A Survey of Meta-Reinforcement Learning

19 January 2023

Papers citing "A Survey of Meta-Reinforcement Learning"

36 / 86 papers shown

Title
Efficient Sparse-Reward Goal-Conditioned Reinforcement Learning with a High Replay Ratio and Regularization Takuya Hiraoka OffRL 22 1 0 10 Dec 2023
Evolving Reservoirs for Meta Reinforcement Learning Corentin Léger Gautier Hamon Eleni Nisioti X. Hinaut Clément Moulin-Frier 13 1 0 09 Dec 2023
On Task-Relevant Loss Functions in Meta-Reinforcement Learning and Online LQR Jaeuk Shin Giho Kim Howon Lee Joonho Han Insoon Yang OffRL 18 1 0 09 Dec 2023
Generalization to New Sequential Decision Making Tasks with In-Context Learning Sharath Chandra Raparthy Eric Hambro Robert Kirk Mikael Henaff Roberta Raileanu OffRL 100 20 0 06 Dec 2023
C-Procgen: Empowering Procgen with Controllable Contexts Zhenxiong Tan Kaixin Wang Xinchao Wang 15 0 0 13 Nov 2023
Diffusion Models for Reinforcement Learning: A Survey Zhengbang Zhu Hanye Zhao Haoran He Yichao Zhong Shenyu Zhang Haoquan Guo Tingting Chen Weinan Zhang 27 58 0 02 Nov 2023
Improving Intrinsic Exploration by Creating Stationary Objectives Roger Creus Castanyer Javier Civera Taihú Pire OffRL 19 3 0 27 Oct 2023
Dynamics Generalisation in Reinforcement Learning via Adaptive Context-Aware Policies Michael Beukman Devon Jarvis Richard Klein Steven D. James Benjamin Rosman 17 10 0 25 Oct 2023
An Automatic Learning Rate Schedule Algorithm for Achieving Faster Convergence and Steeper Descent Zhao-quan Song Chiwun Yang 19 9 0 17 Oct 2023
AMAGO: Scalable In-Context Reinforcement Learning for Adaptive Agents Jake Grigsby Linxi Fan Yuke Zhu OffRL LM&Ro 22 10 0 15 Oct 2023
A Unified View on Solving Objective Mismatch in Model-Based Reinforcement Learning Ran Wei Nathan Lambert Anthony D. McDonald Alfredo Garcia Roberto Calandra 23 6 0 10 Oct 2023
AURO: Reinforcement Learning for Adaptive User Retention Optimization in Recommender Systems Zhenghai Xue Qingpeng Cai Tianyou Zuo Bin Yang Lantao Hu Peng Jiang Kun Gai 23 1 0 06 Oct 2023
Discovering General Reinforcement Learning Algorithms with Adversarial Environment Design Matthew Jackson Minqi Jiang Jack Parker-Holder Risto Vuorio Chris Xiaoxuan Lu Gregory Farquhar Shimon Whiteson Jakob N. Foerster OOD 11 9 0 04 Oct 2023
Recurrent Hypernetworks are Surprisingly Strong in Meta-RL Jacob Beck Risto Vuorio Zheng Xiong Shimon Whiteson 19 9 0 26 Sep 2023
Bayesian Exploration Networks Matt Fellows Brandon Kaplowitz Christian Schroeder de Witt Shimon Whiteson BDL 29 3 0 24 Aug 2023
Thinker: Learning to Plan and Act Stephen Chung Ivan Anokhin David M. Krueger LLMAG OffRL LRM 11 5 0 27 Jul 2023
Bridging the Reality Gap of Reinforcement Learning based Traffic Signal Control using Domain Randomization and Meta Learning Arthur Muller M. Sabatelli 11 2 0 21 Jul 2023
Advances and Challenges in Meta-Learning: A Technical Review Anna Vettoruzzo Mohamed-Rafik Bouguelia Joaquin Vanschoren Thorsteinn Rögnvaldsson K. Santosh OffRL 19 69 0 10 Jul 2023
First-Explore, then Exploit: Meta-Learning Intelligent Exploration Ben Norman Jeff Clune 9 0 0 05 Jul 2023
RL $^3$ : Boosting Meta Reinforcement Learning via RL inside RL $^2$ Abhinav Bhatia Samer B. Nashed S. Zilberstein OffRL 17 0 0 28 Jun 2023
On First-Order Meta-Reinforcement Learning with Moreau Envelopes Taha Toghani Sebastian Perez-Salazar César A. Uribe 14 2 0 20 May 2023
Fast Teammate Adaptation in the Presence of Sudden Policy Change Ziqian Zhang Lei Yuan Lihe Li Ke Xue Chengxing Jia Cong Guan Chao Qian Yang Yu 17 7 0 10 May 2023
Structured State Space Models for In-Context Reinforcement Learning Chris Xiaoxuan Lu Yannick Schroecker Albert Gu Emilio Parisotto Jakob N. Foerster Satinder Singh Feryal M. P. Behbahani AI4TS 84 80 0 07 Mar 2023
Transformers generalize differently from information stored in context vs in weights Stephanie C. Y. Chan Ishita Dasgupta Junkyung Kim D. Kumaran Andrew Kyle Lampinen Felix Hill 98 45 0 11 Oct 2022
Task-Agnostic Learning to Accomplish New Tasks Xianqi Zhang Xingtao Wang Xu Liu Wenrui Wang Xiaopeng Fan Debin Zhao OffRL 80 0 0 09 Sep 2022
Meta-Referential Games to Learn Compositional Learning Behaviours Kevin Denamganai S. Missaoui James Alfred Walker 4 1 0 16 Jul 2022
Masked World Models for Visual Control Younggyo Seo Danijar Hafner Hao Liu Fangchen Liu Stephen James Kimin Lee Pieter Abbeel OffRL 77 144 0 28 Jun 2022
Variational Meta Reinforcement Learning for Social Robotics Anand Ballou Xavier Alameda-Pineda Chris Reinke OffRL 11 13 0 07 Jun 2022
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 329 1,944 0 04 May 2020
Rapidly Adaptable Legged Robots via Evolutionary Meta-Learning Xingyou Song Yuxiang Yang K. Choromanski Ken Caluwaerts Wenbo Gao Chelsea Finn Jie Tan 104 79 0 02 Mar 2020
Scalable Multi-Task Imitation Learning with Autonomous Improvement Avi Singh Eric Jang A. Irpan Daniel Kappler Murtaza Dalal Sergey Levine Mohi Khansari Chelsea Finn 45 35 0 25 Feb 2020
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML Aniruddh Raghu M. Raghu Samy Bengio Oriol Vinyals 170 634 0 19 Sep 2019
Meta Reinforcement Learning for Sim-to-real Domain Adaptation Karol Arndt Murtaza Hazara Ali Ghadirzadeh Ville Kyrki 104 103 0 16 Sep 2019
Bayesian Model-Agnostic Meta-Learning Taesup Kim Jaesik Yoon Ousmane Amadou Dia Sungwoong Kim Yoshua Bengio Sungjin Ahn UQCV BDL 188 495 0 11 Jun 2018
Long short-term memory and learning-to-learn in networks of spiking neurons G. Bellec Darjan Salaj Anand Subramoney R. Legenstein Wolfgang Maass 111 477 0 26 Mar 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 243 11,568 0 09 Mar 2017