Model-Based Reinforcement Learning via Latent-Space Collocation

24 June 2021

Papers citing "Model-Based Reinforcement Learning via Latent-Space Collocation"

38 / 38 papers shown

Title
MInCo: Mitigating Information Conflicts in Distracted Visual Model-based Reinforcement Learning Shiguang Sun Hanbo Zhang Zeyang Liu Xinrui Yang Lipeng Wan Bing Yan Xingyu Chen Xuguang Lan 89 0 0 05 Apr 2025
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 76 30,021 0 01 Mar 2022
Adaptive Gaussian Process based Stochastic Trajectory Optimization for Motion Planning Yichang Feng Haiyun Zhang Jin Wang Guodong Lu 41 30 0 30 Dec 2021
Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors Karl Pertsch Oleh Rybkin F. Ebert Chelsea Finn Dinesh Jayaraman Sergey Levine 27 72 0 23 Jun 2020
dm_control: Software and Tasks for Continuous Control Yuval Tassa S. Tunyasuvunakool Alistair Muldal Yotam Doron Piotr Trochim ... Steven Bohez J. Merel Tom Erez Timothy Lillicrap N. Heess LM&Ro 51 403 0 22 Jun 2020
AWAC: Accelerating Online Reinforcement Learning with Offline Datasets Ashvin Nair Abhishek Gupta Murtaza Dalal Sergey Levine OffRL OnRL 59 601 0 16 Jun 2020
Divide-and-Conquer Monte Carlo Tree Search For Goal-Directed Planning Giambattista Parascandolo Lars Buesing J. Merel Leonard Hasenclever John Aslanides Jessica B. Hamrick N. Heess Alexander Neitz T. Weber 22 31 0 23 Apr 2020
Hallucinative Topological Memory for Zero-Shot Visual Planning Kara Liu Thanard Kurutach Christine Tung Pieter Abbeel Aviv Tamar 41 48 0 27 Feb 2020
Dream to Control: Learning Behaviors by Latent Imagination Danijar Hafner Timothy Lillicrap Jimmy Ba Mohammad Norouzi VLM 81 1,333 0 03 Dec 2019
Planning with Goal-Conditioned Policies Soroush Nasiriany Vitchyr H. Pong Steven Lin Sergey Levine OffRL 92 218 0 19 Nov 2019
Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning Tianhe Yu Deirdre Quillen Zhanpeng He Ryan Julian Avnish Narayan Hayden Shively Adithya Bellathur Karol Hausman Chelsea Finn Sergey Levine OffRL 165 1,145 0 24 Oct 2019
If MaxEnt RL is the Answer, What is the Question? Benjamin Eysenbach Sergey Levine 36 58 0 04 Oct 2019
Deep Dynamics Models for Learning Dexterous Manipulation Anusha Nagabandi K. Konolige Sergey Levine Vikash Kumar 207 410 0 25 Sep 2019
Model Based Planning with Energy Based Models Yilun Du Toru Lin Igor Mordatch 29 38 0 15 Sep 2019
Hierarchical Foresight: Self-Supervised Learning of Long-Horizon Tasks via Visual Subgoal Generation Suraj Nair Chelsea Finn VGen 40 138 0 12 Sep 2019
Search on the Replay Buffer: Bridging Planning and Reinforcement Learning Benjamin Eysenbach Ruslan Salakhutdinov Sergey Levine OffRL 39 289 0 12 Jun 2019
PRECOG: PREdiction Conditioned On Goals in Visual Multi-Agent Settings Nicholas Rhinehart R. McAllister Kris Kitani Sergey Levine 24 373 0 03 May 2019
End-to-End Robotic Reinforcement Learning without Reward Engineering Avi Singh Larry Yang Kristian Hartikainen Chelsea Finn Sergey Levine SSL OffRL 53 267 0 16 Apr 2019
Keyframing the Future: Keyframe Discovery for Visual Prediction and Planning Karl Pertsch Oleh Rybkin Jingyun Yang Shenghao Zhou Konstantinos G. Derpanis Kostas Daniilidis Joseph J. Lim Andrew Jaegle VGen 59 24 0 11 Apr 2019
Soft Actor-Critic Algorithms and Applications Tuomas Haarnoja Aurick Zhou Kristian Hartikainen George Tucker Sehoon Ha ... Vikash Kumar Henry Zhu Abhishek Gupta Pieter Abbeel Sergey Levine 94 2,391 0 13 Dec 2018
Visual Foresight: Model-Based Deep Reinforcement Learning for Vision-Based Robotic Control F. Ebert Chelsea Finn Sudeep Dasari Annie Xie Alex X. Lee Sergey Levine SSL 78 383 0 03 Dec 2018
Learning Latent Dynamics for Planning from Pixels Danijar Hafner Timothy Lillicrap Ian S. Fischer Ruben Villegas David R Ha Honglak Lee James Davidson BDL 55 1,416 0 12 Nov 2018
Learning Plannable Representations with Causal InfoGAN Thanard Kurutach Aviv Tamar Ge Yang Stuart J. Russell Pieter Abbeel GAN DRL 40 180 0 24 Jul 2018
Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models Kurtland Chua Roberto Calandra R. McAllister Sergey Levine BDL 108 1,263 0 30 May 2018
Reinforcement Learning and Control as Probabilistic Inference: Tutorial and Review Sergey Levine AI4CE BDL 41 667 0 02 May 2018
Semi-parametric Topological Memory for Navigation Nikolay Savinov Alexey Dosovitskiy V. Koltun 31 379 0 01 Mar 2018
Temporal Difference Models: Model-Free Deep RL for Model-Based Control Vitchyr H. Pong S. Gu Murtaza Dalal Sergey Levine OffRL 81 238 0 25 Feb 2018
Stochastic Video Generation with a Learned Prior Emily L. Denton Rob Fergus VGen 61 525 0 21 Feb 2018
Learning and Querying Fast Generative Models for Reinforcement Learning Lars Buesing T. Weber S. Racanière S. M. Ali Eslami Danilo Jimenez Rezende ... Fabio Viola F. Besse Karol Gregor Demis Hassabis Daan Wierstra OffRL 44 134 0 08 Feb 2018
Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations Aravind Rajeswaran Vikash Kumar Abhishek Gupta Giulia Vezzani John Schulman E. Todorov Sergey Levine 85 1,079 0 28 Sep 2017
Classical Planning in Deep Latent Space: Bridging the Subsymbolic-Symbolic Boundary Masataro Asai A. Fukunaga 92 171 0 29 Apr 2017
Learning Quadrotor Dynamics Using Neural Network for Flight Control Somil Bansal Anayo K. Akametalu Frank J. Jiang F. Laine Claire Tomlin 13 145 0 19 Oct 2016
Sequential Neural Models with Stochastic Layers Marco Fraccaro Søren Kaae Sønderby Ulrich Paquet Ole Winther BDL 76 395 0 24 May 2016
Unsupervised Learning for Physical Interaction through Video Prediction Chelsea Finn Ian Goodfellow Sergey Levine 43 1,042 0 23 May 2016
Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images Manuel Watter Jost Tobias Springenberg Joschka Boedecker Martin Riedmiller BDL 35 839 0 24 Jun 2015
A Recurrent Latent Variable Model for Sequential Data Junyoung Chung Kyle Kastner Laurent Dinh Kratarth Goel Aaron Courville Yoshua Bengio DRL BDL 53 1,250 0 07 Jun 2015
From Pixels to Torques: Policy Learning with Deep Dynamical Models Niklas Wahlström Thomas B. Schon M. Deisenroth 38 189 0 08 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 316 149,474 0 22 Dec 2014