When to use parametric models in reinforcement learning?

12 June 2019

Papers citing "When to use parametric models in reinforcement learning?"

50 / 124 papers shown

Title
Stabilizing Off-Policy Deep Reinforcement Learning from Pixels Edoardo Cetin Philip J. Ball Steve Roberts Oya Celiktutan 38 36 0 03 Jul 2022
Value-Consistent Representation Learning for Data-Efficient Reinforcement Learning Yang Yue Bingyi Kang Zhongwen Xu Gao Huang Shuicheng Yan OffRL 38 13 0 25 Jun 2022
Does Self-supervised Learning Really Improve Reinforcement Learning from Pixels? Xiang Li Jinghuan Shang Srijan Das Michael S. Ryoo SSL 40 31 0 10 Jun 2022
A Relational Intervention Approach for Unsupervised Dynamics Generalization in Model-Based Reinforcement Learning J. Guo Biwei Huang Dacheng Tao 15 20 0 09 Jun 2022
Hub-Pathway: Transfer Learning from A Hub of Pre-trained Models Yang Shu Zhangjie Cao Ziyang Zhang Jianmin Wang Mingsheng Long 22 4 0 08 Jun 2022
On the Effectiveness of Fine-tuning Versus Meta-reinforcement Learning Mandi Zhao Pieter Abbeel Stephen James OffRL 31 33 0 07 Jun 2022
Goal-Space Planning with Subgoal Models Chun-Ping Lo Kevin Roice Parham Mohammad Panahi Scott M. Jordan Adam White Gábor Mihucz Farzane Aminmansour Martha White 29 5 0 06 Jun 2022
Graph Backup: Data Efficient Backup Exploiting Markovian Transitions Zhengyao Jiang Tianjun Zhang Robert Kirk Tim Rocktaschel Edward Grefenstette OffRL 10 2 0 31 May 2022
Frustratingly Easy Regularization on Representation Can Boost Deep Reinforcement Learning Qiang He Huangyuan Su Jieyu Zhang Xinwen Hou OOD OffRL 30 7 0 29 May 2022
Transformer with Memory Replay R. Liu Barzan Mozafari OffRL 70 4 0 19 May 2022
The Primacy Bias in Deep Reinforcement Learning Evgenii Nikishin Max Schwarzer P. DÓro Pierre-Luc Bacon Rameswar Panda OnRL 96 182 0 16 May 2022
CCLF: A Contrastive-Curiosity-Driven Learning Framework for Sample-Efficient Reinforcement Learning Chenyu Sun Hangwei Qian Chunyan Miao OffRL 34 12 0 02 May 2022
Topological Experience Replay Zhang-Wei Hong Tao Chen Yen-Chen Lin Joni Pajarinen Pulkit Agrawal 24 16 0 29 Mar 2022
Fast and Data Efficient Reinforcement Learning from Pixels via Non-Parametric Value Approximation Alex Long Alan Blair H. V. Hoof 26 3 0 07 Mar 2022
Selective Credit Assignment Veronica Chelu Diana Borsa Doina Precup Hado van Hasselt 32 2 0 20 Feb 2022
Retrieval-Augmented Reinforcement Learning Anirudh Goyal A. Friesen Andrea Banino T. Weber Nan Rosemary Ke ... Michal Valko Simon Osindero Timothy Lillicrap N. Heess Charles Blundell OffRL 32 53 0 17 Feb 2022
Influence-Augmented Local Simulators: A Scalable Solution for Fast Deep RL in Large Networked Systems Miguel Suau Jinke He M. Spaan F. Oliehoek 30 4 0 03 Feb 2022
Mask-based Latent Reconstruction for Reinforcement Learning Tao Yu Zhizheng Zhang Cuiling Lan Yan Lu Zhibo Chen 24 44 0 28 Jan 2022
Programmatic Policy Extraction by Iterative Local Search Rasmus Larsen Mikkel N. Schmidt 13 0 0 18 Jan 2022
Fast and Data-Efficient Training of Rainbow: an Experimental Study on Atari Dominik Schmidt Thomas Schmied OffRL 28 12 0 19 Nov 2021
Learning Representations for Pixel-based Control: What Matters and Why? Manan Tomar Utkarsh Aashu Mishra Amy Zhang Matthew E. Taylor SSL OffRL 30 24 0 15 Nov 2021
Improving Experience Replay through Modeling of Similar Transitions' Sets Daniel Eugênio Neves João Pedro Oliveira Batisteli Eduardo Felipe Lopes Lucila Ishitani Zenilton K. G. Patrocínio OffRL 21 1 0 12 Nov 2021
Mastering Atari Games with Limited Data Weirui Ye Shao-Wei Liu Thanard Kurutach Pieter Abbeel Yang Gao VLM 56 226 0 30 Oct 2021
The Efficiency Misnomer Daoyuan Chen Liuyi Yao Dawei Gao Ashish Vaswani Yaliang Li 39 99 0 25 Oct 2021
Self-Consistent Models and Values Roy Miles Kate Baumli Zita Marinho Angelos Filos Matteo Hessel Hado van Hasselt David Silver 38 8 0 25 Oct 2021
Evaluating model-based planning and planner amortization for continuous control Arunkumar Byravan Leonard Hasenclever Piotr Trochim M. Berk Mirza Alessandro Davide Ialongo ... Jost Tobias Springenberg A. Abdolmaleki N. Heess J. Merel Martin Riedmiller 55 17 0 07 Oct 2021
Offline Reinforcement Learning with Reverse Model-based Imagination Jianhao Wang Wenzhe Li Haozhe Jiang Guangxiang Zhu Siyuan Li Chongjie Zhang OffRL 111 61 0 01 Oct 2021
Benchmarking the Spectrum of Agent Capabilities Danijar Hafner ELM 33 128 0 14 Sep 2021
APS: Active Pretraining with Successor Features Hao Liu Pieter Abbeel 50 119 0 31 Aug 2021
Deep Reinforcement Learning at the Edge of the Statistical Precipice Rishabh Agarwal Max Schwarzer Pablo Samuel Castro Aaron Courville Marc G. Bellemare OffRL 61 639 0 30 Aug 2021
Learning Expected Emphatic Traces for Deep RL Ray Jiang Shangtong Zhang Veronica Chelu Adam White Hado van Hasselt OffRL 27 12 0 12 Jul 2021
Ensemble and Auxiliary Tasks for Data-Efficient Deep Reinforcement Learning Muhammad Rizki Maulana W. Lee 22 1 0 05 Jul 2021
Zoo-Tuning: Adaptive Transfer from a Zoo of Models Yang Shu Zhi Kou Zhangjie Cao Jianmin Wang Mingsheng Long 29 44 0 29 Jun 2021
Pretraining Representations for Data-Efficient Reinforcement Learning Max Schwarzer Nitarshan Rajkumar Michael Noukhovitch Ankesh Anand Laurent Charlin Devon Hjelm Philip Bachman Aaron Courville OffRL 47 114 0 09 Jun 2021
Vector Quantized Models for Planning Sherjil Ozair Yazhe Li Ali Razavi Ioannis Antonoglou Aaron van den Oord Oriol Vinyals OffRL 24 49 0 08 Jun 2021
Learning Markov State Abstractions for Deep Reinforcement Learning Cameron Allen Neev Parikh Omer Gottesman George Konidaris BDL OffRL 42 36 0 08 Jun 2021
PlayVirtual: Augmenting Cycle-Consistent Virtual Trajectories for Reinforcement Learning Tao Yu Cuiling Lan Wenjun Zeng Mingxiao Feng Zhizheng Zhang Zhibo Chen OffRL 25 46 0 08 Jun 2021
Adaptive learning for financial markets mixing model-based and model-free RL for volatility targeting Eric Benhamou David Saltiel S. Tabachnik Sui Kai Wong François Chareyron OOD 57 4 0 19 Apr 2021
Planning with Expectation Models for Control Katya Kudashkina Yi Wan Abhishek Naik R. Sutton OffRL 30 0 0 17 Apr 2021
Muesli: Combining Improvements in Policy Optimization Matteo Hessel Ivo Danihelka Fabio Viola A. Guez Simon Schmitt Laurent Sifre T. Weber David Silver H. V. Hasselt 24 66 0 13 Apr 2021
Model-free Policy Learning with Reward Gradients Qingfeng Lan Samuele Tosatto Homayoon Farrahi Rupam Mahmood 19 6 0 09 Mar 2021
Behavior From the Void: Unsupervised Active Pre-Training Hao Liu Pieter Abbeel VLM SSL 46 195 0 08 Mar 2021
Improving Computational Efficiency in Visual Reinforcement Learning via Stored Embeddings Lili Chen Kimin Lee A. Srinivas Pieter Abbeel OffRL 24 11 0 04 Mar 2021
Return-Based Contrastive Representation Learning for Reinforcement Learning Guoqing Liu Chuheng Zhang Li Zhao Tao Qin Jinhua Zhu Jian Li Nenghai Yu Tie-Yan Liu SSL OffRL 19 47 0 22 Feb 2021
Q-Value Weighted Regression: Reinforcement Learning with Limited Data Piotr Kozakowski Lukasz Kaiser Henryk Michalewski Afroz Mohiuddin Katarzyna Kañska OffRL 30 5 0 12 Feb 2021
Measuring Progress in Deep Reinforcement Learning Sample Efficiency Florian E. Dorner 25 12 0 09 Feb 2021
Model-Augmented Q-learning Youngmin Oh Jinwoo Shin Eunho Yang Sung Ju Hwang OffRL 19 1 0 07 Feb 2021
On the role of planning in model-based deep reinforcement learning Jessica B. Hamrick A. Friesen Feryal M. P. Behbahani A. Guez Fabio Viola Sims Witherspoon Thomas W. Anthony Lars Buesing Petar Velickovic T. Weber OffRL 30 65 0 08 Nov 2020
Single and Multi-Agent Deep Reinforcement Learning for AI-Enabled Wireless Networks: A Tutorial Amal Feriani Ekram Hossain 40 237 0 06 Nov 2020
Implicit Under-Parameterization Inhibits Data-Efficient Deep Reinforcement Learning Aviral Kumar Rishabh Agarwal Dibya Ghosh Sergey Levine OffRL 22 118 0 27 Oct 2020