Learning model-based planning from scratch

19 July 2017

Papers citing "Learning model-based planning from scratch"

27 / 27 papers shown

Title
ViMo: A Generative Visual GUI World Model for App Agents Dezhao Luo Bohan Tang Kang Li Georgios Papoudakis Jifei Song S. Gong Haifeng Zhang Jun Wang Kun Shao LM&Ro VGen 51 0 0 15 Apr 2025
A Review of Symbolic, Subsymbolic and Hybrid Methods for Sequential Decision Making Carlos Núnez-Molina Pablo Mesejo Juan Fernández-Olivares 30 3 0 20 Apr 2023
Retrieval-Augmented Reinforcement Learning Anirudh Goyal A. Friesen Andrea Banino T. Weber Nan Rosemary Ke ... Michal Valko Simon Osindero Timothy Lillicrap N. Heess Charles Blundell OffRL 32 53 0 17 Feb 2022
MBRL-Lib: A Modular Library for Model-based Reinforcement Learning Luis Pineda Brandon Amos Amy Zhang Nathan Lambert Roberto Calandra OffRL 28 46 0 20 Apr 2021
Learning Efficient Constraint Graph Sampling for Robotic Sequential Manipulation Joaquim Ortiz de Haro Valentin N. Hartmann Ozgur S. Oguz Marc Toussaint 9 11 0 09 Nov 2020
Deep Visual Reasoning: Learning to Predict Action Sequences for Task and Motion Planning from an Initial Scene Image Danny Driess Jung-Su Ha Marc Toussaint LRM 13 100 0 09 Jun 2020
Comprehensive Review of Deep Reinforcement Learning Methods and Applications in Economics Amir H. Mosavi Pedram Ghamisi Yaser Faghan Puhong Duan OffRL 27 152 0 21 Mar 2020
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
Combining Q-Learning and Search with Amortized Value Estimates Jessica B. Hamrick V. Bapst Alvaro Sanchez-Gonzalez Tobias Pfaff T. Weber Lars Buesing Peter W. Battaglia OffRL 27 47 0 05 Dec 2019
Learning Compositional Koopman Operators for Model-Based Control Yunzhu Li Hao He Jiajun Wu Dina Katabi Antonio Torralba 26 112 0 18 Oct 2019
NeoNav: Improving the Generalization of Visual Navigation via Generating Next Expected Observations Qiaoyun Wu Tianyi Zhou Jun Wang Kai Xu 16 15 0 17 Jun 2019
Deep Reinforcement Learning for Cyber Security Thanh Thi Nguyen Vijay Janapa Reddi OffRL AI4CE 10 313 0 13 Jun 2019
Risks from Learned Optimization in Advanced Machine Learning Systems Evan Hubinger Chris van Merwijk Vladimir Mikulik Joar Skalse Scott Garrabrant 45 146 0 05 Jun 2019
Neural Consciousness Flow Xiaoran Xu Wei Feng Zhiqing Sun Zhihong Deng GNN AI4CE 27 2 0 30 May 2019
Structured agents for physical construction V. Bapst Alvaro Sanchez-Gonzalez Carl Doersch Kimberly L. Stachenfeld Pushmeet Kohli Peter W. Battaglia Jessica B. Hamrick AI4CE 30 99 0 05 Apr 2019
Prospection: Interpretable Plans From Language By Predicting the Future Chris Paxton Yonatan Bisk Jesse Thomason Arunkumar Byravan Dieter Fox LM&Ro 26 47 0 20 Mar 2019
Model-Predictive Policy Learning with Uncertainty Regularization for Driving in Dense Traffic Mikael Henaff A. Canziani Yann LeCun OOD 28 122 0 08 Jan 2019
Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable Objects, and Fluids Yunzhu Li Jiajun Wu Russ Tedrake J. Tenenbaum Antonio Torralba PINN AI4CE 32 389 0 03 Oct 2018
Relational Deep Reinforcement Learning V. Zambaldi David Raposo Adam Santoro V. Bapst Yujia Li ... Victoria Langston Razvan Pascanu M. Botvinick Oriol Vinyals Peter W. Battaglia OffRL 24 219 0 05 Jun 2018
Relational inductive biases, deep learning, and graph networks Peter W. Battaglia Jessica B. Hamrick V. Bapst Alvaro Sanchez-Gonzalez V. Zambaldi ... Pushmeet Kohli M. Botvinick Oriol Vinyals Yujia Li Razvan Pascanu AI4CE NAI 121 3,083 0 04 Jun 2018
Graph networks as learnable physics engines for inference and control Alvaro Sanchez-Gonzalez N. Heess Jost Tobias Springenberg J. Merel Martin Riedmiller R. Hadsell Peter W. Battaglia GNN AI4CE PINN OCL 42 593 0 04 Jun 2018
Intelligent Trainer for Model-Based Reinforcement Learning Yuanlong Li Linsen Dong Xin Zhou Yonggang Wen K. Guan OffRL 24 0 0 24 May 2018
Learning to Search with MCTSnets A. Guez T. Weber Ioannis Antonoglou Karen Simonyan Oriol Vinyals Daan Wierstra Rémi Munos David Silver 34 85 0 13 Feb 2018
A Brief Survey of Deep Reinforcement Learning Kai Arulkumaran M. Deisenroth Miles Brundage Anil Anthony Bharath OffRL 59 2,776 0 19 Aug 2017
Imagination-Augmented Agents for Deep Reinforcement Learning T. Weber S. Racanière David P. Reichert Lars Buesing A. Guez ... Razvan Pascanu Peter W. Battaglia Demis Hassabis David Silver Daan Wierstra LM&Ro 51 551 0 19 Jul 2017
Interaction Networks for Learning about Objects, Relations and Physics Peter W. Battaglia Razvan Pascanu Matthew Lai Danilo Jimenez Rezende Koray Kavukcuoglu AI4CE OCL PINN GNN 283 1,401 0 01 Dec 2016
A Deep Learning Approach for Joint Video Frame and Reward Prediction in Atari Games Felix Leibfried Nate Kushman Katja Hofmann 46 43 0 21 Nov 2016