Title
Multi-Task Reinforcement Learning with Context-based Representations Shagun Sodhani Amy Zhang Joelle Pineau 34 182 0 11 Feb 2021
A Survey on Deep Reinforcement Learning for Audio-Based Applications S. Latif Heriberto Cuayáhuitl Farrukh Pervez Fahad Shamshad Hafiz Shehbaz Ali Min Zhang OffRL 60 73 0 01 Jan 2021
A Tutorial on Sparse Gaussian Processes and Variational Inference Felix Leibfried Vincent Dutordoir S. T. John N. Durrande GP 42 49 0 27 Dec 2020
Planning from Pixels in Atari with Learned Symbolic Representations Andrea Dittadi Frederik K. Drachmann Thomas Bolander 28 11 0 16 Dec 2020
Safely Learning Dynamical Systems from Short Trajectories Amir Ali Ahmadi A. Chaudhry Vikas Sindhwani Stephen Tu 29 4 0 24 Nov 2020
Distilling a Hierarchical Policy for Planning and Control via Representation and Reinforcement Learning Jung-Su Ha Young-Jin Park Hyeok-Joo Chae Soon-Seo Park Han-Lim Choi 35 3 0 16 Nov 2020
Learning World Transition Model for Socially Aware Robot Navigation Yuxiang Cui Haodong Zhang Yue Wang R. Xiong 28 17 0 08 Nov 2020
Model-based Policy Optimization with Unsupervised Model Adaptation Jian Shen Han Zhao Weinan Zhang Yong Yu 37 27 0 19 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 34 55 0 15 Oct 2020
Smaller World Models for Reinforcement Learning Jan Robine Tobias Uelwer Stefan Harmeling DRL 25 3 0 12 Oct 2020
Mastering Atari with Discrete World Models Danijar Hafner Timothy Lillicrap Mohammad Norouzi Jimmy Ba DRL 53 823 0 05 Oct 2020
Multimodal Safety-Critical Scenarios Generation for Decision-Making Algorithms Evaluation Wenhao Ding Baiming Chen Bo Li Kim Ji Eun Ding Zhao AAML 16 100 0 16 Sep 2020
Document-editing Assistants and Model-based Reinforcement Learning as a Path to Conversational AI Katya Kudashkina P. Pilarski R. Sutton KELM 25 6 0 27 Aug 2020
Self-Adapting Recurrent Models for Object Pushing from Learning in Simulation Lin Cong Michael Görner Philipp Ruppel Hongzhuo Liang Norman Hendrich Jianwei Zhang 18 14 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 23 72 0 24 Jul 2020
Data-Efficient Reinforcement Learning with Self-Predictive Representations Max Schwarzer Ankesh Anand Rishab Goel R. Devon Hjelm Aaron Courville Philip Bachman 41 312 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 25 199 0 09 Jul 2020
Learning "What-if" Explanations for Sequential Decision-Making Ioana Bica Daniel Jarrett Alihan Huyuk M. Schaar OffRL 21 2 0 02 Jul 2020
Efficient Model-Based Reinforcement Learning through Optimistic Policy Search and Planning Sebastian Curi Felix Berkenkamp Andreas Krause 33 82 0 15 Jun 2020
Maximum Entropy Model Rollouts: Fast Model Based Policy Optimization without Compounding Errors Chi Zhang S. Kuppannagari Viktor Prasanna 22 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 57 299 0 01 Jun 2020
PlanGAN: Model-based Planning With Sparse Rewards and Multiple Goals Henry Charlesworth Giovanni Montana OffRL 29 24 0 01 Jun 2020
Learning to Simulate Dynamic Environments with GameGAN Seung Wook Kim Yuhao Zhou Jonah Philion Antonio Torralba Sanja Fidler GAN 25 102 0 25 May 2020
Context-aware Dynamics Model for Generalization in Model-Based Reinforcement Learning Kimin Lee Younggyo Seo Seunghyun Lee Honglak Lee Jinwoo Shin 45 125 0 14 May 2020
Reinforcement Learning with Augmented Data Michael Laskin Kimin Lee Adam Stooke Lerrel Pinto Pieter Abbeel A. Srinivas OffRL 20 648 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 35 2 0 28 Apr 2020
CURL: Contrastive Unsupervised Representations for Reinforcement Learning A. Srinivas Michael Laskin Pieter Abbeel SSL DRL OffRL 49 1,063 0 08 Apr 2020
Weakly-Supervised Reinforcement Learning for Controllable Behavior Lisa Lee Benjamin Eysenbach Ruslan Salakhutdinov S. Gu Chelsea Finn SSL 22 26 0 06 Apr 2020
Will we ever have Conscious Machines? P. Krauss Andreas Maier 38 30 0 31 Mar 2020
Neuroevolution of Self-Interpretable Agents Yujin Tang Duong Nguyen David R Ha 32 111 0 18 Mar 2020
Active Perception and Representation for Robotic Manipulation Youssef Y. Zaky Gaurav Paruthi B. Tripp James Bergstra 28 16 0 15 Mar 2020
Learning Predictive Representations for Deformable Objects Using Contrastive Estimation Wilson Yan Ashwin Vangipuram Pieter Abbeel Lerrel Pinto 37 188 0 11 Mar 2020
Predictive Coding for Locally-Linear Control Rui Shu Tung D. Nguyen Yinlam Chow Tu Pham Khoat Than Mohammad Ghavamzadeh Stefano Ermon Hung Bui OffRL BDL 44 24 0 02 Mar 2020
PlaNet of the Bayesians: Reconsidering and Improving Deep Planning Network by Incorporating Bayesian Inference Masashi Okada Norio Kosaka T. Taniguchi 10 43 0 01 Mar 2020
Reinforcement Learning through Active Inference Alexander Tschantz Beren Millidge A. Seth Christopher L. Buckley AI4CE 33 69 0 28 Feb 2020
Plannable Approximations to MDP Homomorphisms: Equivariance under Actions Elise van der Pol Thomas Kipf F. Oliehoek Max Welling 25 77 0 27 Feb 2020
Disentangling Controllable Object through Video Prediction Improves Visual Reinforcement Learning Yuanyi Zhong Alex Schwing Jian Peng DRL 15 5 0 21 Feb 2020
Causally Correct Partial Models for Reinforcement Learning Danilo Jimenez Rezende Ivo Danihelka George Papamakarios Nan Rosemary Ke Ray Jiang ... Jane X. Wang Jovana Mitrović F. Besse Ioannis Antonoglou Lars Buesing AI4TS 26 32 0 07 Feb 2020
Ready Policy One: World Building Through Active Learning Philip J. Ball Jack Parker-Holder Aldo Pacchiano K. Choromanski Stephen J. Roberts OffRL 32 49 0 07 Feb 2020
Learning Predictive Models From Observation and Interaction Karl Schmeckpeper Annie Xie Oleh Rybkin Stephen Tian Kostas Daniilidis Sergey Levine Chelsea Finn DRL 33 60 0 30 Dec 2019
Variational Recurrent Models for Solving Partially Observable Control Tasks Dongqi Han Kenji Doya Jun Tani DRL OffRL 21 59 0 23 Dec 2019
Adversarial recovery of agent rewards from latent spaces of the limit order book Jacobo Roa-Vicens Yuanbo Wang Virgile Mison Y. Gal Ricardo M. A. Silva 23 3 0 09 Dec 2019
Reinforcement Learning-based Visual Navigation with Information-Theoretic Regularization Qiaoyun Wu Kai Xu Jun Wang Mingliang Xu Xiaoxi Gong Tianyi Zhou 19 30 0 09 Dec 2019
Combining Q-Learning and Search with Amortized Value Estimates Jessica B. Hamrick V. Bapst Alvaro Sanchez-Gonzalez Tobias Pfaff T. Weber Lars Buesing Peter W. Battaglia OffRL 29 47 0 05 Dec 2019
Scaling active inference Alexander Tschantz Manuel Baltieri A. Seth Christopher L. Buckley BDL AI4CE 19 68 0 24 Nov 2019
Learning Representations in Reinforcement Learning:An Information Bottleneck Approach Yingjun Pei Xinwen Hou SSL 39 10 0 12 Nov 2019
High Fidelity Video Prediction with Large Stochastic Recurrent Neural Networks Ruben Villegas Arkanath Pathak Harini Kannan D. Erhan Quoc V. Le Honglak Lee VGen 22 136 0 05 Nov 2019
Learning to Predict Without Looking Ahead: World Models Without Forward Prediction C. Freeman Luke Metz David R Ha 33 35 0 29 Oct 2019
Soft Actor-Critic for Discrete Action Settings Petros Christodoulou OffRL 104 292 0 16 Oct 2019
Imagined Value Gradients: Model-Based Policy Optimization with Transferable Latent Dynamics Models Arunkumar Byravan Jost Tobias Springenberg A. Abdolmaleki Roland Hafner Michael Neunert Thomas Lampe Noah Y. Siegel N. Heess Martin Riedmiller OffRL 17 41 0 09 Oct 2019