga Bharadhwaj Benjamin Eysenbach Sergey Levine Ruslan Salakhutdinov OffRL 48 25 0 18 Sep 2022
Concept-modulated model-based offline reinforcement learning for rapid generalization Nicholas A. Ketz Praveen K. Pilly OffRL 27 1 0 07 Sep 2022
Transformers are Sample-Efficient World Models Vincent Micheli Eloi Alonso Franccois Fleuret VLM OffRL 19 162 0 01 Sep 2022
Intelligent problem-solving as integrated hierarchical reinforcement learning Manfred Eppe Christian Gumbsch Matthias Kerzel Phuong D. H. Nguyen Martin Volker Butz S. Wermter 31 75 0 18 Aug 2022
Implicit Two-Tower Policies Yunfan Zhao Qingkai Pan K. Choromanski Deepali Jain Vikas Sindhwani OffRL 31 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 31 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 29 8 0 25 Jul 2022
The Free Energy Principle for Perception and Action: A Deep Learning Perspective Pietro Mazzaglia Tim Verbelen Ozan Çatal Bart Dhoedt DRL AI4CE 30 31 0 13 Jul 2022
A survey of multimodal deep generative models Masahiro Suzuki Y. Matsuo SyDa DRL 57 76 0 05 Jul 2022
Variational Causal Dynamics: Discovering Modular World Models from Interventions Anson Lei Bernhard Schölkopf Ingmar Posner CML 19 8 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 50 101 0 19 Jun 2022
CtrlFormer: Learning Transferable State Representation for Visual Control via Transformer Yao Mu Shoufa Chen Mingyu Ding Jianyu Chen Runjian Chen Ping Luo ViT 23 9 0 17 Jun 2022
The State of Sparse Training in Deep Reinforcement Learning L. Graesser Utku Evci Erich Elsen Pablo Samuel Castro OffRL 12 34 0 17 Jun 2022
Hybrid Value Estimation for Off-policy Evaluation and Offline Reinforcement Learning Xuefeng Jin Xu-Hui Liu Shengyi Jiang Yang Yu OffRL 31 4 0 04 Jun 2022
Offline Reinforcement Learning with Causal Structured World Models Zhengbang Zhu Xiong-Hui Chen Hong Tian Kun Zhang Yang Yu CML OffRL 12 16 0 03 Jun 2022
Graph Backup: Data Efficient Backup Exploiting Markovian Transitions Zhengyao Jiang Tianjun Zhang Robert Kirk Tim Rocktaschel Edward Grefenstette OffRL 8 2 0 31 May 2022
Multi-Source Transfer Learning for Deep Model-Based Reinforcement Learning Remo Sasso M. Sabatelli M. Wiering 49 9 0 28 May 2022
Iso-Dream: Isolating and Leveraging Noncontrollable Visual Dynamics in World Models Minting Pan Xiangming Zhu Yunbo Wang Xiaokang Yang 26 39 0 27 May 2022
POLTER: Policy Trajectory Ensemble Regularization for Unsupervised Reinforcement Learning Frederik Schubert C. Benjamins Sebastian Dohler Bodo Rosenhahn Marius Lindauer SSL OffRL 62 4 0 23 May 2022
Memory-efficient Reinforcement Learning with Value-based Knowledge Consolidation Qingfeng Lan Yangchen Pan Jun Luo A. R. Mahmood OffRL 29 8 0 22 May 2022
Towards biologically plausible Dreaming and Planning in recurrent spiking networks C. Capone P. Paolucci CLL 31 7 0 20 May 2022
Planning with Diffusion for Flexible Behavior Synthesis Michael Janner Yilun Du J. Tenenbaum Sergey Levine DiffM 202 633 0 20 May 2022
Deterministic training of generative autoencoders using invertible layers Gianluigi Silvestri Daan Roos L. Ambrogioni TPM 21 2 0 19 May 2022
CARNet: A Dynamic Autoencoder for Learning Latent Dynamics in Autonomous Driving Tasks A. Pak Hemanth Manjunatha Dimitar Filev Panagiotis Tsiotras 14 5 0 18 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 41 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 25 88 0 08 May 2022
Fixing Malfunctional Objects With Learned Physical Simulation and Functional Prediction Yining Hong Kaichun Mo L. Yi Leonidas J. Guibas Antonio Torralba J. Tenenbaum Chuang Gan 42 5 0 05 May 2022
RLFlow: Optimising Neural Network Subgraph Transformation with World Models Sean Parker Sami Alabed Eiko Yoneki 16 0 0 03 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 22 28 0 01 May 2022
TTOpt: A Maximum Volume Quantized Tensor Train-based Optimization and its Application to Reinforcement Learning Konstantin Sozykin Andrei Chertkov R. Schutski Anh-Huy Phan A. Cichocki Ivan Oseledets 14 35 0 30 Apr 2022
Predicting Real-time Scientific Experiments Using Transformer models and Reinforcement Learning J. M. Parrilla-Gutierrez AI4CE 24 0 0 25 Apr 2022
Deep Reinforcement Learning Using a Low-Dimensional Observation Filter for Visual Complex Video Game Playing V. A. Kich J. C. Jesus Ricardo B. Grando A. H. Kolling Gabriel V. Heisler R. S. Guerra OffRL 30 2 0 24 Apr 2022
Learning Sequential Latent Variable Models from Multimodal Time Series Data Oliver Limoyo Trevor Ablett Jonathan Kelly 25 5 0 21 Apr 2022
Evaluating Vision Transformer Methods for Deep Reinforcement Learning from Pixels Tianxin Tao Daniele Reda M. van de Panne ViT 11 19 0 11 Apr 2022
Gradient-Based Trajectory Optimization With Learned Dynamics Bhavya Sukhija Nathanael Kohler Miguel Zamora Simon Zimmermann Sebastian Curi Andreas Krause Stelian Coros 30 9 0 09 Apr 2022
Temporal Alignment for History Representation in Reinforcement Learning Aleksandr Ermolov E. Sangineto N. Sebe AI4TS 21 2 0 07 Apr 2022
Learning List-wise Representation in Reinforcement Learning for Ads Allocation with Multiple Auxiliary Tasks Zehua Wang Guogang Liao Xiaowen Shi Xiaoxu Wu Chuheng Zhang Yongkang Wang Xingxing Wang Dong Wang OffRL 19 4 0 02 Apr 2022
Factored Adaptation for Non-Stationary Reinforcement Learning Fan Feng Erdun Gao Kun Zhang Sara Magliacane CML OffRL 47 32 0 30 Mar 2022
NavDreams: Towards Camera-Only RL Navigation Among Humans Daniel Dugas Olov Andersson Roland Siegwart Jen Jen Chung VGen 23 12 0 23 Mar 2022
Multi-View Dreaming: Multi-View World Model with Contrastive Learning Akira Kinose Masashi Okada Ryogo Okumura T. Taniguchi OffRL 21 10 0 15 Mar 2022
Towards Self-Supervised Learning of Global and Object-Centric Representations Federico Baldassarre Hossein Azizpour SSL 3DPC OCL 46 13 0 11 Mar 2022
Tactile-Sensitive NewtonianVAE for High-Accuracy Industrial Connector Insertion Ryogo Okumura Nobuki Nishio T. Taniguchi 22 8 0 10 Mar 2022
SAGE: Generating Symbolic Goals for Myopic Models in Deep Reinforcement Learning A. Chester Michael Dann Fabio Zambetta John Thangarajah 11 0 0 09 Mar 2022
Temporal Difference Learning for Model Predictive Control Nicklas Hansen Xiaolong Wang H. Su PINN MU 36 224 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 45 3 0 28 Feb 2022
Gradient-free Multi-domain Optimization for Autonomous Systems Hongrui Zheng Johannes Betz Rahul Mangharam 14 7 0 28 Feb 2022
Abstraction for Deep Reinforcement Learning Murray Shanahan Melanie Mitchell OffRL 35 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 27 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 32 4 0 20 Jan 2022
Bayesian sense of time in biological and artificial brains Z. Fountas Alexey Zakharov 35 0 0 14 Jan 2022