Title
CLOUD: Contrastive Learning of Unsupervised Dynamics Jianren Wang Yujie Lu Hang Zhao 102 5 0 23 Oct 2020
Bridging Imagination and Reality for Model-Based Deep Reinforcement Learning Guangxiang Zhu Minghao Zhang Honglak Lee Chongjie Zhang OffRL 140 18 0 23 Oct 2020
Model-based Policy Optimization with Unsupervised Model Adaptation Jian Shen Han Zhao Weinan Zhang Yong Yu 114 28 0 19 Oct 2020
Variational Dynamic for Self-Supervised Exploration in Deep Reinforcement Learning Chenjia Bai Peng Liu Kaiyu Liu Zhaoran Wang Yingnan Zhao Lingxiao Wang SSL 67 18 0 17 Oct 2020
Masked Contrastive Representation Learning for Reinforcement Learning Jinhua Zhu Yingce Xia Lijun Wu Jiajun Deng Wen-gang Zhou Tao Qin Houqiang Li SSL OffRL 110 60 0 15 Oct 2020
Broadly-Exploring, Local-Policy Trees for Long-Horizon Task Planning Brian Ichter P. Sermanet Corey Lynch 92 38 0 13 Oct 2020
Smaller World Models for Reinforcement Learning Jan Robine Tobias Uelwer Stefan Harmeling DRL 51 3 0 12 Oct 2020
Is Plug-in Solver Sample-Efficient for Feature-based Reinforcement Learning? Qiwen Cui Lin F. Yang OffRL 94 14 0 12 Oct 2020
Mastering Atari with Discrete World Models Danijar Hafner Timothy Lillicrap Mohammad Norouzi Jimmy Ba DRL 209 877 0 05 Oct 2020
Offline Learning for Planning: A Summary Giorgio Angelotti Nicolas Drougard Caroline Ponzoni Carvalho Chanel OffRL 51 4 0 05 Oct 2020
Episodic Memory for Learning Subjective-Timescale Models Alexey Zakharov Matthew Crosby Zafeirios Fountas 41 4 0 03 Oct 2020
Beyond Tabula-Rasa: a Modular Reinforcement Learning Approach for Physically Embedded 3D Sokoban Peter Karkus M. Berk Mirza A. Guez Andrew Jaegle Timothy Lillicrap Lars Buesing N. Heess T. Weber OffRL 67 8 0 03 Oct 2020
Trust-Region Method with Deep Reinforcement Learning in Analog Design Space Exploration Kai-En Yang Chia-Yu Tsai Hung-Hao Shen Chen-Feng Chiang Feng-Ming Tsai Chunguang Wang Yiju Ting Chia-Shun Yeh C. Lai 53 14 0 29 Sep 2020
Learning Task-Agnostic Action Spaces for Movement Optimization Amin Babadi M. van de Panne Caren Liu Perttu Hämäläinen 51 2 0 22 Sep 2020
Energy-based Surprise Minimization for Multi-Agent Value Factorization Karush Suri Xiaolong Shi Konstantinos Plataniotis Y. Lawryshyn 59 1 0 16 Sep 2020
Multimodal Safety-Critical Scenarios Generation for Decision-Making Algorithms Evaluation Wenhao Ding Baiming Chen Yue Liu Kim Ji Eun Ding Zhao AAML 102 106 0 16 Sep 2020
Detecting and adapting to crisis pattern with context based Deep Reinforcement Learning Eric Benhamou David Saltiel Jean-Jacques Ohana Jamal Atif 67 19 0 07 Sep 2020
On the model-based stochastic value gradient for continuous reinforcement learning Brandon Amos Samuel Stanton Denis Yarats A. Wilson 88 71 0 28 Aug 2020
Document-editing Assistants and Model-based Reinforcement Learning as a Path to Conversational AI Katya Kudashkina P. Pilarski R. Sutton KELM 84 6 0 27 Aug 2020
Self-Supervised Human Activity Recognition by Augmenting Generative Adversarial Networks Mohammad Zaki Zadeh Ashwin Ramesh Babu Ashish Jaiswal F. Makedon 30 16 0 26 Aug 2020
Deep Model-Based Reinforcement Learning for High-Dimensional Problems, a Survey Aske Plaat W. Kosters Mike Preuss BDL OffRL 127 17 0 11 Aug 2020
Dreaming: Model-based Reinforcement Learning by Latent Imagination without Reconstruction Masashi Okada T. Taniguchi OffRL 116 84 0 29 Jul 2020
Self-Adapting Recurrent Models for Object Pushing from Learning in Simulation Lin Cong Michael Görner Philipp Ruppel Hongzhuo Liang Norman Hendrich Jianwei Zhang 99 13 0 27 Jul 2020
Predictive Information Accelerates Learning in RL Kuang-Huei Lee Ian S. Fischer Anthony Z. Liu Yijie Guo Honglak Lee John F. Canny S. Guadarrama 125 73 0 24 Jul 2020
Learning the Latent Space of Robot Dynamics for Cutting Interaction Inference S. Rezaei-Shoshtari David Meger I. Sharf BDL DRL 43 2 0 22 Jul 2020
Goal-Aware Prediction: Learning to Model What Matters Suraj Nair Silvio Savarese Chelsea Finn 85 66 0 14 Jul 2020
Data-Efficient Reinforcement Learning with Self-Predictive Representations Max Schwarzer Ankesh Anand Rishab Goel R. Devon Hjelm Aaron Courville Philip Bachman 126 321 0 12 Jul 2020
SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning Kimin Lee Michael Laskin A. Srinivas Pieter Abbeel OffRL 119 205 0 09 Jul 2020
Evaluating the Apperception Engine Richard Evans Jose Hernandez-Orallo Johannes Welbl Pushmeet Kohli Marek Sergot 75 5 0 09 Jul 2020
Bidirectional Model-based Policy Optimization Hang Lai Jian Shen Weinan Zhang Yong Yu 76 58 0 04 Jul 2020
Learning "What-if" Explanations for Sequential Decision-Making Ioana Bica Daniel Jarrett Alihan Huyuk M. Schaar OffRL 60 2 0 02 Jul 2020
What can I do here? A Theory of Affordances in Reinforcement Learning Khimya Khetarpal Zafarali Ahmed Gheorghe Comanici David Abel Doina Precup 78 55 0 26 Jun 2020
Efficient Model-Based Reinforcement Learning through Optimistic Policy Search and Planning Sebastian Curi Felix Berkenkamp Andreas Krause 132 85 0 15 Jun 2020
Continuous Control for Searching and Planning with a Learned Model Xuxi Yang Werner Duvaud Peng Wei 66 5 0 12 Jun 2020
Maximum Entropy Model Rollouts: Fast Model Based Policy Optimization without Compounding Errors Chi Zhang S. Kuppannagari Viktor Prasanna 43 4 0 08 Jun 2020
Model-Based Reinforcement Learning with Value-Targeted Regression Alex Ayoub Zeyu Jia Csaba Szepesvári Mengdi Wang Lin F. Yang OffRL 135 306 0 01 Jun 2020
PlanGAN: Model-based Planning With Sparse Rewards and Multiple Goals Henry Charlesworth Giovanni Montana OffRL 147 26 0 01 Jun 2020
MOPO: Model-based Offline Policy Optimization Tianhe Yu G. Thomas Lantao Yu Stefano Ermon James Zou Sergey Levine Chelsea Finn Tengyu Ma OffRL 119 776 0 27 May 2020
Learning to Simulate Dynamic Environments with GameGAN Seung Wook Kim Yuhao Zhou Jonah Philion Antonio Torralba Sanja Fidler GAN 102 106 0 25 May 2020
Mutual Information Maximization for Robust Plannable Representations Yiming Ding I. Clavera Pieter Abbeel 62 15 0 16 May 2020
Lifelong Control of Off-grid Microgrid with Model Based Reinforcement Learning Simone Totaro Ioannis Boukas Anders Jonsson Bertrand Cornélusse 27 31 0 16 May 2020
Context-aware Dynamics Model for Generalization in Model-Based Reinforcement Learning Kimin Lee Younggyo Seo Seunghyun Lee Honglak Lee Jinwoo Shin 103 133 0 14 May 2020
TOMA: Topological Map Abstraction for Reinforcement Learning Zhao-Heng Yin Wu-Jun Li 37 2 0 11 May 2020
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 586 2,052 0 04 May 2020
Reinforcement Learning with Augmented Data Michael Laskin Kimin Lee Adam Stooke Lerrel Pinto Pieter Abbeel A. Srinivas OffRL 168 661 0 30 Apr 2020
Sample-Efficient Model-based Actor-Critic for an Interactive Dialogue Task Katya Kudashkina Valliappa Chockalingam Graham W. Taylor Michael Bowling OffRL LLMAG 64 2 0 28 Apr 2020
Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels Ilya Kostrikov Denis Yarats Rob Fergus OffRL 201 794 0 28 Apr 2020
A Review on Deep Learning Techniques for Video Prediction Sergiu Oprea P. Martinez-Gonzalez Alberto Garcia-Garcia John Alejandro Castro-Vargas S. Orts-Escolano Jose Garcia-Rodriguez Antonis Argyros 109 256 0 10 Apr 2020
CURL: Contrastive Unsupervised Representations for Reinforcement Learning A. Srinivas Michael Laskin Pieter Abbeel SSL DRL OffRL 168 1,097 0 08 Apr 2020
Weakly-Supervised Reinforcement Learning for Controllable Behavior Lisa Lee Benjamin Eysenbach Ruslan Salakhutdinov S. Gu Chelsea Finn SSL 91 26 0 06 Apr 2020