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Learning to reinforcement learn

17 November 2016

Papers citing "Learning to reinforcement learn"

50 / 584 papers shown

Title
The Faults in Our Pi Stars: Security Issues and Open Challenges in Deep Reinforcement Learning Vahid Behzadan Arslan Munir 88 27 0 23 Oct 2018
How to train your MAML Antreas Antoniou Harrison Edwards Amos Storkey 99 781 0 22 Oct 2018
Deep Reinforcement Learning Yuxi Li VLM OffRL 194 144 0 15 Oct 2018
A Data-Efficient Framework for Training and Sim-to-Real Transfer of Navigation Policies Homanga Bharadhwaj Zihan Wang Yoshua Bengio Liam Paull 79 40 0 11 Oct 2018
Meta-Learning: A Survey Joaquin Vanschoren FedML OOD 123 761 0 08 Oct 2018
AutoLoss: Learning Discrete Schedules for Alternate Optimization Haowen Xu Huatian Zhang Zhiting Hu Xiaodan Liang Ruslan Salakhutdinov Eric Xing 83 30 0 04 Oct 2018
CEM-RL: Combining evolutionary and gradient-based methods for policy search Aloïs Pourchot Olivier Sigaud 114 161 0 02 Oct 2018
Interactive Agent Modeling by Learning to Probe Tianmin Shu Caiming Xiong Ying Nian Wu Song-Chun Zhu LM&Ro 53 2 0 01 Oct 2018
Few-Shot Goal Inference for Visuomotor Learning and Planning Annie Xie Avi Singh Sergey Levine Chelsea Finn OffRL 106 70 0 30 Sep 2018
Bayesian Transfer Reinforcement Learning with Prior Knowledge Rules Michalis K. Titsias Sotirios Nikoloutsopoulos BDL OffRL 22 3 0 30 Sep 2018
M $^3$ RL: Mind-aware Multi-agent Management Reinforcement Learning Tianmin Shu Yuandong Tian 92 54 0 29 Sep 2018
Learning Navigation Behaviors End-to-End with AutoRL H. Chiang Aleksandra Faust Marek Fiser Anthony G. Francis 129 235 0 26 Sep 2018
Model-Based Reinforcement Learning via Meta-Policy Optimization I. Clavera Jonas Rothfuss John Schulman Yasuhiro Fujita Tamim Asfour Pieter Abbeel 83 228 0 14 Sep 2018
Unity: A General Platform for Intelligent Agents Arthur Juliani Vincent-Pierre Berges Esh Vckay Andrew Cohen Jonathan Harper ... Chris Goy Yuan Gao Hunter Henry Marwan Mattar Danny Lange 96 822 0 07 Sep 2018
Small Sample Learning in Big Data Era Jun Shu Zongben Xu Deyu Meng 110 72 0 14 Aug 2018
One-Shot Generation of Near-Optimal Topology through Theory-Driven Machine Learning Ruijin Cang Hope Yao Yi Ren 42 0 0 27 Jul 2018
Meta-learning autoencoders for few-shot prediction Tailin Wu J. Peurifoy Isaac L. Chuang Max Tegmark 47 22 0 26 Jul 2018
Learning Plannable Representations with Causal InfoGAN Thanard Kurutach Aviv Tamar Ge Yang Stuart J. Russell Pieter Abbeel GAN DRL 82 181 0 24 Jul 2018
Genetic algorithms with DNN-based trainable crossover as an example of partial specialization of general search A. Potapov S. Rodionov 23 5 0 18 Jul 2018
A survey on policy search algorithms for learning robot controllers in a handful of trials Konstantinos Chatzilygeroudis Vassilis Vassiliades F. Stulp Sylvain Calinon Jean-Baptiste Mouret 103 155 0 06 Jul 2018
Neural Processes M. Garnelo Jonathan Richard Schwarz Dan Rosenbaum Fabio Viola Danilo Jimenez Rezende S. M. Ali Eslami Yee Whye Teh BDL UQCV GP 138 517 0 04 Jul 2018
Conditional Neural Processes M. Garnelo Dan Rosenbaum Chris J. Maddison Tiago Ramalho D. Saxton Murray Shanahan Yee Whye Teh Danilo Jimenez Rezende S. M. Ali Eslami UQCV BDL 94 708 0 04 Jul 2018
Attention-based Few-Shot Person Re-identification Using Meta Learning Alireza Rahimpour Hairong Qi 50 5 0 24 Jun 2018
On Machine Learning and Structure for Mobile Robots Markus Wulfmeier 49 6 0 15 Jun 2018
Unsupervised Meta-Learning for Reinforcement Learning Abhishek Gupta Benjamin Eysenbach Chelsea Finn Sergey Levine SSL OffRL 138 107 0 12 Jun 2018
Meta-Learning for Stochastic Gradient MCMC Wenbo Gong Yingzhen Li José Miguel Hernández-Lobato BDL 115 44 0 12 Jun 2018
Auto-Meta: Automated Gradient Based Meta Learner Search Jaehong Kim Sangyeul Lee Sungwan Kim Moonsu Cha Jung Kwon Lee Youngduck Choi Yongseok Choi Dong-Yeon Cho Jiwon Kim AI4CE 73 39 0 11 Jun 2018
Meta-Learning by the Baldwin Effect Chrisantha Fernando Jakub Sygnowski Simon Osindero Jane X. Wang Tom Schaul Denis Teplyashin Pablo Sprechmann Alexander Pritzel Andrei A. Rusu 87 39 0 06 Jun 2018
Relational inductive biases, deep learning, and graph networks Peter W. Battaglia Jessica B. Hamrick V. Bapst Alvaro Sanchez-Gonzalez V. Zambaldi ... Pushmeet Kohli M. Botvinick Oriol Vinyals Yujia Li Razvan Pascanu AI4CE NAI 893 3,132 0 04 Jun 2018
Learning a Prior over Intent via Meta-Inverse Reinforcement Learning Kelvin Xu Ellis Ratner Anca Dragan Sergey Levine Chelsea Finn 128 65 0 31 May 2018
Meta-Gradient Reinforcement Learning Zhongwen Xu H. V. Hasselt David Silver 121 327 0 24 May 2018
Been There, Done That: Meta-Learning with Episodic Recall Samuel Ritter Jane X. Wang Z. Kurth-Nelson Siddhant M. Jayakumar Charles Blundell Razvan Pascanu M. Botvinick CLL 74 84 0 24 May 2018
Meta-Learning with Hessian-Free Approach in Deep Neural Nets Training Boyu Chen Wenlian Lu Ernest Fokoue 52 1 0 22 May 2018
Guided Feature Transformation (GFT): A Neural Language Grounding Module for Embodied Agents Haonan Yu Xiaochen Lian Haichao Zhang Wenyuan Xu LM&Ro 65 21 0 22 May 2018
Unsupervised Learning of Neural Networks to Explain Neural Networks Quanshi Zhang Yu Yang Yuchen Liu Ying Nian Wu Song-Chun Zhu FAtt SSL 72 27 0 18 May 2018
General solutions for nonlinear differential equations: a rule-based self-learning approach using deep reinforcement learning Shiyin Wei Xiaowei Jin Hui Li AI4CE 75 40 0 13 May 2018
Towards Autonomous Reinforcement Learning: Automatic Setting of Hyper-parameters using Bayesian Optimization Juan Cruz Barsce J. Palombarini E. Martínez GP 69 33 0 12 May 2018
Decoupling Dynamics and Reward for Transfer Learning Amy Zhang Harsh Satija Joelle Pineau OOD 87 72 0 27 Apr 2018
Network Transplanting Quanshi Zhang Yu Yang Ying Nian Wu Song-Chun Zhu OOD 49 5 0 26 Apr 2018
On Learning Intrinsic Rewards for Policy Gradient Methods Zeyu Zheng Junhyuk Oh Satinder Singh 77 210 0 17 Apr 2018
Learning How to Self-Learn: Enhancing Self-Training Using Neural Reinforcement Learning Chenhua Chen Yue Zhang SSL 73 11 0 16 Apr 2018
Differentiable plasticity: training plastic neural networks with backpropagation Thomas Miconi Jeff Clune Kenneth O. Stanley AI4CE 90 154 0 06 Apr 2018
StarCraft Micromanagement with Reinforcement Learning and Curriculum Transfer Learning Kun Shao Yuanheng Zhu Dongbin Zhao 145 171 0 03 Apr 2018
Learning to Adapt in Dynamic, Real-World Environments Through Meta-Reinforcement Learning Anusha Nagabandi I. Clavera Simin Liu R. Fearing Pieter Abbeel Sergey Levine Chelsea Finn 202 556 0 30 Mar 2018
Unsupervised Predictive Memory in a Goal-Directed Agent Greg Wayne Chia-Chun Hung David Amos M. Berk Mirza Arun Ahuja ... David Silver Koray Kavukcuoglu M. Botvinick Demis Hassabis Timothy Lillicrap 98 192 0 28 Mar 2018
Long short-term memory and learning-to-learn in networks of spiking neurons G. Bellec Darjan Salaj Anand Subramoney Robert Legenstein Wolfgang Maass 180 491 0 26 Mar 2018
Automated Curriculum Learning by Rewarding Temporally Rare Events Niels Justesen S. Risi OffRL 69 20 0 19 Mar 2018
Learning to Explore with Meta-Policy Gradient Tianbing Xu Qiang Liu Liang Zhao Jian Peng 74 54 0 13 Mar 2018
Policy Search in Continuous Action Domains: an Overview Olivier Sigaud F. Stulp 131 73 0 13 Mar 2018
Neural Conditional Gradients P. Schramowski Christian Bauckhage Kristian Kersting 62 2 0 12 Mar 2018