Mitigating Planner Overfitting in Model-Based Reinforcement Learning

Mitigating Planner Overfitting in Model-Based Reinforcement Learning

3 December 2018

Christopher Grimm

Michael L. Littman

Papers citing "Mitigating Planner Overfitting in Model-Based Reinforcement Learning"

7 / 7 papers shown

Title
Toward Efficient Exploration by Large Language Model Agents Dilip Arumugam Thomas L. Griffiths LLMAG 94 1 0 29 Apr 2025
Dynamic Update-to-Data Ratio: Minimizing World Model Overfitting Nicolai Dorka Tim Welschehold Wolfram Burgard 21 3 0 17 Mar 2023
POMRL: No-Regret Learning-to-Plan with Increasing Horizons Khimya Khetarpal Claire Vernade Brendan O'Donoghue Satinder Singh Tom Zahavy OffRL 33 0 0 30 Dec 2022
Planning to the Information Horizon of BAMDPs via Epistemic State Abstraction Dilip Arumugam Satinder Singh 32 3 0 30 Oct 2022
Comparison and Unification of Three Regularization Methods in Batch Reinforcement Learning Sarah Rathnam Susan Murphy Finale Doshi-Velez OffRL 21 1 0 16 Sep 2021
Personalized HeartSteps: A Reinforcement Learning Algorithm for Optimizing Physical Activity Peng Liao Kristjan Greenewald P. Klasnja Susan Murphy 17 83 0 08 Sep 2019
Estimating Risk and Uncertainty in Deep Reinforcement Learning W. Clements B. V. Delft Benoît-Marie Robaglia Reda Bahi Slaoui Sébastien Toth 35 96 0 23 May 2019