v1v2v3v4v5 (latest)

Learning Latent Dynamics for Planning from Pixels

12 November 2018

Papers citing "Learning Latent Dynamics for Planning from Pixels"

50 / 994 papers shown

Title
Safe Deep RL in 3D Environments using Human Feedback Matthew Rahtz Vikrant Varma Ramana Kumar Zachary Kenton Shane Legg Jan Leike 75 4 0 20 Jan 2022
Accelerating Representation Learning with View-Consistent Dynamics in Data-Efficient Reinforcement Learning Tao Huang Jiacheng Wang Xiao Chen 75 4 0 18 Jan 2022
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems Jack Parker-Holder Raghunandan Rajan Xingyou Song André Biedenkapp Yingjie Miao ... Vu-Linh Nguyen Roberto Calandra Aleksandra Faust Frank Hutter Marius Lindauer AI4CE 105 107 0 11 Jan 2022
Linear Variational State-Space Filtering Daniel Pfrommer Nikolai Matni 53 1 0 04 Jan 2022
SimSR: Simple Distance-based State Representation for Deep Reinforcement Learning Hongyu Zang Xin Li Mingzhong Wang 70 15 0 31 Dec 2021
Do Androids Dream of Electric Fences? Safety-Aware Reinforcement Learning with Latent Shielding Peter He Borja G. Leon Francesco Belardinelli 44 9 0 21 Dec 2021
Compositional Learning-based Planning for Vision POMDPs Sampada Deglurkar M. H. Lim Johnathan Tucker Zachary Sunberg Aleksandra Faust Claire Tomlin 72 5 0 17 Dec 2021
CEM-GD: Cross-Entropy Method with Gradient Descent Planner for Model-Based Reinforcement Learning Kevin Huang Sahin Lale Ugo Rosolia Yuanyuan Shi Anima Anandkumar 53 9 0 14 Dec 2021
Conservative and Adaptive Penalty for Model-Based Safe Reinforcement Learning Yecheng Jason Ma Andrew Shen Osbert Bastani Dinesh Jayaraman 61 25 0 14 Dec 2021
Next Steps: Learning a Disentangled Gait Representation for Versatile Quadruped Locomotion Alexander L. Mitchell W. Merkt Mathieu Geisert Siddhant Gangapurwala Martin Engelcke Oiwi Parker Jones Ioannis Havoutis Ingmar Posner 39 4 0 09 Dec 2021
Trajectory-Constrained Deep Latent Visual Attention for Improved Local Planning in Presence of Heterogeneous Terrain Stefan Wapnick Travis Manderson David Meger Gregory Dudek 94 5 0 09 Dec 2021
Model-Value Inconsistency as a Signal for Epistemic Uncertainty Angelos Filos Eszter Vértes Zita Marinho Gregory Farquhar Diana Borsa A. Friesen Feryal M. P. Behbahani Tom Schaul André Barreto Simon Osindero 86 7 0 08 Dec 2021
Information is Power: Intrinsic Control via Information Capture Nick Rhinehart Jenny Wang Glen Berseth John D. Co-Reyes Danijar Hafner Chelsea Finn Sergey Levine 60 9 0 07 Dec 2021
ED2: Environment Dynamics Decomposition World Models for Continuous Control Jianye Hao Yifu Yuan Cong Wang Zhen Wang OffRL 78 1 0 06 Dec 2021
Maximum Entropy Model-based Reinforcement Learning Oleg Svidchenko A. Shpilman 52 6 0 02 Dec 2021
Robust Robotic Control from Pixels using Contrastive Recurrent State-Space Models Nitish Srivastava Walter A. Talbott Martin Bertran Lopez Shuangfei Zhai J. Susskind 71 4 0 02 Dec 2021
Differentiable Spatial Planning using Transformers Devendra Singh Chaplot Deepak Pathak Jitendra Malik 136 40 0 02 Dec 2021
Diffusion Autoencoders: Toward a Meaningful and Decodable Representation Konpat Preechakul Nattanat Chatthee Suttisak Wizadwongsa Supasorn Suwajanakorn SyDa DiffM 125 434 0 30 Nov 2021
Learning State Representations via Retracing in Reinforcement Learning Changmin Yu Dong Li Jianye Hao Jun Wang Neil Burgess 77 8 0 24 Nov 2021
A Free Lunch from the Noise: Provable and Practical Exploration for Representation Learning Zhaolin Ren Tianjun Zhang Csaba Szepesvári Bo Dai 106 20 0 22 Nov 2021
Learning Representations for Pixel-based Control: What Matters and Why? Manan Tomar Utkarsh Aashu Mishra Amy Zhang Matthew E. Taylor SSL OffRL 101 26 0 15 Nov 2021
Modular Networks Prevent Catastrophic Interference in Model-Based Multi-Task Reinforcement Learning Robin Schiewer Laurenz Wiskott 19 3 0 15 Nov 2021
Model-Based Reinforcement Learning via Stochastic Hybrid Models Hany Abdulsamad Jan Peters 13 2 0 11 Nov 2021
Gradients are Not All You Need Luke Metz C. Freeman S. Schoenholz Tal Kachman 98 93 0 10 Nov 2021
Dealing with the Unknown: Pessimistic Offline Reinforcement Learning Jinning Li Chen Tang Masayoshi Tomizuka Wei Zhan OffRL 86 22 0 09 Nov 2021
Solving PDE-constrained Control Problems Using Operator Learning Rakhoon Hwang Jae Yong Lee J. Shin H. Hwang AI4CE 167 48 0 09 Nov 2021
Survey of Deep Learning Methods for Inverse Problems S. Kamyab Zihreh Azimifar Rasool Sabzi Paul Fieguth 50 3 0 07 Nov 2021
Value Function Spaces: Skill-Centric State Abstractions for Long-Horizon Reasoning Dhruv Shah Peng Xu Yao Lu Ted Xiao Alexander Toshev Sergey Levine Brian Ichter OffRL 81 43 0 04 Nov 2021
Model-Based Episodic Memory Induces Dynamic Hybrid Controls Hung Le Thommen George Karimpanal Majid Abdolshah T. Tran Svetha Venkatesh 72 19 0 03 Nov 2021
Constructing Neural Network-Based Models for Simulating Dynamical Systems Christian Møldrup Legaard Thomas Schranz G. Schweiger Ján Drgovna Basak Falay C. Gomes Alexandros Iosifidis M. Abkar P. Larsen PINN AI4CE 63 98 0 02 Nov 2021
Mastering Atari Games with Limited Data Weirui Ye Shao-Wei Liu Thanard Kurutach Pieter Abbeel Yang Gao VLM 135 242 0 30 Oct 2021
URLB: Unsupervised Reinforcement Learning Benchmark Michael Laskin Denis Yarats Hao Liu Kimin Lee Albert Zhan Kevin Lu Catherine Cang Lerrel Pinto Pieter Abbeel SSL OffRL 82 139 0 28 Oct 2021
DreamerPro: Reconstruction-Free Model-Based Reinforcement Learning with Prototypical Representations Fei Deng Ingook Jang Sungjin Ahn VLM 79 62 0 27 Oct 2021
Dream to Explore: Adaptive Simulations for Autonomous Systems Z. Sheikhbahaee Dongshu Luo Blake Vanberlo S. Yun A. Safron Jesse Hoey DRL 41 0 0 27 Oct 2021
Towards Robust Bisimulation Metric Learning Mete Kemertas Tristan Aumentado-Armstrong OffRL 75 48 0 27 Oct 2021
Multitask Adaptation by Retrospective Exploration with Learned World Models Artem Zholus Aleksandr I. Panov CLL 29 0 0 25 Oct 2021
Recurrent Off-policy Baselines for Memory-based Continuous Control Zhihan Yang Hai V. Nguyen CLL OffRL 80 24 0 25 Oct 2021
Policy Search using Dynamic Mirror Descent MPC for Model Free Off Policy RL Aarush Gupta 44 0 0 23 Oct 2021
Contrastive Active Inference Pietro Mazzaglia Tim Verbelen Bart Dhoedt 80 26 0 19 Oct 2021
Discovering and Achieving Goals via World Models Russell Mendonca Oleh Rybkin Kostas Daniilidis Danijar Hafner Deepak Pathak 94 127 0 18 Oct 2021
Provable RL with Exogenous Distractors via Multistep Inverse Dynamics Yonathan Efroni Dipendra Kumar Misra A. Krishnamurthy Alekh Agarwal John Langford OffRL 73 23 0 17 Oct 2021
Learn Proportional Derivative Controllable Latent Space from Pixels Weiyao Wang Marin Kobilarov Gregory Hager 62 1 0 15 Oct 2021
Block Contextual MDPs for Continual Learning Shagun Sodhani Franziska Meier Joelle Pineau Amy Zhang CLL 109 27 0 13 Oct 2021
Planning from Pixels in Environments with Combinatorially Hard Search Spaces Marco Bagatella Miroslav Olsák Michal Rolínek Georg Martius OffRL 54 7 0 12 Oct 2021
Action-Sufficient State Representation Learning for Control with Structural Constraints Erdun Gao Chaochao Lu Liu Leqi José Miguel Hernández-Lobato Clark Glymour Bernhard Schölkopf Kun Zhang 92 35 0 12 Oct 2021
Neural Algorithmic Reasoners are Implicit Planners Andreea Deac Petar Velivcković Ognjen Milinković Pierre-Luc Bacon Jian Tang Mladen Nikolic OffRL 72 24 0 11 Oct 2021
Recurrent Model-Free RL Can Be a Strong Baseline for Many POMDPs Tianwei Ni Benjamin Eysenbach Ruslan Salakhutdinov 81 110 0 11 Oct 2021
Learning Temporally-Consistent Representations for Data-Efficient Reinforcement Learning Trevor A. McInroe Lukas Schafer Stefano V. Albrecht OffRL 59 8 0 11 Oct 2021
Evaluating model-based planning and planner amortization for continuous control Arunkumar Byravan Leonard Hasenclever Piotr Trochim M. Berk Mirza Alessandro Davide Ialongo ... Jost Tobias Springenberg A. Abdolmaleki N. Heess J. Merel Martin Riedmiller 97 17 0 07 Oct 2021
On The Transferability of Deep-Q Networks M. Sabatelli Pierre Geurts 83 2 0 06 Oct 2021