Dream to Control: Learning Behaviors by Latent Imagination

3 December 2019

Jimmy Ba

Papers citing "Dream to Control: Learning Behaviors by Latent Imagination"

50 / 339 papers shown

Title
Mastering Atari Games with Limited Data Weirui Ye Shao-Wei Liu Thanard Kurutach Pieter Abbeel Yang Gao VLM 59 226 0 30 Oct 2021
Accelerating Robotic Reinforcement Learning via Parameterized Action Primitives Murtaza Dalal Deepak Pathak Ruslan Salakhutdinov 42 90 0 28 Oct 2021
DreamerPro: Reconstruction-Free Model-Based Reinforcement Learning with Prototypical Representations Fei Deng Ingook Jang Sungjin Ahn VLM 29 62 0 27 Oct 2021
Self-Consistent Models and Values Roy Miles Kate Baumli Zita Marinho Angelos Filos Matteo Hessel Hado van Hasselt David Silver 38 8 0 25 Oct 2021
A Differentiable Newton-Euler Algorithm for Real-World Robotics M. Lutter Vallijah Subasri Joe Watson Frank Rudzicz 29 7 0 24 Oct 2021
Discovering and Achieving Goals via World Models Russell Mendonca Oleh Rybkin Kostas Daniilidis Danijar Hafner Deepak Pathak 29 119 0 18 Oct 2021
Planning from Pixels in Environments with Combinatorially Hard Search Spaces Marco Bagatella Miroslav Olsák Michal Rolínek Georg Martius OffRL 26 6 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 59 32 0 12 Oct 2021
Cooperative Assistance in Robotic Surgery through Multi-Agent Reinforcement Learning Paul Maria Scheikl B. Gyenes Tornike Davitashvili Rayan Younis A. Schulze Beat P. Müller-Stich Gerhard Neumann M. Wagner F. Mathis-Ullrich 24 12 0 10 Oct 2021
How to Sense the World: Leveraging Hierarchy in Multimodal Perception for Robust Reinforcement Learning Agents Miguel Vasco Hang Yin Francisco S. Melo Ana Paiva 34 7 0 07 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 55 17 0 07 Oct 2021
On The Transferability of Deep-Q Networks M. Sabatelli Pierre Geurts 37 2 0 06 Oct 2021
Combining Physics and Deep Learning to learn Continuous-Time Dynamics Models M. Lutter Jan Peters PINN AI4CE 43 39 0 05 Oct 2021
Solving the Real Robot Challenge using Deep Reinforcement Learning Robert McCarthy Francisco Roldan Sanchez Qiang Wang David Córdova Bulens Kevin McGuinness Noel E. O'Connor S. Redmond 29 11 0 30 Sep 2021
Learning Dynamics Models for Model Predictive Agents M. Lutter Leonard Hasenclever Arunkumar Byravan Gabriel Dulac-Arnold Piotr Trochim N. Heess J. Merel Yuval Tassa AI4CE 57 26 0 29 Sep 2021
Example-Driven Model-Based Reinforcement Learning for Solving Long-Horizon Visuomotor Tasks Bohan Wu Suraj Nair Li Fei-Fei Chelsea Finn OffRL LM&Ro 47 24 0 21 Sep 2021
Socially Supervised Representation Learning: the Role of Subjectivity in Learning Efficient Representations Julius Taylor Eleni Nisioti Clément Moulin-Frier 19 0 0 20 Sep 2021
Dropout's Dream Land: Generalization from Learned Simulators to Reality Zac Wellmer James T. Kwok SyDa 24 9 0 17 Sep 2021
Comparing Reconstruction- and Contrastive-based Models for Visual Task Planning Constantinos Chamzas M. Lippi Michael C. Welle Anastasia Varava Lydia E. Kavraki Danica Kragic SSL DRL OffRL 56 4 0 14 Sep 2021
Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain Jianye Hao Tianpei Yang Hongyao Tang Chenjia Bai Jinyi Liu Zhaopeng Meng Peng Liu Zhen Wang OffRL 41 93 0 14 Sep 2021
Learning to Synthesize Programs as Interpretable and Generalizable Policies Dweep Trivedi Jesse Zhang Shao-Hua Sun Joseph J. Lim NAI 24 72 0 31 Aug 2021
Deep Reinforcement Learning at the Edge of the Statistical Precipice Rishabh Agarwal Max Schwarzer Pablo Samuel Castro Aaron Courville Marc G. Bellemare OffRL 61 639 0 30 Aug 2021
Planning with Learned Dynamic Model for Unsupervised Point Cloud Registration Haobo Jiang Jin Xie J. Qian Jian Yang 3DPC 34 10 0 05 Aug 2021
High Performance Across Two Atari Paddle Games Using the Same Perceptual Control Architecture Without Training T. Gulrez W. Mansell 24 0 0 04 Aug 2021
Physics-informed Dyna-Style Model-Based Deep Reinforcement Learning for Dynamic Control Xin-Yang Liu Jian-Xun Wang AI4CE 31 38 0 31 Jul 2021
Mastering Visual Continuous Control: Improved Data-Augmented Reinforcement Learning Denis Yarats Rob Fergus A. Lazaric Lerrel Pinto OffRL 36 338 0 20 Jul 2021
Visual Adversarial Imitation Learning using Variational Models Rafael Rafailov Tianhe Yu Aravind Rajeswaran Chelsea Finn SSL 30 49 0 16 Jul 2021
CoBERL: Contrastive BERT for Reinforcement Learning Andrea Banino Adria Puidomenech Badia Jacob Walker Tim Scholtes Jovana Mitrović Charles Blundell OffRL 32 36 0 12 Jul 2021
Backprop-Free Reinforcement Learning with Active Neural Generative Coding Alexander Ororbia A. Mali 41 15 0 10 Jul 2021
Learning Vision-Guided Quadrupedal Locomotion End-to-End with Cross-Modal Transformers Ruihan Yang Minghao Zhang Nicklas Hansen Huazhe Xu Xiaolong Wang OffRL 23 102 0 08 Jul 2021
RRL: Resnet as representation for Reinforcement Learning Rutav Shah Vikash Kumar OffRL 36 112 0 07 Jul 2021
Multi-Modal Mutual Information (MuMMI) Training for Robust Self-Supervised Deep Reinforcement Learning Kaiqi Chen Yong Lee Harold Soh SSL 33 20 0 06 Jul 2021
Stabilizing Deep Q-Learning with ConvNets and Vision Transformers under Data Augmentation Nicklas Hansen H. Su Xiaolong Wang OffRL 44 135 0 01 Jul 2021
MHER: Model-based Hindsight Experience Replay Rui Yang Meng Fang Lei Han Yali Du Feng Luo Xiu Li OffRL 29 17 0 01 Jul 2021
Applications of the Free Energy Principle to Machine Learning and Neuroscience Beren Millidge DRL 28 7 0 30 Jun 2021
Learning Task Informed Abstractions Xiang Fu Ge Yang Pulkit Agrawal Tommi Jaakkola 34 65 0 29 Jun 2021
FitVid: Overfitting in Pixel-Level Video Prediction Mohammad Babaeizadeh M. Saffar Suraj Nair Sergey Levine Chelsea Finn D. Erhan VLM 54 82 0 24 Jun 2021
Behavioral Priors and Dynamics Models: Improving Performance and Domain Transfer in Offline RL Catherine Cang Aravind Rajeswaran Pieter Abbeel Michael Laskin OffRL 32 29 0 16 Jun 2021
Temporal Predictive Coding For Model-Based Planning In Latent Space Tung D. Nguyen Rui Shu Tu Pham Hung Bui Stefano Ermon OffRL 32 57 0 14 Jun 2021
Learning Markov State Abstractions for Deep Reinforcement Learning Cameron Allen Neev Parikh Omer Gottesman George Konidaris BDL OffRL 42 36 0 08 Jun 2021
Exploration and preference satisfaction trade-off in reward-free learning Noor Sajid P. Tigas Alexey Zakharov Z. Fountas Karl J. Friston 22 20 0 08 Jun 2021
PlayVirtual: Augmenting Cycle-Consistent Virtual Trajectories for Reinforcement Learning Tao Yu Cuiling Lan Wenjun Zeng Mingxiao Feng Zhizheng Zhang Zhibo Chen OffRL 25 46 0 08 Jun 2021
Principled Exploration via Optimistic Bootstrapping and Backward Induction Chenjia Bai Lingxiao Wang Lei Han Jianye Hao Animesh Garg Peng Liu Zhaoran Wang OffRL 23 38 0 13 May 2021
Learning to drive from a world on rails Di Chen V. Koltun Philipp Krahenbuhl 98 116 0 03 May 2021
NeRF-VAE: A Geometry Aware 3D Scene Generative Model Adam R. Kosiorek Heiko Strathmann Daniel Zoran Pol Moreno R. Schneider Sovna Mokrá Danilo Jimenez Rezende DRL 37 139 0 01 Apr 2021
Fundamental Challenges in Deep Learning for Stiff Contact Dynamics Mihir Parmar Mathew Halm Michael Posa 29 36 0 29 Mar 2021
PredRNN: A Recurrent Neural Network for Spatiotemporal Predictive Learning Yunbo Wang Haixu Wu Jianjin Zhang Zhifeng Gao Jianmin Wang Philip S. Yu Mingsheng Long 28 382 0 17 Mar 2021
Sample-efficient Reinforcement Learning Representation Learning with Curiosity Contrastive Forward Dynamics Model Thanh Nguyen Tung M. Luu Thang Vu Chang D. Yoo 23 17 0 15 Mar 2021
A Whole Brain Probabilistic Generative Model: Toward Realizing Cognitive Architectures for Developmental Robots T. Taniguchi Hiroshi Yamakawa Takayuki Nagai Kenji Doya M. Sakagami Masahiro Suzuki Tomoaki Nakamura Akira Taniguchi 28 23 0 15 Mar 2021
Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models Sam Bond-Taylor Adam Leach Yang Long Chris G. Willcocks VLM TPM 48 485 0 08 Mar 2021