From Pixels to Torques: Policy Learning with Deep Dynamical Models

8 February 2015

Papers citing "From Pixels to Torques: Policy Learning with Deep Dynamical Models"

50 / 54 papers shown

Title
Dream to Fly: Model-Based Reinforcement Learning for Vision-Based Drone Flight Angel Romero Ashwin Shenai Ismail Geles Elie Aljalbout Davide Scaramuzza 89 1 0 24 Jan 2025
Learning Multiple Initial Solutions to Optimization Problems Elad Sharony Heng Yang Tong Che Marco Pavone Shie Mannor Peter Karkus 41 2 0 04 Nov 2024
Integrating DeepRL with Robust Low-Level Control in Robotic Manipulators for Non-Repetitive Reaching Tasks Mehdi Heydari Shahna Seyed Adel Alizadeh Kolagar Jouni Mattila 34 4 0 04 Feb 2024
On the Role of the Action Space in Robot Manipulation Learning and Sim-to-Real Transfer Elie Aljalbout Felix Frank Maximilian Karl Patrick van der Smagt 30 20 0 06 Dec 2023
Automatic Music Playlist Generation via Simulation-based Reinforcement Learning Federico Tomasi Joseph Cauteruccio Surya Kanoria K. Ciosek Matteo Rinaldi Zhenwen Dai OffRL 30 5 0 13 Oct 2023
A Review of Symbolic, Subsymbolic and Hybrid Methods for Sequential Decision Making Carlos Núnez-Molina Pablo Mesejo Juan Fernández-Olivares 39 3 0 20 Apr 2023
Learning to Optimize in Model Predictive Control Jacob Sacks Byron Boots 37 22 0 05 Dec 2022
Learning Sampling Distributions for Model Predictive Control Jacob Sacks Byron Boots 21 21 0 05 Dec 2022
On Uncertainty in Deep State Space Models for Model-Based Reinforcement Learning P. Becker Gerhard Neumann 32 9 0 17 Oct 2022
Data-Assisted Vision-Based Hybrid Control for Robust Stabilization with Obstacle Avoidance via Learning of Perception Maps Alejandro Murillo-González J. Poveda 23 1 0 04 Sep 2022
Guaranteed Discovery of Control-Endogenous Latent States with Multi-Step Inverse Models Alex Lamb Riashat Islam Yonathan Efroni Aniket Didolkar Dipendra Kumar Misra Dylan J. Foster Lekan Molu Rajan Chari A. Krishnamurthy John Langford 51 24 0 17 Jul 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 27 28 0 01 May 2022
Learning Sequential Latent Variable Models from Multimodal Time Series Data Oliver Limoyo Trevor Ablett Jonathan Kelly 25 5 0 21 Apr 2022
When Physics Meets Machine Learning: A Survey of Physics-Informed Machine Learning Chuizheng Meng Sungyong Seo Defu Cao Sam Griesemer Yan Liu PINN AI4CE 56 57 0 31 Mar 2022
A Surrogate-Assisted Controller for Expensive Evolutionary Reinforcement Learning Yuxing Wang Tiantian Zhang Yongzhe Chang Bin Liang Xueqian Wang Bo Yuan 29 15 0 01 Jan 2022
Low-Dimensional State and Action Representation Learning with MDP Homomorphism Metrics N. Botteghi M. Poel B. Sirmaçek C. Brune 24 3 0 04 Jul 2021
Learning Task Informed Abstractions Xiang Fu Ge Yang Pulkit Agrawal Tommi Jaakkola 34 65 0 29 Jun 2021
Active Learning in Robotics: A Review of Control Principles Annalisa T. Taylor Thomas A. Berrueta Todd D. Murphey 32 71 0 25 Jun 2021
Learning Knowledge Graph-based World Models of Textual Environments Prithviraj Ammanabrolu Mark O. Riedl 3DV 28 31 0 17 Jun 2021
Visual Navigation in Real-World Indoor Environments Using End-to-End Deep Reinforcement Learning Jonáš Kulhánek Erik Derner Robert Babuška 31 40 0 21 Oct 2020
Heteroscedastic Uncertainty for Robust Generative Latent Dynamics Oliver Limoyo Bryan Chan Filip Marić Brandon Wagstaff Rupam Mahmood Jonathan Kelly 35 8 0 18 Aug 2020
Learning Long-term Visual Dynamics with Region Proposal Interaction Networks Haozhi Qi Xiaolong Wang Deepak Pathak Yi Ma Jitendra Malik 33 57 0 05 Aug 2020
Learning Invariant Representations for Reinforcement Learning without Reconstruction Amy Zhang R. McAllister Roberto Calandra Y. Gal Sergey Levine OOD SSL 60 464 0 18 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
Effective Reinforcement Learning through Evolutionary Surrogate-Assisted Prescription Olivier Francon Santiago Gonzalez B. Hodjat Elliot Meyerson Risto Miikkulainen Xin Qiu H. Shahrzad 26 16 0 13 Feb 2020
Deep Innovation Protection: Confronting the Credit Assignment Problem in Training Heterogeneous Neural Architectures S. Risi Kenneth O. Stanley 35 4 0 29 Dec 2019
Imagined Value Gradients: Model-Based Policy Optimization with Transferable Latent Dynamics Models Arunkumar Byravan Jost Tobias Springenberg A. Abdolmaleki Roland Hafner Michael Neunert Thomas Lampe Noah Y. Siegel N. Heess Martin Riedmiller OffRL 17 41 0 09 Oct 2019
Object-centric Forward Modeling for Model Predictive Control Yufei Ye Dhiraj Gandhi Abhinav Gupta Shubham Tulsiani LM&Ro OCL 28 38 0 08 Oct 2019
Deterministic Value-Policy Gradients Qingpeng Cai L. Pan Pingzhong Tang 29 1 0 09 Sep 2019
Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model Alex X. Lee Anusha Nagabandi Pieter Abbeel Sergey Levine OffRL BDL 36 373 0 01 Jul 2019
Recurrent Kalman Networks: Factorized Inference in High-Dimensional Deep Feature Spaces P. Becker Harit Pandya Gregor H. W. Gebhardt Cheng Zhao James Taylor Gerhard Neumann BDL 24 94 0 17 May 2019
Deep Neuroevolution of Recurrent and Discrete World Models S. Risi Kenneth O. Stanley OCL 22 53 0 28 Apr 2019
Deep Visual MPC-Policy Learning for Navigation Noriaki Hirose F. Xia Roberto Martin-Martin Amir Sadeghian Silvio Savarese 27 97 0 07 Mar 2019
Autonomous Tissue Manipulation via Surgical Robot Using Learning Based Model Predictive Control Changyeob Shin P. Ferguson Sahba Aghajani Pedram Ji Ma E. Dutson J. Rosen 14 92 0 04 Feb 2019
Policy Optimization with Model-based Explorations Feiyang Pan Qingpeng Cai Anxiang Zeng C. Pan Qing Da Hua-Lin He Qing He Pingzhong Tang 36 11 0 18 Nov 2018
Model-Based Reinforcement Learning via Meta-Policy Optimization I. Clavera Jonas Rothfuss John Schulman Yasuhiro Fujita Tamim Asfour Pieter Abbeel 30 225 0 14 Sep 2018
Model-Based Regularization for Deep Reinforcement Learning with Transcoder Networks Felix Leibfried Peter Vrancx OffRL 14 7 0 06 Sep 2018
Recurrent World Models Facilitate Policy Evolution David R Ha Jürgen Schmidhuber SyDa TPM 52 921 0 04 Sep 2018
SPNets: Differentiable Fluid Dynamics for Deep Neural Networks Connor Schenck Dieter Fox PINN 3DPC AI4CE 185 162 0 15 Jun 2018
Generative Temporal Models with Spatial Memory for Partially Observed Environments Marco Fraccaro Danilo Jimenez Rezende Yori Zwols Alexander Pritzel S. M. Ali Eslami Fabio Viola 31 28 0 25 Apr 2018
World Models David R Ha Jürgen Schmidhuber SyDa 53 1,036 0 27 Mar 2018
State Representation Learning for Control: An Overview Timothée Lesort Natalia Díaz Rodríguez Jean-François Goudou David Filliat OffRL 50 319 0 12 Feb 2018
Robust Locally-Linear Controllable Embedding Ershad Banijamali Rui Shu Mohammad Ghavamzadeh Hung Bui A. Ghodsi BDL 32 93 0 15 Oct 2017
A Brief Survey of Deep Reinforcement Learning Kai Arulkumaran M. Deisenroth Miles Brundage Anil Anthony Bharath OffRL 65 2,780 0 19 Aug 2017
Seamless Integration and Coordination of Cognitive Skills in Humanoid Robots: A Deep Learning Approach Jung-Hun Hwang Jun Tani 4 12 0 08 Jun 2017
Learning to Represent Haptic Feedback for Partially-Observable Tasks Jaeyong Sung J. Salisbury Ashutosh Saxena SSL 33 32 0 17 May 2017
Recurrent Environment Simulators Silvia Chiappa S. Racanière Daan Wierstra S. Mohamed 28 206 0 07 Apr 2017
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
RL $^2$ : Fast Reinforcement Learning via Slow Reinforcement Learning Yan Duan John Schulman Xi Chen Peter L. Bartlett Ilya Sutskever Pieter Abbeel OffRL 35 1,008 0 09 Nov 2016
Learning to Poke by Poking: Experiential Learning of Intuitive Physics Pulkit Agrawal Ashvin Nair Pieter Abbeel Jitendra Malik Sergey Levine SSL 10 563 0 23 Jun 2016