Addressing Optimism Bias in Sequence Modeling for Reinforcement Learning

Addressing Optimism Bias in Sequence Modeling for Reinforcement Learning

21 July 2022

Adam R. Villaflor

Papers citing "Addressing Optimism Bias in Sequence Modeling for Reinforcement Learning"

17 / 17 papers shown

Title
DuoSpaceNet: Leveraging Both Bird's-Eye-View and Perspective View Representations for 3D Object Detection Zhe Huang Yizhe Zhao Hao Xiao Chenyan Wu Lingting Ge 3DPC 44 1 0 17 May 2024
Uncertainty-Aware Decision Transformer for Stochastic Driving Environments Zenan Li Fan Nie Q. Sun Fang Da Hang Zhao OffRL 21 3 0 28 Sep 2023
Efficiency Separation between RL Methods: Model-Free, Model-Based and Goal-Conditioned Han Bao Raphaël Jungers Jean-Charles Delvenne OffRL 10 1 0 28 Sep 2023
ACT: Empowering Decision Transformer with Dynamic Programming via Advantage Conditioning Chenxiao Gao Chenyang Wu Mingjun Cao Rui Kong Zongzhang Zhang Yang Yu OffRL 26 13 0 12 Sep 2023
HIQL: Offline Goal-Conditioned RL with Latent States as Actions Seohong Park Dibya Ghosh Benjamin Eysenbach Sergey Levine OffRL 25 44 0 22 Jul 2023
Future-conditioned Unsupervised Pretraining for Decision Transformer Zhihui Xie Zichuan Lin Deheng Ye Qiang Fu Wei Yang Shuai Li OffRL OnRL 30 22 0 26 May 2023
Reinforcement Learning from Passive Data via Latent Intentions Dibya Ghosh Chethan Bhateja Sergey Levine OffRL 19 41 0 10 Apr 2023
Graph Decision Transformer Shengchao Hu Li Shen Ya-Qin Zhang Dacheng Tao OffRL 28 15 0 07 Mar 2023
A Survey on Transformers in Reinforcement Learning Wenzhe Li Hao Luo Zichuan Lin Chongjie Zhang Zongqing Lu Deheng Ye OffRL MU AI4CE 35 55 0 08 Jan 2023
Deep Spectral Q-learning with Application to Mobile Health Yuhe Gao C. Shi R. Song 8 0 0 03 Jan 2023
On Transforming Reinforcement Learning by Transformer: The Development Trajectory Shengchao Hu Li Shen Ya-Qin Zhang Yixin Chen Dacheng Tao OffRL 23 24 0 29 Dec 2022
Is Conditional Generative Modeling all you need for Decision-Making? Anurag Ajay Yilun Du Abhi Gupta J. Tenenbaum Tommi Jaakkola Pulkit Agrawal DiffM 34 359 0 28 Nov 2022
Dichotomy of Control: Separating What You Can Control from What You Cannot Mengjiao Yang Dale Schuurmans Pieter Abbeel Ofir Nachum OffRL 17 42 0 24 Oct 2022
Offline Reinforcement Learning with Implicit Q-Learning Ilya Kostrikov Ashvin Nair Sergey Levine OffRL 212 837 0 12 Oct 2021
Conservative Offline Distributional Reinforcement Learning Yecheng Jason Ma Dinesh Jayaraman Osbert Bastani OffRL 65 78 0 12 Jul 2021
Learning to drive from a world on rails Di Chen V. Koltun Philipp Krahenbuhl 98 116 0 03 May 2021
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 329 1,949 0 04 May 2020