Title
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Multi-Task Learning with Deep Neural Networks: A Survey M. Crawshaw CVBM 48 609 0 10 Sep 2020
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Single-Timescale Actor-Critic Provably Finds Globally Optimal Policy Zuyue Fu Zhuoran Yang Zhaoran Wang 15 42 0 02 Aug 2020
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Probabilistic Active Meta-Learning Jean Kaddour Steindór Sæmundsson M. Deisenroth 27 34 0 17 Jul 2020
One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control Wenlong Huang Igor Mordatch Deepak Pathak 51 164 0 09 Jul 2020
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Information Theoretic Regret Bounds for Online Nonlinear Control Sham Kakade A. Krishnamurthy Kendall Lowrey Motoya Ohnishi Wen Sun 31 117 0 22 Jun 2020
Automatic Curriculum Learning through Value Disagreement Yunzhi Zhang Pieter Abbeel Lerrel Pinto 35 103 0 17 Jun 2020
What Matters In On-Policy Reinforcement Learning? A Large-Scale Empirical Study Marcin Andrychowicz Anton Raichuk Piotr Stańczyk Manu Orsini Sertan Girgin ... M. Geist Olivier Pietquin Marcin Michalski Sylvain Gelly Olivier Bachem OffRL 31 213 0 10 Jun 2020
LEAF: Latent Exploration Along the Frontier Homanga Bharadhwaj Animesh Garg Florian Shkurti 29 1 0 21 May 2020
Reinforcement Learning with General Value Function Approximation: Provably Efficient Approach via Bounded Eluder Dimension Ruosong Wang Ruslan Salakhutdinov Lin F. Yang 23 55 0 21 May 2020
Novel Policy Seeking with Constrained Optimization Hao Sun Zhenghao Peng Bo Dai Jian Guo Dahua Lin Bolei Zhou 24 13 0 21 May 2020
Automating Turbulence Modeling by Multi-Agent Reinforcement Learning G. Novati Hugues Lascombes de Laroussilhe Petros Koumoutsakos AI4CE 31 15 0 18 May 2020
Never Stop Learning: The Effectiveness of Fine-Tuning in Robotic Reinforcement Learning Ryan Julian Benjamin Swanson Gaurav Sukhatme Sergey Levine Chelsea Finn Karol Hausman OnRL CLL 33 43 0 21 Apr 2020
State-Only Imitation Learning for Dexterous Manipulation Ilija Radosavovic Xiaolong Wang Lerrel Pinto Jitendra Malik OffRL 19 121 0 07 Apr 2020
Learning to Fly via Deep Model-Based Reinforcement Learning Philip Becker-Ehmck Maximilian Karl Jan Peters Patrick van der Smagt SSL 35 37 0 19 Mar 2020
Automatic Curriculum Learning For Deep RL: A Short Survey Rémy Portelas Cédric Colas Lilian Weng Katja Hofmann Pierre-Yves Oudeyer ODL 19 167 0 10 Mar 2020
Traversing the Reality Gap via Simulator Tuning J. Collins Ross Brown Jurgen Leitner David Howard 36 14 0 03 Mar 2020
Learning to Walk in the Real World with Minimal Human Effort Sehoon Ha P. Xu Zhenyu Tan Sergey Levine Jie Tan 27 169 0 20 Feb 2020
The Next Decade in AI: Four Steps Towards Robust Artificial Intelligence G. Marcus VLM 32 353 0 14 Feb 2020
Learning Functionally Decomposed Hierarchies for Continuous Control Tasks with Path Planning Sammy Christen Lukás Jendele Emre Aksan Otmar Hilliges OffRL 27 25 0 14 Feb 2020
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Attention-Privileged Reinforcement Learning Sasha Salter Dushyant Rao Markus Wulfmeier R. Hadsell Ingmar Posner 23 8 0 19 Nov 2019
Deep Dynamics Models for Learning Dexterous Manipulation Anusha Nagabandi K. Konolige Sergey Levine Vikash Kumar 157 408 0 25 Sep 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 383 11,700 0 09 Mar 2017
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