Learning Latent Dynamics for Planning from Pixels

12 November 2018

Papers citing "Learning Latent Dynamics for Planning from Pixels"

50 / 397 papers shown

Title
Learning Robust Dynamics through Variational Sparse Gating A. Jain Shivakanth Sujit S. Joshi Vincent Michalski Danijar Hafner Samira Ebrahimi Kahou 27 8 0 21 Oct 2022
Safe Policy Improvement in Constrained Markov Decision Processes Luigi Berducci Radu Grosu OffRL 36 2 0 20 Oct 2022
On the Feasibility of Cross-Task Transfer with Model-Based Reinforcement Learning Yifan Xu Nicklas Hansen Zirui Wang Yung-Chieh Chan H. Su Zhuowen Tu OffRL 33 16 0 19 Oct 2022
Planning for Sample Efficient Imitation Learning Zhao-Heng Yin Weirui Ye Qifeng Chen Yang Gao OffRL 33 21 0 18 Oct 2022
On Uncertainty in Deep State Space Models for Model-Based Reinforcement Learning P. Becker Gerhard Neumann 30 9 0 17 Oct 2022
A Comprehensive Survey of Data Augmentation in Visual Reinforcement Learning Guozheng Ma Zhen Wang Zhecheng Yuan Xueqian Wang Bo Yuan Dacheng Tao OffRL 45 27 0 10 Oct 2022
See, Plan, Predict: Language-guided Cognitive Planning with Video Prediction Maria Attarian Advaya Gupta Ziyi Zhou Wei Yu Igor Gilitschenski Animesh Garg LM&Ro 29 7 0 07 Oct 2022
Safe Reinforcement Learning From Pixels Using a Stochastic Latent Representation Yannick Hogewind T. D. Simão Tal Kachman N. Jansen 21 10 0 02 Oct 2022
S2P: State-conditioned Image Synthesis for Data Augmentation in Offline Reinforcement Learning Daesol Cho D. Shim H. J. Kim OffRL 45 11 0 30 Sep 2022
Hyperbolic VAE via Latent Gaussian Distributions Seunghyuk Cho Juyong Lee Dongwoo Kim DRL 54 5 0 30 Sep 2022
Learning Parsimonious Dynamics for Generalization in Reinforcement Learning Tankred Saanum Eric Schulz 31 1 0 29 Sep 2022
Unified Control Framework for Real-Time Interception and Obstacle Avoidance of Fast-Moving Objects with Diffusion Variational Autoencoder Apan Dastider Hao Fang Mingjie Lin 26 1 0 27 Sep 2022
It Takes Two: Learning to Plan for Human-Robot Cooperative Carrying Eley Ng Ziang Liu Monroe Kennedy 33 18 0 26 Sep 2022
Stochastic Gradient Descent Captures How Children Learn About Physics Luca M. Schulze Buschoff Eric Schulz Marcel Binz 29 0 0 25 Sep 2022
Mastering the Unsupervised Reinforcement Learning Benchmark from Pixels Sai Rajeswar Pietro Mazzaglia Tim Verbelen Alexandre Piché Bart Dhoedt Rameswar Panda Alexandre Lacoste SSL 28 21 0 24 Sep 2022
Partially Observable Markov Decision Processes in Robotics: A Survey M. Lauri David Hsu Joni Pajarinen 66 98 0 21 Sep 2022
Locally Constrained Representations in Reinforcement Learning Somjit Nath Rushiv Arora Samira Ebrahimi Kahou OOD OffRL 34 0 0 20 Sep 2022
An information-theoretic perspective on intrinsic motivation in reinforcement learning: a survey A. Aubret L. Matignon S. Hassas 39 35 0 19 Sep 2022
A Biologically-Inspired Dual Stream World Model Arthur Juliani Margaret E. Sereno 19 0 0 16 Sep 2022
Continuous MDP Homomorphisms and Homomorphic Policy Gradient S. Rezaei-Shoshtari Rosie Zhao Prakash Panangaden David Meger Doina Precup 35 18 0 15 Sep 2022
HARP: Autoregressive Latent Video Prediction with High-Fidelity Image Generator Younggyo Seo Kimin Lee Fangchen Liu Stephen James Pieter Abbeel VGen 29 28 0 15 Sep 2022
Multi-Step Prediction in Linearized Latent State Spaces for Representation Learning A. Tytarenko BDL 38 1 0 02 Sep 2022
Transformers are Sample-Efficient World Models Vincent Micheli Eloi Alonso Franccois Fleuret VLM OffRL 19 163 0 01 Sep 2022
The Neural Process Family: Survey, Applications and Perspectives Saurav Jha Dong Gong Xuesong Wang Richard Turner L. Yao BDL 83 24 0 01 Sep 2022
The Alignment Problem from a Deep Learning Perspective Richard Ngo Lawrence Chan Sören Mindermann 68 183 0 30 Aug 2022
Efficient Planning in a Compact Latent Action Space Zhengyao Jiang Tianjun Zhang Michael Janner Yueying Li Tim Rocktaschel Edward Grefenstette Yuandong Tian OffRL 24 37 0 22 Aug 2022
Sparse Representation Learning with Modified q-VAE towards Minimal Realization of World Model Taisuke Kobayashi Ryoma Watanuki DRL 29 6 0 08 Aug 2022
Contrastive UCB: Provably Efficient Contrastive Self-Supervised Learning in Online Reinforcement Learning Shuang Qiu Lingxiao Wang Chenjia Bai Zhuoran Yang Zhaoran Wang SSL OffRL 26 32 0 29 Jul 2022
Learning Deformable Object Manipulation from Expert Demonstrations G. Salhotra Isabella Liu Marcus Dominguez-Kuhne Gaurav Sukhatme 34 27 0 20 Jul 2022
Making Linear MDPs Practical via Contrastive Representation Learning Tianjun Zhang Tongzheng Ren Mengjiao Yang Joseph E. Gonzalez Dale Schuurmans Bo Dai 25 44 0 14 Jul 2022
Unsupervised learning of observation functions in state-space models by nonparametric moment methods Qi An Y. Kevrekidis Fei Lu Mauro Maggioni 17 2 0 12 Jul 2022
Stabilizing Off-Policy Deep Reinforcement Learning from Pixels Edoardo Cetin Philip J. Ball Steve Roberts Oya Celiktutan 35 36 0 03 Jul 2022
Masked World Models for Visual Control Younggyo Seo Danijar Hafner Hao Liu Fangchen Liu Stephen James Kimin Lee Pieter Abbeel OffRL 93 147 0 28 Jun 2022
DayDreamer: World Models for Physical Robot Learning Philipp Wu Alejandro Escontrela Danijar Hafner Ken Goldberg Pieter Abbeel 61 277 0 28 Jun 2022
A Survey on Model-based Reinforcement Learning Fan Luo Tian Xu Hang Lai Xiong-Hui Chen Weinan Zhang Yang Yu OffRL LRM 53 101 0 19 Jun 2022
BYOL-Explore: Exploration by Bootstrapped Prediction Z. Guo S. Thakoor Miruna Pislar Bernardo Avila-Pires Florent Altché ... Yunhao Tang Michal Valko Rémi Munos M. G. Azar Bilal Piot 22 68 0 16 Jun 2022
Diffusion Models for Video Prediction and Infilling Tobias Höppe Arash Mehrjou Stefan Bauer Didrik Nielsen Andrea Dittadi DiffM VGen 38 131 0 15 Jun 2022
Contrastive Learning as Goal-Conditioned Reinforcement Learning Benjamin Eysenbach Tianjun Zhang Ruslan Salakhutdinov Sergey Levine SSL OffRL 39 141 0 15 Jun 2022
Does Self-supervised Learning Really Improve Reinforcement Learning from Pixels? Xiang Li Jinghuan Shang Srijan Das Michael S. Ryoo SSL 35 31 0 10 Jun 2022
Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations Cong Lu Philip J. Ball Tim G. J. Rudner Jack Parker-Holder Michael A. Osborne Yee Whye Teh OffRL 32 52 0 09 Jun 2022
Multi-Source Transfer Learning for Deep Model-Based Reinforcement Learning Remo Sasso M. Sabatelli M. Wiering 49 9 0 28 May 2022
AANG: Automating Auxiliary Learning Lucio Dery Paul Michel M. Khodak Graham Neubig Ameet Talwalkar 41 9 0 27 May 2022
Iso-Dream: Isolating and Leveraging Noncontrollable Visual Dynamics in World Models Minting Pan Xiangming Zhu Yunbo Wang Xiaokang Yang 29 39 0 27 May 2022
Flow-based Recurrent Belief State Learning for POMDPs Xiaoyu Chen Yao Mu Ping Luo Sheng Li Jianyu Chen 45 18 0 23 May 2022
Offline Policy Comparison with Confidence: Benchmarks and Baselines Anurag Koul Mariano Phielipp Alan Fern OffRL 28 0 0 22 May 2022
Learning Task-relevant Representations for Generalization via Characteristic Functions of Reward Sequence Distributions Rui Yang Jie Wang Zijie Geng Mingxuan Ye Shuiwang Ji Bin Li Fengli Wu OOD 36 20 0 20 May 2022
Planning with Diffusion for Flexible Behavior Synthesis Michael Janner Yilun Du J. Tenenbaum Sergey Levine DiffM 202 637 0 20 May 2022
The Primacy Bias in Deep Reinforcement Learning Evgenii Nikishin Max Schwarzer P. DÓro Pierre-Luc Bacon Rameswar Panda OnRL 96 181 0 16 May 2022
CCLF: A Contrastive-Curiosity-Driven Learning Framework for Sample-Efficient Reinforcement Learning Chenyu Sun Hangwei Qian Chunyan Miao OffRL 32 12 0 02 May 2022
Training and Evaluation of Deep Policies using Reinforcement Learning and Generative Models Ali Ghadirzadeh Petra Poklukar Karol Arndt Chelsea Finn Ville Kyrki Danica Kragic Mårten Björkman OffRL 22 1 0 18 Apr 2022