Assessing Generalization in Deep Reinforcement Learning

29 October 2018

Papers citing "Assessing Generalization in Deep Reinforcement Learning"

42 / 42 papers shown

Title
Linear Mixture Distributionally Robust Markov Decision Processes Zhishuai Liu Pan Xu 43 0 0 23 May 2025
An Efficient Approach for Cooperative Multi-Agent Learning Problems Ángel Aso-Mollar Eva Onaindia 49 0 0 07 Apr 2025
On Generalization Across Environments In Multi-Objective Reinforcement Learning Jayden Teoh Pradeep Varakantham Peter Vamplew OffRL 79 1 0 02 Mar 2025
Dual Formulation for Non-Rectangular Lp Robust Markov Decision Processes Navdeep Kumar Adarsh Gupta Maxence Mohamed Elfatihi Giorgia Ramponi Kfir Y. Levy Shie Mannor 85 0 0 13 Feb 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 141 1 0 22 Jan 2025
Disentangling Recognition and Decision Regrets in Image-Based Reinforcement Learning Alihan Hüyük A. R. Koblitz Atefeh Mohajeri M. Andrews OffRL 72 0 0 19 Sep 2024
Investigating Generalization Behaviours of Generative Flow Networks Lazar Atanackovic Emmanuel Bengio AI4CE 60 4 0 07 Feb 2024
Neuroevolution of Self-Interpretable Agents Yujin Tang Duong Nguyen David R Ha 92 113 0 18 Mar 2020
Quantifying Generalization in Reinforcement Learning K. Cobbe Oleg Klimov Christopher Hesse Taehoon Kim John Schulman OffRL 91 670 0 06 Dec 2018
Illuminating Generalization in Deep Reinforcement Learning through Procedural Level Generation Niels Justesen R. Torrado Philip Bontrager Ahmed Khalifa Julian Togelius S. Risi 110 184 0 28 Jun 2018
A Dissection of Overfitting and Generalization in Continuous Reinforcement Learning Amy Zhang Nicolas Ballas Joelle Pineau CLL OffRL 83 179 0 20 Jun 2018
Gotta Learn Fast: A New Benchmark for Generalization in RL Alex Nichol Vicki Pfau Christopher Hesse Oleg Klimov John Schulman VLM OffRL 55 177 0 10 Apr 2018
Meta Reinforcement Learning with Latent Variable Gaussian Processes Steindór Sæmundsson Katja Hofmann M. Deisenroth BDL OffRL AI4CE 74 141 0 20 Mar 2018
An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling Shaojie Bai J. Zico Kolter V. Koltun DRL 86 4,803 0 04 Mar 2018
Deep Learning: A Critical Appraisal G. Marcus HAI VLM 119 1,040 0 02 Jan 2018
AI Safety Gridworlds Jan Leike Miljan Martic Victoria Krakovna Pedro A. Ortega Tom Everitt Andrew Lefrancq Laurent Orseau Shane Legg 102 253 0 27 Nov 2017
Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments Maruan Al-Shedivat Trapit Bansal Yuri Burda Ilya Sutskever Igor Mordatch Pieter Abbeel CLL 66 354 0 10 Oct 2017
Deep Reinforcement Learning that Matters Peter Henderson Riashat Islam Philip Bachman Joelle Pineau Doina Precup David Meger OffRL 116 1,950 0 19 Sep 2017
Revisiting the Arcade Learning Environment: Evaluation Protocols and Open Problems for General Agents Marlos C. Machado Marc G. Bellemare Erik Talvitie J. Veness Matthew J. Hausknecht Michael Bowling 71 552 0 18 Sep 2017
A Brief Survey of Deep Reinforcement Learning Kai Arulkumaran M. Deisenroth Miles Brundage Anil Anthony Bharath OffRL 120 2,809 0 19 Aug 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 468 19,006 0 20 Jul 2017
Learning to Learn: Meta-Critic Networks for Sample Efficient Learning Flood Sung Li Zhang Tao Xiang Timothy M. Hospedales Yongxin Yang OffRL 57 128 0 29 Jun 2017
An Overview of Multi-Task Learning in Deep Neural Networks Sebastian Ruder CVBM 146 2,826 0 15 Jun 2017
Reinforcement Learning under Model Mismatch Aurko Roy Huan Xu Sebastian Pokutta OOD 48 80 0 15 Jun 2017
Schema Networks: Zero-shot Transfer with a Generative Causal Model of Intuitive Physics Ken Kansky Tom Silver David A. Mély Mohamed Eldawy Miguel Lazaro-Gredilla Xinghua Lou N. Dorfman Szymon Sidor Scott Phoenix Dileep George AI4CE 72 234 0 14 Jun 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 813 11,894 0 09 Mar 2017
Robust Adversarial Reinforcement Learning Lerrel Pinto James Davidson Rahul Sukthankar Abhinav Gupta OOD 93 854 0 08 Mar 2017
Towards Generalization and Simplicity in Continuous Control Aravind Rajeswaran Kendall Lowrey E. Todorov Sham Kakade OffRL 86 276 0 08 Mar 2017
Preparing for the Unknown: Learning a Universal Policy with Online System Identification Wenhao Yu Jie Tan Chenxi Liu Greg Turk OffRL 73 307 0 08 Feb 2017
DeepMind Lab Charlie Beattie Joel Z Leibo Denis Teplyashin Tom Ward Marcus Wainwright ... Stephen Gaffney Helen King Demis Hassabis Shane Legg Stig Petersen 50 241 0 12 Dec 2016
Learning to reinforcement learn Jane X. Wang Z. Kurth-Nelson Dhruva Tirumala Hubert Soyer Joel Z Leibo Rémi Munos Charles Blundell D. Kumaran M. Botvinick OffRL 97 978 0 17 Nov 2016
RL $^2$ : Fast Reinforcement Learning via Slow Reinforcement Learning Yan Duan John Schulman Xi Chen Peter L. Bartlett Ilya Sutskever Pieter Abbeel OffRL 81 1,018 0 09 Nov 2016
EPOpt: Learning Robust Neural Network Policies Using Model Ensembles Aravind Rajeswaran Sarvjeet Ghotra Balaraman Ravindran Sergey Levine 163 351 0 05 Oct 2016
Progressive Neural Networks Andrei A. Rusu Neil C. Rabinowitz Guillaume Desjardins Hubert Soyer J. Kirkpatrick Koray Kavukcuoglu Razvan Pascanu R. Hadsell CLL AI4CE 77 2,446 0 15 Jun 2016
OpenAI Gym Greg Brockman Vicki Cheung Ludwig Pettersson Jonas Schneider John Schulman Jie Tang Wojciech Zaremba OffRL ODL 214 5,075 0 05 Jun 2016
ViZDoom: A Doom-based AI Research Platform for Visual Reinforcement Learning Michal Kempka Marek Wydmuch Grzegorz Runc Jakub Toczek Wojciech Ja'skowski 60 697 0 06 May 2016
Benchmarking Deep Reinforcement Learning for Continuous Control Yan Duan Xi Chen Rein Houthooft John Schulman Pieter Abbeel OffRL 79 1,693 0 22 Apr 2016
Asynchronous Methods for Deep Reinforcement Learning Volodymyr Mnih Adria Puigdomenech Badia M. Berk Mirza Alex Graves Timothy Lillicrap Tim Harley David Silver Koray Kavukcuoglu 191 8,850 0 04 Feb 2016
Trust Region Policy Optimization John Schulman Sergey Levine Philipp Moritz Michael I. Jordan Pieter Abbeel 277 6,764 0 19 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.7K 150,006 0 22 Dec 2014
Optimizing the CVaR via Sampling Aviv Tamar Yonatan Glassner Shie Mannor 77 186 0 15 Apr 2014
The Arcade Learning Environment: An Evaluation Platform for General Agents Marc G. Bellemare Yavar Naddaf J. Veness Michael Bowling 109 3,004 0 19 Jul 2012