Title
Will we ever have Conscious Machines? P. Krauss Andreas Maier 79 30 0 31 Mar 2020
Importance of using appropriate baselines for evaluation of data-efficiency in deep reinforcement learning for Atari Kacper Kielak OffRL 51 8 0 23 Mar 2020
Neuroevolution of Self-Interpretable Agents Yujin Tang Duong Nguyen David R Ha 127 113 0 18 Mar 2020
Active Perception and Representation for Robotic Manipulation Youssef Y. Zaky Gaurav Paruthi B. Tripp James Bergstra 86 16 0 15 Mar 2020
An Adversarial Objective for Scalable Exploration Bernadette Bucher Karl Schmeckpeper Nikolai Matni Kostas Daniilidis 65 2 0 13 Mar 2020
Learning Predictive Representations for Deformable Objects Using Contrastive Estimation Wilson Yan Ashwin Vangipuram Pieter Abbeel Lerrel Pinto 108 191 0 11 Mar 2020
Relevance-Guided Modeling of Object Dynamics for Reinforcement Learning William Agnew Pedro M. Domingos OffRL 95 3 0 03 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 104 25 0 02 Mar 2020
PlaNet of the Bayesians: Reconsidering and Improving Deep Planning Network by Incorporating Bayesian Inference Masashi Okada Norio Kosaka T. Taniguchi 68 43 0 01 Mar 2020
Contextual Policy Transfer in Reinforcement Learning Domains via Deep Mixtures-of-Experts Michael Gimelfarb Scott Sanner Chi-Guhn Lee 42 1 0 29 Feb 2020
Reinforcement Learning through Active Inference Alexander Tschantz Beren Millidge A. Seth Christopher L. Buckley AI4CE 88 72 0 28 Feb 2020
Hallucinative Topological Memory for Zero-Shot Visual Planning Kara Liu Thanard Kurutach Christine Tung Pieter Abbeel Aviv Tamar 89 48 0 27 Feb 2020
Plannable Approximations to MDP Homomorphisms: Equivariance under Actions Elise van der Pol Thomas Kipf F. Oliehoek Max Welling 81 80 0 27 Feb 2020
Disentangling Controllable Object through Video Prediction Improves Visual Reinforcement Learning Yuanyi Zhong Alex Schwing Jian Peng DRL 121 5 0 21 Feb 2020
Frequency-based Search-control in Dyna Yangchen Pan Jincheng Mei Amir-massoud Farahmand 51 15 0 14 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 113 34 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 99 49 0 07 Feb 2020
Neuro-evolutionary Frameworks for Generalized Learning Agents Thommen George Karimpanal 22 1 0 04 Feb 2020
SEERL: Sample Efficient Ensemble Reinforcement Learning Rohan Saphal Balaraman Ravindran Dheevatsa Mudigere Sasikanth Avancha Bharat Kaul 65 19 0 15 Jan 2020
A Probabilistic Simulator of Spatial Demand for Product Allocation Porter Jenkins Hua Wei J. S. Jenkins Z. Li 23 6 0 09 Jan 2020
Learning Predictive Models From Observation and Interaction Karl Schmeckpeper Annie Xie Oleh Rybkin Stephen Tian Kostas Daniilidis Sergey Levine Chelsea Finn DRL 91 60 0 30 Dec 2019
Variational Recurrent Models for Solving Partially Observable Control Tasks Dongqi Han Kenji Doya Jun Tani DRL OffRL 72 63 0 23 Dec 2019
Uncertainty-sensitive Learning and Planning with Ensembles Piotr Milo's Lukasz Kuciñski K. Czechowski Piotr Kozakowski Maciek Klimek OffRL 95 8 0 19 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 51 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 87 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 87 48 0 05 Dec 2019
Learning Human Objectives by Evaluating Hypothetical Behavior S. Reddy Anca Dragan Sergey Levine Shane Legg Jan Leike 87 77 0 05 Dec 2019
Dream to Control: Learning Behaviors by Latent Imagination Danijar Hafner Timothy Lillicrap Jimmy Ba Mohammad Norouzi VLM 232 1,378 0 03 Dec 2019
Simulation-based reinforcement learning for real-world autonomous driving B. Osinski Adam Jakubowski Piotr Milos Pawel Ziecina Christopher Galias S. Homoceanu Henryk Michalewski 112 122 0 29 Nov 2019
Contrastive Learning of Structured World Models Thomas Kipf Elise van der Pol Max Welling OCL DRL 140 285 0 27 Nov 2019
Biologically inspired architectures for sample-efficient deep reinforcement learning Pierre Harvey Richemond Arinbjorn Kolbeinsson Yike Guo 59 2 0 25 Nov 2019
Scaling active inference Alexander Tschantz Manuel Baltieri A. Seth Christopher L. Buckley BDL AI4CE 73 69 0 24 Nov 2019
Planning with Goal-Conditioned Policies Soroush Nasiriany Vitchyr H. Pong Steven Lin Sergey Levine OffRL 163 219 0 19 Nov 2019
Learning Representations in Reinforcement Learning:An Information Bottleneck Approach Yingjun Pei Xinwen Hou SSL 76 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 80 139 0 05 Nov 2019
Learning to Predict Without Looking Ahead: World Models Without Forward Prediction C. Freeman Luke Metz David R Ha 89 36 0 29 Oct 2019
Robust Model Predictive Shielding for Safe Reinforcement Learning with Stochastic Dynamics Shuo Li Osbert Bastani 77 86 0 24 Oct 2019
Zero-shot Policy Learning with Spatial Temporal RewardDecomposition on Contingency-aware Observation Huazhe Xu Boyuan Chen Yang Gao Trevor Darrell OffRL 37 2 0 17 Oct 2019
Soft Actor-Critic for Discrete Action Settings Petros Christodoulou OffRL 168 305 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 88 41 0 09 Oct 2019
Model-based Reinforcement Learning for Predictions and Control for Limit Order Books Haoran Wei Yuanbo Wang L. Mangu Keith S. Decker 67 25 0 09 Oct 2019
Reinforcement Learning with Structured Hierarchical Grammar Representations of Actions Petros Christodoulou R. T. Lange A. Shafti A. Faisal 67 1 0 07 Oct 2019
Structured Object-Aware Physics Prediction for Video Modeling and Planning Jannik Kossen Karl Stelzner Marcel Hussing C. Voelcker Kristian Kersting OCL 113 70 0 06 Oct 2019
Making sense of sensory input Maciej Wołczyk Jacek Tabor Johannes Welbl Szymon Maszke Marek Sergot 92 53 0 05 Oct 2019
Zero Shot Learning on Simulated Robots Robert Kwiatkowski Hod Lipson 46 0 0 04 Oct 2019
Mathematical Reasoning in Latent Space Dennis Lee Christian Szegedy M. Rabe Sarah M. Loos Kshitij Bansal 83 34 0 26 Sep 2019
Off-Policy Actor-Critic with Shared Experience Replay Simon Schmitt Matteo Hessel Karen Simonyan OffRL 80 68 0 25 Sep 2019
Gradient-Aware Model-based Policy Search P. DÓro Alberto Maria Metelli Andrea Tirinzoni Matteo Papini Marcello Restelli 93 36 0 09 Sep 2019
Prediction, Consistency, Curvature: Representation Learning for Locally-Linear Control Nir Levine Yinlam Chow Rui Shu Ang Li Mohammad Ghavamzadeh Hung Bui 67 30 0 04 Sep 2019
Reusing Convolutional Activations from Frame to Frame to Speed up Training and Inference Arno Khachatourian 28 0 0 02 Sep 2019