A Dissection of Overfitting and Generalization in Continuous Reinforcement Learning

20 June 2018

Papers citing "A Dissection of Overfitting and Generalization in Continuous Reinforcement Learning"

46 / 46 papers shown

Title
On Generalization Across Environments In Multi-Objective Reinforcement Learning Jayden Teoh Pradeep Varakantham Peter Vamplew OffRL 34 0 0 02 Mar 2025
State Combinatorial Generalization In Decision Making With Conditional Diffusion Models Xintong Duan Yutong He Fahim Tajwar Wen-Tse Chen Ruslan Salakhutdinov Jeff Schneider OffRL AI4CE 101 0 0 22 Jan 2025
A Novel Switch-Type Policy Network for Resource Allocation Problems: Technical Report Jerrod Wigmore B. Shrader E. Modiano 67 0 0 19 Jan 2025
GreenLight-Gym: Reinforcement learning benchmark environment for control of greenhouse production systems Bart van Laatum Eldert J. van Henten Sjoerd Boersma OffRL 74 0 0 06 Oct 2024
Disentangling Recognition and Decision Regrets in Image-Based Reinforcement Learning Alihan Hüyük A. R. Koblitz Atefeh Mohajeri M. Andrews OffRL 40 0 0 19 Sep 2024
The Overcooked Generalisation Challenge Constantin Ruhdorfer Matteo Bortoletto Anna Penzkofer Andreas Bulling 48 4 0 25 Jun 2024
Intervention-Assisted Policy Gradient Methods for Online Stochastic Queuing Network Optimization: Technical Report Jerrod Wigmore B. Shrader E. Modiano OffRL 32 1 0 05 Apr 2024
Investigating Generalization Behaviours of Generative Flow Networks Lazar Atanackovic Emmanuel Bengio AI4CE 30 2 0 07 Feb 2024
Closing the Gap between TD Learning and Supervised Learning -- A Generalisation Point of View Raj Ghugare Matthieu Geist Glen Berseth Benjamin Eysenbach OffRL 35 14 0 20 Jan 2024
In-Context Reinforcement Learning for Variable Action Spaces Viacheslav Sinii Alexander Nikulin Vladislav Kurenkov Ilya Zisman Sergey Kolesnikov 24 14 0 20 Dec 2023
XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAX Alexander Nikulin Vladislav Kurenkov Ilya Zisman Artem Agarkov Viacheslav Sinii Sergey Kolesnikov 26 26 0 19 Dec 2023
Enhanced Generalization through Prioritization and Diversity in Self-Imitation Reinforcement Learning over Procedural Environments with Sparse Rewards Alain Andres Daochen Zha Javier Del Ser 37 0 0 01 Nov 2023
SDGym: Low-Code Reinforcement Learning Environments using System Dynamics Models Emmanuel Klu Sameer Sethi DJ Passey Donald Martin AI4CE SyDa 31 0 0 19 Oct 2023
Adversarial Style Transfer for Robust Policy Optimization in Deep Reinforcement Learning Md Masudur Rahman Yexiang Xue 29 4 0 29 Aug 2023
Dynamic Update-to-Data Ratio: Minimizing World Model Overfitting Nicolai Dorka Tim Welschehold Wolfram Burgard 16 3 0 17 Mar 2023
Generalization through Diversity: Improving Unsupervised Environment Design Wenjun Li Pradeep Varakantham Dexun Li 33 7 0 19 Jan 2023
Melting Pot 2.0 J. Agapiou A. Vezhnevets Edgar A. Duénez-Guzmán Jayd Matyas Yiran Mao ... Sukhdeep Singh Julia Haas Igor Mordatch D. Mobbs Joel Z Leibo 33 31 0 24 Nov 2022
Scaling Laws for Reward Model Overoptimization Leo Gao John Schulman Jacob Hilton ALM 41 481 0 19 Oct 2022
CLUTR: Curriculum Learning via Unsupervised Task Representation Learning Abdus Salam Azad Izzeddin Gur Jasper Emhoff Nathaniel Alexis Aleksandra Faust Pieter Abbeel Ion Stoica SSL 29 12 0 19 Oct 2022
Exploration via Elliptical Episodic Bonuses Mikael Henaff Roberta Raileanu Minqi Jiang Tim Rocktaschel OffRL 29 40 0 11 Oct 2022
Towards a Standardised Performance Evaluation Protocol for Cooperative MARL R. Gorsane Omayma Mahjoub Ruan de Kock Roland Dubb Siddarth S. Singh Arnu Pretorius OffRL 39 49 0 21 Sep 2022
Learn the Time to Learn: Replay Scheduling in Continual Learning Marcus Klasson Hedvig Kjellström Chen Zhang CLL 24 9 0 18 Sep 2022
Look where you look! Saliency-guided Q-networks for generalization in visual Reinforcement Learning David Bertoin Adil Zouitine Mehdi Zouitine Emmanuel Rachelson 36 30 0 16 Sep 2022
Bootstrap State Representation using Style Transfer for Better Generalization in Deep Reinforcement Learning Md Masudur Rahman Yexiang Xue OffRL 34 4 0 15 Jul 2022
Local Feature Swapping for Generalization in Reinforcement Learning David Bertoin Emmanuel Rachelson OOD 21 14 0 13 Apr 2022
Evolving Curricula with Regret-Based Environment Design Jack Parker-Holder Minqi Jiang Michael Dennis Mikayel Samvelyan Jakob N. Foerster Edward Grefenstette Tim Rocktaschel 31 117 0 02 Mar 2022
Hindsight Task Relabelling: Experience Replay for Sparse Reward Meta-RL Charles Packer Pieter Abbeel Joseph E. Gonzalez OffRL 23 18 0 02 Dec 2021
Replay-Guided Adversarial Environment Design Minqi Jiang Michael Dennis Jack Parker-Holder Jakob N. Foerster Edward Grefenstette Tim Rocktaschel 129 95 0 06 Oct 2021
Hierarchical Primitive Composition: Simultaneous Activation of Skills with Inconsistent Action Dimensions in Multiple Hierarchies Jeong-Hoon Lee Jongeun Choi 26 8 0 05 Oct 2021
Why Generalization in RL is Difficult: Epistemic POMDPs and Implicit Partial Observability Dibya Ghosh Jad Rahme Aviral Kumar Amy Zhang Ryan P. Adams Sergey Levine OffRL 278 109 0 13 Jul 2021
Generalization of Reinforcement Learning with Policy-Aware Adversarial Data Augmentation Hanping Zhang Yuhong Guo 24 23 0 29 Jun 2021
SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual Policies Linxi Fan Guanzhi Wang De-An Huang Zhiding Yu Li Fei-Fei Yuke Zhu Anima Anandkumar OffRL 18 63 0 17 Jun 2021
Sparse Attention Guided Dynamic Value Estimation for Single-Task Multi-Scene Reinforcement Learning Jaskirat Singh Liang Zheng OffRL 21 3 0 14 Feb 2021
Towards Hierarchical Task Decomposition using Deep Reinforcement Learning for Pick and Place Subtasks Luca Marzari Ameya Pore Diego DallÁlba G. Aragon-Camarasa Alessandro Farinelli Paolo Fiorini 38 28 0 08 Feb 2021
CARLA Real Traffic Scenarios -- novel training ground and benchmark for autonomous driving B. Osinski Piotr Milos Adam Jakubowski Pawel Ziecina Michal Martyniak Christopher Galias Antonia Breuer S. Homoceanu Henryk Michalewski 19 20 0 16 Dec 2020
MRAC-RL: A Framework for On-Line Policy Adaptation Under Parametric Model Uncertainty A. Guha Anuradha M. Annaswamy 31 12 0 20 Nov 2020
Discount Factor as a Regularizer in Reinforcement Learning Ron Amit Ron Meir K. Ciosek OffRL 22 71 0 04 Jul 2020
Automatic Data Augmentation for Generalization in Deep Reinforcement Learning Roberta Raileanu M. Goldstein Denis Yarats Ilya Kostrikov Rob Fergus OffRL 22 109 0 23 Jun 2020
Learning with AMIGo: Adversarially Motivated Intrinsic Goals Andres Campero Roberta Raileanu Heinrich Küttler J. Tenenbaum Tim Rocktaschel Edward Grefenstette 38 125 0 22 Jun 2020
Transient Non-Stationarity and Generalisation in Deep Reinforcement Learning Maximilian Igl Gregory Farquhar Jelena Luketina Wendelin Boehmer Shimon Whiteson 27 84 0 10 Jun 2020
Leveraging Procedural Generation to Benchmark Reinforcement Learning K. Cobbe Christopher Hesse Jacob Hilton John Schulman 24 541 0 03 Dec 2019
The Principle of Unchanged Optimality in Reinforcement Learning Generalization A. Irpan Xingyou Song OffRL 27 7 0 02 Jun 2019
Investigating Generalisation in Continuous Deep Reinforcement Learning Chenyang Zhao Olivier Sigaud F. Stulp Timothy M. Hospedales OffRL 19 48 0 19 Feb 2019
Quantifying Generalization in Reinforcement Learning K. Cobbe Oleg Klimov Christopher Hesse Taehoon Kim John Schulman OffRL 18 659 0 06 Dec 2018
Assessing Generalization in Deep Reinforcement Learning Charles Packer Katelyn Gao Jernej Kos Philipp Krahenbuhl V. Koltun D. Song OffRL 18 233 0 29 Oct 2018
Generalization and Regularization in DQN Jesse Farebrother Marlos C. Machado Michael Bowling 25 203 0 29 Sep 2018