All You Need Is Supervised Learning: From Imitation Learning to Meta-RL
With Upside Down RL

All You Need Is Supervised Learning: From Imitation Learning to Meta-RL With Upside Down RL

24 February 2022

Kai Arulkumaran

Dylan R. Ashley

Jürgen Schmidhuber

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Papers citing "All You Need Is Supervised Learning: From Imitation Learning to Meta-RL With Upside Down RL"

13 / 13 papers shown

Title
Pessimism Principle Can Be Effective: Towards a Framework for Zero-Shot Transfer Reinforcement Learning Chi Zhang Ziying Jia George Atia Sihong He Yue Wang 95 0 0 24 May 2025
RvS: What is Essential for Offline RL via Supervised Learning? Scott Emmons Benjamin Eysenbach Ilya Kostrikov Sergey Levine OffRL 69 183 0 20 Dec 2021
Generalized Decision Transformer for Offline Hindsight Information Matching Hiroki Furuta Y. Matsuo S. Gu OffRL 60 103 0 19 Nov 2021
Perceiver IO: A General Architecture for Structured Inputs & Outputs Andrew Jaegle Sebastian Borgeaud Jean-Baptiste Alayrac Carl Doersch Catalin Ionescu ... Olivier J. Hénaff M. Botvinick Andrew Zisserman Oriol Vinyals João Carreira MLLM VLM GNN 76 583 0 30 Jul 2021
Offline Reinforcement Learning as One Big Sequence Modeling Problem Michael Janner Qiyang Li Sergey Levine OffRL 142 684 0 03 Jun 2021
Transient Non-Stationarity and Generalisation in Deep Reinforcement Learning Maximilian Igl Gregory Farquhar Jelena Luketina Wendelin Boehmer Shimon Whiteson 75 88 0 10 Jun 2020
Reward-Conditioned Policies Aviral Kumar Xue Bin Peng Sergey Levine 65 96 0 31 Dec 2019
Training Agents using Upside-Down Reinforcement Learning R. Srivastava Pranav Shyam Filipe Wall Mutz Wojciech Ja'skowski Jürgen Schmidhuber OffRL 70 126 0 05 Dec 2019
Reinforcement Learning Upside Down: Don't Predict Rewards -- Just Map Them to Actions J. Schmidhuber 65 131 0 05 Dec 2019
Language as an Abstraction for Hierarchical Deep Reinforcement Learning Yiding Jiang S. Gu Kevin Patrick Murphy Chelsea Finn OffRL 55 225 0 18 Jun 2019
Learning to Generalize: Meta-Learning for Domain Generalization Da Li Yongxin Yang Yi-Zhe Song Timothy M. Hospedales OOD 102 1,421 0 10 Oct 2017
Learning to reinforcement learn Jane X. Wang Z. Kurth-Nelson Dhruva Tirumala Hubert Soyer Joel Z Leibo Rémi Munos Charles Blundell D. Kumaran M. Botvinick OffRL 97 980 0 17 Nov 2016
RL $^2$ : Fast Reinforcement Learning via Slow Reinforcement Learning Yan Duan John Schulman Xi Chen Peter L. Bartlett Ilya Sutskever Pieter Abbeel OffRL 99 1,019 0 09 Nov 2016

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