Papers citing 'Meta-Reinforcement Learning of Structured Exploration Strategies'

Title
Concept Discovery for Fast AdapatationSDM (SDM), 2023 Shengyu Feng Hanghang Tong OffRL 191 0 0 19 Jan 2023
Is Conditional Generative Modeling all you need for Decision-Making?International Conference on Learning Representations (ICLR), 2022 Anurag Ajay Yilun Du Abhi Gupta J. Tenenbaum Tommi Jaakkola Pulkit Agrawal DiffM 664 522 0 28 Nov 2022
Prototypical context-aware dynamics generalization for high-dimensional model-based reinforcement learning Junjie Wang Yao Mu Dong Li Qichao Zhang Dongbin Zhao Yuzheng Zhuang Ping Luo Bin Wang Jianye Hao OffRL 142 3 0 23 Nov 2022
Implicit Training of Energy Model for Structure Prediction Shiv Shankar Vihari Piratla 192 0 0 21 Nov 2022
Giving Feedback on Interactive Student Programs with Meta-ExplorationNeural Information Processing Systems (NeurIPS), 2022 Emmy Liu Moritz Stephan Allen Nie Chris Piech Emma Brunskill Chelsea Finn AI4Ed 247 7 0 16 Nov 2022
Build generally reusable agent-environment interaction models Jun Jin Hongming Zhang Jun Luo 115 0 0 13 Nov 2022
Knowing the Past to Predict the Future: Reinforcement Virtual Learning Peng Zhang Yawen Huang Bingzhang Hu Shizheng Wang Haoran Duan Noura Al Moubayed Yefeng Zheng Yang Long OffRL 152 1 0 02 Nov 2022
The Role of Exploration for Task Transfer in Reinforcement Learning Jonathan C. Balloch Julia Kim Jessica B. Langebrake Inman Mark O. Riedl OffRL 207 3 0 11 Oct 2022
Decomposed Mutual Information Optimization for Generalized Context in Meta-Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2022 Yao Mu Yuzheng Zhuang Fei Ni Sijin Yu Jianyu Chen Jianye Hao Ping Luo 92 2 0 09 Oct 2022
Winner Takes It All: Training Performant RL Populations for Combinatorial OptimizationNeural Information Processing Systems (NeurIPS), 2022 Nathan Grinsztajn Daniel Furelos-Blanco Shikha Surana Matthew Macfarlane Thomas D. Barrett 245 49 0 07 Oct 2022
Distributionally Adaptive Meta Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2022 Anurag Ajay Abhishek Gupta Dibya Ghosh Sergey Levine Pulkit Agrawal OOD 162 15 0 06 Oct 2022
Meta Reinforcement Learning for Optimal Design of Legged RobotsIEEE Robotics and Automation Letters (RA-L), 2022 Álvaro Belmonte-Baeza Joonho Lee Giorgio Valsecchi Marco Hutter 172 33 0 06 Oct 2022
Zero-Shot Policy Transfer with Disentangled Task Representation of Meta-Reinforcement LearningIEEE International Conference on Robotics and Automation (ICRA), 2022 Zheng Wu Yichen Xie Wenzhao Lian Changhao Wang Yanjiang Guo Jianyu Chen S. Schaal Masayoshi Tomizuka OffRL 242 12 0 01 Oct 2022
Enhanced Meta Reinforcement Learning using Demonstrations in Sparse Reward Environments Desik Rengarajan Sapana Chaudhary JaeWon Kim D. Kalathil S. Shakkottai OffRL 180 2 0 26 Sep 2022
Meta Reinforcement Learning with Successor Feature Based Context Xu Han Feng Wu OffRL LRM 155 3 0 29 Jul 2022
Provable Generalization of Overparameterized Meta-learning Trained with SGDNeural Information Processing Systems (NeurIPS), 2022 Yu Huang Yingbin Liang Longbo Huang MLT 277 13 0 18 Jun 2022
Transformers are Meta-Reinforcement LearnersInternational Conference on Machine Learning (ICML), 2022 Luckeciano C. Melo OffRL 201 62 0 14 Jun 2022
Fast Inference and Transfer of Compositional Task Structures for Few-shot Task GeneralizationConference on Uncertainty in Artificial Intelligence (UAI), 2022 Sungryull Sohn Hyunjae Woo Jongwook Choi lyubing qiang Izzeddin Gur Aleksandra Faust Honglak Lee BDL OffRL 222 3 0 25 May 2022
Skill-based Meta-Reinforcement LearningInternational Conference on Learning Representations (ICLR), 2022 Taewook Nam Shao-Hua Sun Karl Pertsch Sung Ju Hwang Joseph J. Lim OffRL 155 53 0 25 Apr 2022
Few-Shot Forecasting of Time-Series with Heterogeneous Channels L. Brinkmeyer Rafael Rêgo Drumond Johannes Burchert Lars Schmidt-Thieme AI4TS 191 12 0 07 Apr 2022
Model Based Meta Learning of Critics for Policy Gradients Sarah Bechtle Ludovic Righetti Franziska Meier OffRL 83 0 0 05 Apr 2022
The Sandbox Environment for Generalizable Agent Research (SEGAR) R. Devon Hjelm Bogdan Mazoure Florian Golemo Felipe Vieira Frujeri Mihai Jalobeanu Andrey Kolobov LLMAG LRM 134 2 0 19 Mar 2022
What Matters For Meta-Learning Vision Regression Tasks?Computer Vision and Pattern Recognition (CVPR), 2022 Ni Gao Hanna Ziesche Ngo Anh Vien Michael Volpp Gerhard Neumann VLM 133 29 0 09 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 262 12 0 01 Mar 2022
Meta-Reinforcement Learning with Self-Modifying NetworksNeural Information Processing Systems (NeurIPS), 2022 Mathieu Chalvidal Thomas Serre Rufin VanRullen KELM 205 7 0 04 Feb 2022
System-Agnostic Meta-Learning for MDP-based Dynamic Scheduling via Descriptive PolicyInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022 Hyunsung Lee 189 1 0 18 Jan 2022
A Theoretical Understanding of Gradient Bias in Meta-Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2021 Xidong Feng Bo Liu Jie Ren Luo Mai Rui Zhu Haifeng Zhang Jun Wang Yaodong Yang 222 12 0 31 Dec 2021
Unsupervised Reinforcement Learning in Multiple Environments Mirco Mutti Mattia Mancassola Marcello Restelli OffRL 124 27 0 16 Dec 2021
CoMPS: Continual Meta Policy Search Glen Berseth Zhiwei Zhang Grace Zhang Chelsea Finn Sergey Levine CLL OffRL 195 16 0 08 Dec 2021
Hindsight Task Relabelling: Experience Replay for Sparse Reward Meta-RL Charles Packer Pieter Abbeel Joseph E. Gonzalez OffRL 157 22 0 02 Dec 2021
Reinforcement Learning for Few-Shot Text Generation Adaptation Pengsen Cheng Jinqiao Dai Jiamiao Liu Jiayong Liu Peng Jia 348 5 0 22 Nov 2021
Robust Dynamic Bus Control: A Distributional Multi-agent Reinforcement Learning Approach Changyin Sun Lijun Sun 118 13 0 02 Nov 2021
One Step at a Time: Pros and Cons of Multi-Step Meta-Gradient Reinforcement Learning Matthew Macfarlane Paul Caron Thomas D. Barrett Ian Davies Alexandre Laterre 143 6 0 30 Oct 2021
Context Meta-Reinforcement Learning via NeuromodulationNeural Networks (NN), 2021 Eseoghene Ben-Iwhiwhu Jeffery Dick Nicholas A. Ketz Praveen K. Pilly Andrea Soltoggio OffRL 485 14 0 30 Oct 2021
GalilAI: Out-of-Task Distribution Detection using Causal Active Experimentation for Safe Transfer RLInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021 Sumedh Anand Sontakke Stephen Iota Zizhao Hu Arash Mehrjou Laurent Itti Bernhard Schölkopf OODD 180 3 0 29 Oct 2021
Wasserstein Unsupervised Reinforcement Learning Shuncheng He Yuhang Jiang Hongchang Zhang Jianzhun Shao Xiangyang Ji OffRL 219 28 0 15 Oct 2021
REIN-2: Giving Birth to Prepared Reinforcement Learning Agents Using Reinforcement Learning Agents A. Lazaridis I. Vlahavas OffRL 133 2 0 11 Oct 2021
Offline Meta-Reinforcement Learning for Industrial InsertionIEEE International Conference on Robotics and Automation (ICRA), 2021 Tony Zhao Jianlan Luo Oleg O. Sushkov Rugile Pevceviciute N. Heess Jonathan Scholz S. Schaal Sergey Levine OffRL OnRL 261 88 0 08 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 262 85 0 28 Sep 2021
Hindsight Foresight Relabeling for Meta-Reinforcement Learning Michael Wan Jian-wei Peng Tanmay Gangwani 173 7 0 18 Sep 2021
Knowledge is reward: Learning optimal exploration by predictive reward cashing Luca Ambrogioni 90 1 0 17 Sep 2021
A Survey of Exploration Methods in Reinforcement Learning Susan Amin Maziar Gomrokchi Harsh Satija H. V. Hoof Doina Precup OffRL 287 99 0 01 Sep 2021
Improved Robustness and Safety for Pre-Adaptation of Meta Reinforcement Learning with Prior Regularization Lu Wen Songan Zhang H. E. Tseng Baljeet Singh Dimitar Filev H. Peng OffRL OnRL 158 1 0 19 Aug 2021
Deep Reinforcement Learning for Demand Driven Services in Logistics and Transportation Systems: A SurveyACM Transactions on Knowledge Discovery from Data (TKDD), 2021 Zefang Zong Tao Feng Tong Xia Depeng Jin Yong Li 220 6 0 10 Aug 2021
Meta-Reinforcement Learning in Broad and Non-Parametric EnvironmentsIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021 Zhenshan Bing Lukas Knak F. O. Morin Kai-Qi Huang Alois C. Knoll OffRL 165 24 0 08 Aug 2021
Offline Meta-Reinforcement Learning with Online Self-SupervisionInternational Conference on Machine Learning (ICML), 2021 Vitchyr H. Pong Ashvin Nair Laura M. Smith Catherine Huang Sergey Levine OffRL 360 75 0 08 Jul 2021
Meta-Reinforcement Learning for Heuristic Planning Ricardo Luna Gutierrez Matteo Leonetti OffRL AIFin 132 4 0 06 Jul 2021
Meta-Adaptive Nonlinear Control: Theory and AlgorithmsNeural Information Processing Systems (NeurIPS), 2021 Guanya Shi Kamyar Azizzadenesheli Michael O'Connell Soon-Jo Chung Yisong Yue 330 47 0 11 Jun 2021
Quickest change detection with unknown parameters: Constant complexity and near optimality Firas Jarboui Vianney Perchet 99 0 0 09 Jun 2021
Improving Generalization in Meta-RL with Imaginary Tasks from Latent Dynamics MixtureNeural Information Processing Systems (NeurIPS), 2021 Suyoung Lee Sae-Young Chung OffRL AI4CE 190 20 0 28 May 2021