RL $^2$ : Fast Reinforcement Learning via Slow Reinforcement Learning

9 November 2016

Pieter Abbeel

Papers citing "RL$^2$: Fast Reinforcement Learning via Slow Reinforcement Learning"

46 / 46 papers shown

Title
Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments Yun Qu Wenjie Wang Yixiu Mao Yiqin Lv Xiangyang Ji TTA 136 0 0 27 Apr 2025
Embodied World Models Emerge from Navigational Task in Open-Ended Environments Li Jin Liu Jia 48 0 0 15 Apr 2025
MoE-Loco: Mixture of Experts for Multitask Locomotion Runhan Huang Shaoting Zhu Yilun Du Hang Zhao MoE 85 1 0 11 Mar 2025
Learning Policy Committees for Effective Personalization in MDPs with Diverse Tasks Luise Ge Michael Lanier Anindya Sarkar Bengisu Guresti Yevgeniy Vorobeychik Chongjie Zhang 178 0 0 26 Feb 2025
Task Aware Dreamer for Task Generalization in Reinforcement Learning Chengyang Ying Zhongkai Hao Xinning Zhou Hang Su Songming Liu Dong Yan Jun Zhu 205 3 0 17 Feb 2025
Coreset-Based Task Selection for Sample-Efficient Meta-Reinforcement Learning Donglin Zhan Leonardo F. Toso James Anderson 172 3 0 04 Feb 2025
Toward Task Generalization via Memory Augmentation in Meta-Reinforcement Learning Kaixi Bao Chenhao Li Yarden As Andreas Krause Marco Hutter OffRL CLL 189 1 0 03 Feb 2025
Reinforcement Teaching Alex Lewandowski Calarina Muslimani Dale Schuurmans Matthew E. Taylor Jun Luo 173 2 0 28 Jan 2025
SigmaRL: A Sample-Efficient and Generalizable Multi-Agent Reinforcement Learning Framework for Motion Planning Jianye Xu Pan Hu Bassam Alrifaee 81 5 0 14 Aug 2024
Pretraining Decision Transformers with Reward Prediction for In-Context Multi-task Structured Bandit Learning Subhojyoti Mukherjee Josiah P. Hanna Qiaomin Xie Robert Nowak 201 2 0 07 Jun 2024
Zero-Shot Reinforcement Learning via Function Encoders Tyler Ingebrand Amy Zhang Ufuk Topcu OffRL 70 3 0 30 Jan 2024
DittoGym: Learning to Control Soft Shape-Shifting Robots Suning Huang Boyuan Chen Huazhe Xu Vincent Sitzmann 67 3 0 24 Jan 2024
Foundational Policy Acquisition via Multitask Learning for Motor Skill Generation Satoshi Yamamori Jun Morimoto 63 0 0 31 Aug 2023
Deep Model-Based Reinforcement Learning for High-Dimensional Problems, a Survey Aske Plaat W. Kosters Mike Preuss BDL OffRL 84 17 0 11 Aug 2020
Agent Modelling under Partial Observability for Deep Reinforcement Learning Georgios Papoudakis Filippos Christianos Stefano V. Albrecht 58 62 0 16 Jun 2020
Meta-Reinforcement Learning Robust to Distributional Shift via Model Identification and Experience Relabeling Russell Mendonca Xinyang Geng Chelsea Finn Sergey Levine OOD OffRL 78 40 0 12 Jun 2020
Learning to reinforcement learn for Neural Architecture Search J. Gomez Joaquin Vanschoren 57 8 0 09 Nov 2019
Sim-to-Real Robot Learning from Pixels with Progressive Nets Andrei A. Rusu Matej Vecerík Thomas Rothörl N. Heess Razvan Pascanu R. Hadsell 74 533 0 13 Oct 2016
Learning Modular Neural Network Policies for Multi-Task and Multi-Robot Transfer Coline Devin Abhishek Gupta Trevor Darrell Pieter Abbeel Sergey Levine OffRL 82 397 0 22 Sep 2016
Why is Posterior Sampling Better than Optimism for Reinforcement Learning? Ian Osband Benjamin Van Roy BDL 76 260 0 01 Jul 2016
Progressive Neural Networks Andrei A. Rusu Neil C. Rabinowitz Guillaume Desjardins Hubert Soyer J. Kirkpatrick Koray Kavukcuoglu Razvan Pascanu R. Hadsell CLL AI4CE 77 2,446 0 15 Jun 2016
Learning to learn by gradient descent by gradient descent Marcin Andrychowicz Misha Denil Sergio Gomez Colmenarejo Matthew W. Hoffman David Pfau Tom Schaul Brendan Shillingford Nando de Freitas 105 2,006 0 14 Jun 2016
Matching Networks for One Shot Learning Oriol Vinyals Charles Blundell Timothy Lillicrap Koray Kavukcuoglu Daan Wierstra VLM 365 7,321 0 13 Jun 2016
Learning to Optimize Ke Li Jitendra Malik 58 256 0 06 Jun 2016
Predicting Personal Traits from Facial Images using Convolutional Neural Networks Augmented with Facial Landmark Information Yoad Lewenberg Valliappa Chockalingam Satinder Singh Honglak Lee CVBM 57 21 0 29 May 2016
One-shot Learning with Memory-Augmented Neural Networks Adam Santoro Sergey Bartunov M. Botvinick Daan Wierstra Timothy Lillicrap 77 525 0 19 May 2016
ViZDoom: A Doom-based AI Research Platform for Visual Reinforcement Learning Michal Kempka Marek Wydmuch Grzegorz Runc Jakub Toczek Wojciech Ja'skowski 60 697 0 06 May 2016
Benchmarking Deep Reinforcement Learning for Continuous Control Yan Duan Xi Chen Rein Houthooft John Schulman Pieter Abbeel OffRL 79 1,693 0 22 Apr 2016
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems Martín Abadi Ashish Agarwal P. Barham E. Brevdo Zhiwen Chen ... Pete Warden Martin Wattenberg Martin Wicke Yuan Yu Xiaoqiang Zheng 269 11,152 0 14 Mar 2016
Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks Tim Salimans Diederik P. Kingma ODL 192 1,941 0 25 Feb 2016
Asynchronous Methods for Deep Reinforcement Learning Volodymyr Mnih Adria Puigdomenech Badia M. Berk Mirza Alex Graves Timothy Lillicrap Tim Harley David Silver Koray Kavukcuoglu 197 8,851 0 04 Feb 2016
Actor-Mimic: Deep Multitask and Transfer Reinforcement Learning Emilio Parisotto Jimmy Lei Ba Ruslan Salakhutdinov OffRL 86 599 0 19 Nov 2015
Policy Distillation Andrei A. Rusu Sergio Gomez Colmenarejo Çağlar Gülçehre Guillaume Desjardins J. Kirkpatrick Razvan Pascanu Volodymyr Mnih Koray Kavukcuoglu R. Hadsell 81 692 0 19 Nov 2015
Learning Continuous Control Policies by Stochastic Value Gradients N. Heess Greg Wayne David Silver Timothy Lillicrap Yuval Tassa Tom Erez 95 560 0 30 Oct 2015
One-Shot Learning of Manipulation Skills with Online Dynamics Adaptation and Neural Network Priors Justin Fu Sergey Levine Pieter Abbeel OffRL 59 160 0 23 Sep 2015
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 318 13,237 0 09 Sep 2015
Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images Manuel Watter Jost Tobias Springenberg Joschka Boedecker Martin Riedmiller BDL 68 845 0 24 Jun 2015
High-Dimensional Continuous Control Using Generalized Advantage Estimation John Schulman Philipp Moritz Sergey Levine Michael I. Jordan Pieter Abbeel OffRL 90 3,406 0 08 Jun 2015
End-to-End Training of Deep Visuomotor Policies Sergey Levine Chelsea Finn Trevor Darrell Pieter Abbeel BDL 308 3,434 0 02 Apr 2015
Trust Region Policy Optimization John Schulman Sergey Levine Philipp Moritz Michael I. Jordan Pieter Abbeel 277 6,767 0 19 Feb 2015
From Pixels to Torques: Policy Learning with Deep Dynamical Models Niklas Wahlström Thomas B. Schon M. Deisenroth 72 189 0 08 Feb 2015
Example Selection For Dictionary Learning Tomoki Tsuchida G. Cottrell 66 47 0 18 Dec 2014
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling Junyoung Chung Çağlar Gülçehre Kyunghyun Cho Yoshua Bengio 581 12,704 0 11 Dec 2014
On the Properties of Neural Machine Translation: Encoder-Decoder Approaches Kyunghyun Cho B. V. Merrienboer Dzmitry Bahdanau Yoshua Bengio AI4CE AIMat 242 6,776 0 03 Sep 2014
Exact solutions to the nonlinear dynamics of learning in deep linear neural networks Andrew M. Saxe James L. McClelland Surya Ganguli ODL 165 1,844 0 20 Dec 2013
(More) Efficient Reinforcement Learning via Posterior Sampling Ian Osband Daniel Russo Benjamin Van Roy 116 533 0 04 Jun 2013

RL2^22: Fast Reinforcement Learning via Slow Reinforcement Learning

Papers citing "RL$^2$: Fast Reinforcement Learning via Slow Reinforcement Learning"

RL $^2$ : Fast Reinforcement Learning via Slow Reinforcement Learning