On overfitting and asymptotic bias in batch reinforcement learning with
partial observability

v1v2 (latest)

On overfitting and asymptotic bias in batch reinforcement learning with partial observability

22 September 2017

Vincent François-Lavet

Guillaume Rabusseau

ArXiv (abs)PDF HTML

Papers citing "On overfitting and asymptotic bias in batch reinforcement learning with partial observability"

19 / 19 papers shown

Title
Attention on flow control: transformer-based reinforcement learning for lift regulation in highly disturbed flows Zhecheng Liu Jeff D. Eldredge 57 0 0 11 Jun 2025
Agent-state based policies in POMDPs: Beyond belief-state MDPs Amit Sinha Aditya Mahajan 53 3 0 24 Sep 2024
Leveraging Knowledge Graph-Based Human-Like Memory Systems to Solve Partially Observable Markov Decision Processes Taewoon Kim Vincent François-Lavet Michael Cochez RALM 125 2 0 11 Aug 2024
On shallow planning under partial observability Randy Lefebvre Audrey Durand OffRL 71 1 0 22 Jul 2024
Model approximation in MDPs with unbounded per-step cost Berk Bozkurt Aditya Mahajan A. Nayyar Ouyang Yi 25 2 0 13 Feb 2024
Offline Risk-sensitive RL with Partial Observability to Enhance Performance in Human-Robot Teaming Giorgio Angelotti Caroline Ponzoni Carvalho Chanel Adam H. M. Pinto Christophe Lounis C. Chauffaut Nicolas Drougard OffRL 29 2 0 08 Feb 2024
Semi-Offline Reinforcement Learning for Optimized Text Generation Changyu Chen Xiting Wang Yiqiao Jin Victor Ye Dong Li Dong Jie Cao Yi Liu Rui Yan OffRL 81 15 0 16 Jun 2023
POMRL: No-Regret Learning-to-Plan with Increasing Horizons Khimya Khetarpal Claire Vernade Brendan O'Donoghue Satinder Singh Tom Zahavy OffRL 68 0 0 30 Dec 2022
Rethinking Value Function Learning for Generalization in Reinforcement Learning Seungyong Moon JunYeong Lee Hyun Oh Song OOD OffRL 67 16 0 18 Oct 2022
Semi-Markov Offline Reinforcement Learning for Healthcare Mehdi Fatemi Mary Wu J. Petch Walter Nelson S. Connolly Alexander Benz A. Carnicelli Marzyeh Ghassemi OffRL 66 14 0 17 Mar 2022
Recent Advances in Reinforcement Learning in Finance B. Hambly Renyuan Xu Huining Yang OffRL 126 180 0 08 Dec 2021
Medical Dead-ends and Learning to Identify High-risk States and Treatments Mehdi Fatemi Taylor W. Killian J. Subramanian Marzyeh Ghassemi OffRL 94 40 0 08 Oct 2021
Deep Reinforcement Learning Versus Evolution Strategies: A Comparative Survey Amjad Yousef Majid Serge Saaybi Tomas van Rietbergen Vincent François-Lavet R. V. Prasad Chris Verhoeven OffRL 135 60 0 28 Sep 2021
Approximate information state for approximate planning and reinforcement learning in partially observed systems Jayakumar Subramanian Amit Sinha Raihan Seraj Aditya Mahajan 155 86 0 17 Oct 2020
Discount Factor as a Regularizer in Reinforcement Learning Ron Amit Ron Meir K. Ciosek OffRL 97 72 0 04 Jul 2020
Counterfactually Guided Off-policy Transfer in Clinical Settings Taylor W. Killian Marzyeh Ghassemi Shalmali Joshi CML OffRL OOD 66 12 0 20 Jun 2020
Advantage Amplification in Slowly Evolving Latent-State Environments Martin Mladenov Ofer Meshi Jayden Ooi Dale Schuurmans Craig Boutilier OffRL 89 9 0 29 May 2019
An Introduction to Deep Reinforcement Learning Vincent François-Lavet Peter Henderson Riashat Islam Marc G. Bellemare Joelle Pineau OffRL AI4CE 173 1,279 0 30 Nov 2018
A Dissection of Overfitting and Generalization in Continuous Reinforcement Learning Amy Zhang Nicolas Ballas Joelle Pineau CLL OffRL 113 180 0 20 Jun 2018