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Learning to reinforcement learn

17 November 2016

Papers citing "Learning to reinforcement learn"

50 / 584 papers shown

Title
On the link between conscious function and general intelligence in humans and machines Arthur Juliani Kai Arulkumaran Shuntaro Sasai Ryota Kanai 105 26 0 24 Mar 2022
Meta-Reinforcement Learning for the Tuning of PI Controllers: An Offline Approach Daniel G. McClement Nathan P. Lawrence Johan U. Backstrom Philip D. Loewen M. Forbes R. Bhushan Gopaluni OffRL 64 25 0 17 Mar 2022
Multi-Agent Policy Transfer via Task Relationship Modeling Rongjun Qin F. Chen Tonghan Wang Lei Yuan Xiaoran Wu Zongzhang Zhang Chongjie Zhang Yang Yu 103 20 0 09 Mar 2022
AutoDIME: Automatic Design of Interesting Multi-Agent Environments I. Kanitscheider Harrison Edwards 58 0 0 04 Mar 2022
Learning Robust Real-Time Cultural Transmission without Human Data Cultural General Intelligence Team Avishkar Bhoopchand Bethanie Brownfield Adrian Collister Agustin Dal Lago ... Alex Platonov Evan Senter Sukhdeep Singh Alexander Zacherl Lei M. Zhang VLM 125 11 0 01 Mar 2022
Sequential asset ranking in nonstationary time series Gabriel Borrageiro AI4TS 35 3 0 24 Feb 2022
All You Need Is Supervised Learning: From Imitation Learning to Meta-RL With Upside Down RL Kai Arulkumaran Dylan R. Ashley Jürgen Schmidhuber R. Srivastava OffRL 105 7 0 24 Feb 2022
Robust Policy Learning over Multiple Uncertainty Sets Annie Xie Shagun Sodhani Chelsea Finn Joelle Pineau Amy Zhang OOD OffRL 94 19 0 14 Feb 2022
A Modern Self-Referential Weight Matrix That Learns to Modify Itself Kazuki Irie Imanol Schlag Róbert Csordás Jürgen Schmidhuber 50 28 0 11 Feb 2022
Contextualize Me -- The Case for Context in Reinforcement Learning C. Benjamins Theresa Eimer Frederik Schubert Aditya Mohan Sebastian Dohler André Biedenkapp Bodo Rosenhahn Frank Hutter Marius Lindauer OffRL 104 32 0 09 Feb 2022
Meta-Reinforcement Learning with Self-Modifying Networks Mathieu Chalvidal Thomas Serre Rufin VanRullen KELM 87 5 0 04 Feb 2022
Modeling Human Exploration Through Resource-Rational Reinforcement Learning Marcel Binz Eric Schulz 84 15 0 27 Jan 2022
System-Agnostic Meta-Learning for MDP-based Dynamic Scheduling via Descriptive Policy Hyunsung Lee 62 1 0 18 Jan 2022
Automated Reinforcement Learning: An Overview Reza Refaei Afshar Yingqian Zhang Joaquin Vanschoren U. Kaymak OffRL 165 16 0 13 Jan 2022
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems Jack Parker-Holder Raghunandan Rajan Xingyou Song André Biedenkapp Yingjie Miao ... Vu-Linh Nguyen Roberto Calandra Aleksandra Faust Frank Hutter Marius Lindauer AI4CE 116 107 0 11 Jan 2022
A Theoretical Understanding of Gradient Bias in Meta-Reinforcement Learning Xidong Feng Bo Liu Jie Ren Luo Mai Rui Zhu Haifeng Zhang Jun Wang Yaodong Yang 98 12 0 31 Dec 2021
Graph augmented Deep Reinforcement Learning in the GameRLand3D environment E. Beeching Maxim Peter Philippe Marcotte Jilles Debangoye Olivier Simonin Joshua Romoff Christian Wolf 91 5 0 22 Dec 2021
Automated Deep Learning: Neural Architecture Search Is Not the End Xuanyi Dong D. Kedziora Katarzyna Musial Bogdan Gabrys 126 27 0 16 Dec 2021
Learning to acquire novel cognitive tasks with evolution, plasticity and meta-meta-learning Thomas Miconi 116 6 0 16 Dec 2021
Integrated Guidance and Control for Lunar Landing using a Stabilized Seeker B. Gaudet R. Furfaro 33 5 0 16 Dec 2021
Biased Gradient Estimate with Drastic Variance Reduction for Meta Reinforcement Learning Yunhao Tang 68 7 0 14 Dec 2021
CoMPS: Continual Meta Policy Search Glen Berseth Zhiwei Zhang Grace Zhang Chelsea Finn Sergey Levine CLL OffRL 94 15 0 08 Dec 2021
Godot Reinforcement Learning Agents E. Beeching Jilles Debangoye Olivier Simonin Christian Wolf GP OnRL 54 5 0 07 Dec 2021
MESA: Offline Meta-RL for Safe Adaptation and Fault Tolerance Michael Luo Ashwin Balakrishna Brijen Thananjeyan Suraj Nair Julian Ibarz Jie Tan Chelsea Finn Ion Stoica Ken Goldberg OffRL 73 4 0 07 Dec 2021
Hindsight Task Relabelling: Experience Replay for Sparse Reward Meta-RL Charles Packer Pieter Abbeel Joseph E. Gonzalez OffRL 71 17 0 02 Dec 2021
On the Practical Consistency of Meta-Reinforcement Learning Algorithms Zheng Xiong L. Zintgraf Jacob Beck Risto Vuorio Shimon Whiteson CLL AIFin 84 9 0 01 Dec 2021
Generalized Decision Transformer for Offline Hindsight Information Matching Hiroki Furuta Y. Matsuo S. Gu OffRL 116 104 0 19 Nov 2021
A Survey of Zero-shot Generalisation in Deep Reinforcement Learning Robert Kirk Amy Zhang Edward Grefenstette Tim Rocktaschel OffRL 109 173 0 18 Nov 2021
Learning to Cooperate with Unseen Agent via Meta-Reinforcement Learning Rujikorn Charakorn P. Manoonpong Nat Dilokthanakul 85 5 0 05 Nov 2021
Generalization in Dexterous Manipulation via Geometry-Aware Multi-Task Learning Wenlong Huang Igor Mordatch Pieter Abbeel Deepak Pathak 136 64 0 04 Nov 2021
Model-Free Risk-Sensitive Reinforcement Learning Grégoire Delétang Jordi Grau-Moya M. Kunesch Tim Genewein Rob Brekelmans Shane Legg Pedro A. Ortega OOD 84 10 0 04 Nov 2021
Procedural Generalization by Planning with Self-Supervised World Models Ankesh Anand Jacob Walker Yazhe Li Eszter Vértes Julian Schrittwieser Sherjil Ozair T. Weber Jessica B. Hamrick 89 31 0 02 Nov 2021
Robot Learning from Randomized Simulations: A Review Fabio Muratore Fabio Ramos Greg Turk Wenhao Yu Michael Gienger Jan Peters AI4CE 119 83 0 01 Nov 2021
Context Meta-Reinforcement Learning via Neuromodulation Eseoghene Ben-Iwhiwhu Jeffery Dick Nicholas A. Ketz Praveen K. Pilly Andrea Soltoggio OffRL 120 13 0 30 Oct 2021
A Metalearning Approach for Physics-Informed Neural Networks (PINNs): Application to Parameterized PDEs Michael Penwarden Shandian Zhe A. Narayan Robert M. Kirby PINN AI4CE 109 45 0 26 Oct 2021
Shaking the foundations: delusions in sequence models for interaction and control Pedro A. Ortega M. Kunesch Grégoire Delétang Tim Genewein Jordi Grau-Moya ... Yutian Chen Scott E. Reed Marcus Hutter Nando de Freitas Shane Legg 91 64 0 20 Oct 2021
Meta-Learning with Adjoint Methods Shibo Li Zheng Wang A. Narayan Robert M. Kirby Shandian Zhe 69 4 0 16 Oct 2021
Omni-Training: Bridging Pre-Training and Meta-Training for Few-Shot Learning Yang Shu Zhangjie Cao Jing Gao Jianmin Wang Philip S. Yu Mingsheng Long 111 11 0 14 Oct 2021
REIN-2: Giving Birth to Prepared Reinforcement Learning Agents Using Reinforcement Learning Agents A. Lazaridis I. Vlahavas OffRL 60 2 0 11 Oct 2021
Recurrent Model-Free RL Can Be a Strong Baseline for Many POMDPs Tianwei Ni Benjamin Eysenbach Ruslan Salakhutdinov 83 110 0 11 Oct 2021
The Information Geometry of Unsupervised Reinforcement Learning Benjamin Eysenbach Ruslan Salakhutdinov Sergey Levine SSL OffRL 118 35 0 06 Oct 2021
CARL: A Benchmark for Contextual and Adaptive Reinforcement Learning C. Benjamins Theresa Eimer Frederik Schubert André Biedenkapp Bodo Rosenhahn Frank Hutter Marius Lindauer OffRL 94 23 0 05 Oct 2021
Learning to Assist Agents by Observing Them Antti Keurulainen Isak Westerlund Samuel Kaski Alexander Ilin 37 0 0 04 Oct 2021
Behaviour-conditioned policies for cooperative reinforcement learning tasks Antti Keurulainen Isak Westerlund Ariel Kwiatkowski Samuel Kaski Alexander Ilin 29 0 0 04 Oct 2021
Terminal Adaptive Guidance for Autonomous Hypersonic Strike Weapons via Reinforcement Learning B. Gaudet R. Furfaro 37 15 0 01 Oct 2021
Deep Reinforcement Learning Versus Evolution Strategies: A Comparative Survey Amjad Yousef Majid Serge Saaybi Tomas van Rietbergen Vincent François-Lavet R. V. Prasad Chris Verhoeven OffRL 135 60 0 28 Sep 2021
Introducing Symmetries to Black Box Meta Reinforcement Learning Louis Kirsch Sebastian Flennerhag Hado van Hasselt A. Friesen Junhyuk Oh Yutian Chen 88 32 0 22 Sep 2021
Lifelong Robotic Reinforcement Learning by Retaining Experiences Annie Xie Chelsea Finn OffRL CLL 160 48 0 19 Sep 2021
Hindsight Foresight Relabeling for Meta-Reinforcement Learning Michael Wan Jian-wei Peng Tanmay Gangwani 109 6 0 18 Sep 2021
Knowledge is reward: Learning optimal exploration by predictive reward cashing L. Ambrogioni 31 0 0 17 Sep 2021