Quantifying Generalization in Reinforcement Learning

6 December 2018

Papers citing "Quantifying Generalization in Reinforcement Learning"

50 / 397 papers shown

Title
Efficient Embedding of Semantic Similarity in Control Policies via Entangled Bisimulation Martín Bertrán Walter A. Talbott Nitish Srivastava J. Susskind 45 3 0 28 Jan 2022
Look Closer: Bridging Egocentric and Third-Person Views with Transformers for Robotic Manipulation Rishabh Jangir Nicklas Hansen Sambaran Ghosal Mohit Jain Xiaolong Wang 32 65 0 19 Jan 2022
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems Jack Parker-Holder Raghunandan Rajan Xingyou Song André Biedenkapp Yingjie Miao ... Vu-Linh Nguyen Roberto Calandra Aleksandra Faust Frank Hutter Marius Lindauer AI4CE 33 100 0 11 Jan 2022
Cooperation for Scalable Supervision of Autonomy in Mixed Traffic Cameron Hickert Sirui Li Cathy Wu 22 5 0 14 Dec 2021
Learning Generalizable Behavior via Visual Rewrite Rules Yiheng Xie Mingxuan Li Shangqun Yu Michael Littman DRL 14 1 0 09 Dec 2021
Hyper-parameter optimization based on soft actor critic and hierarchical mixture regularization Chaoyue Liu Yulai Zhang 19 0 0 08 Dec 2021
Hindsight Task Relabelling: Experience Replay for Sparse Reward Meta-RL Charles Packer Pieter Abbeel Joseph E. Gonzalez OffRL 23 18 0 02 Dec 2021
Meta Arcade: A Configurable Environment Suite for Meta-Learning Edward W. Staley C. Ashcraft Ben Stoler Jared Markowitz Gautam K. Vallabha Christopher R. Ratto Kapil D. Katyal 19 6 0 01 Dec 2021
Improving Zero-shot Generalization in Offline Reinforcement Learning using Generalized Similarity Functions Bogdan Mazoure Ilya Kostrikov Ofir Nachum Jonathan Tompson OffRL 51 21 0 29 Nov 2021
A Survey of Zero-shot Generalisation in Deep Reinforcement Learning Robert Kirk Amy Zhang Edward Grefenstette Tim Rocktaschel OffRL 17 157 0 18 Nov 2021
Learning Provably Robust Motion Planners Using Funnel Libraries Alim Gurgen Anirudha Majumdar Sushant Veer OOD 25 2 0 16 Nov 2021
B-Pref: Benchmarking Preference-Based Reinforcement Learning Kimin Lee Laura M. Smith Anca Dragan Pieter Abbeel OffRL 40 93 0 04 Nov 2021
Procedural Generalization by Planning with Self-Supervised World Models Ankesh Anand Jacob Walker Yazhe Li Eszter Vértes Julian Schrittwieser Sherjil Ozair T. Weber Jessica B. Hamrick 31 30 0 02 Nov 2021
URLB: Unsupervised Reinforcement Learning Benchmark Michael Laskin Denis Yarats Hao Liu Kimin Lee Albert Zhan Kevin Lu Catherine Cang Lerrel Pinto Pieter Abbeel SSL OffRL 35 133 0 28 Oct 2021
A Versatile and Efficient Reinforcement Learning Framework for Autonomous Driving Guan-Bo Wang Haoyi Niu Desheng Zhu Jianming Hu Xianyuan Zhan Guyue Zhou OffRL 24 2 0 22 Oct 2021
Recurrent Model-Free RL Can Be a Strong Baseline for Many POMDPs Tianwei Ni Benjamin Eysenbach Ruslan Salakhutdinov 26 103 0 11 Oct 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
Unsolved Problems in ML Safety Dan Hendrycks Nicholas Carlini John Schulman Jacob Steinhardt 186 275 0 28 Sep 2021
MetaDrive: Composing Diverse Driving Scenarios for Generalizable Reinforcement Learning Quanyi Li Zhenghao Peng Lan Feng Qihang Zhang Zhenghai Xue Bolei Zhou 41 232 0 26 Sep 2021
Generalization in Text-based Games via Hierarchical Reinforcement Learning Yunqiu Xu Meng Fang Ling Chen Yali Du Chengqi Zhang AI4CE 40 20 0 21 Sep 2021
CompilerGym: Robust, Performant Compiler Optimization Environments for AI Research Chris Cummins Bram Wasti Jiadong Guo Brandon Cui Jason Ansel ... Jia-Wei Liu O. Teytaud Benoit Steiner Yuandong Tian Hugh Leather 31 68 0 17 Sep 2021
Reinforcement Learning on Encrypted Data Alberto Jesu Victor-Alexandru Darvariu Alessandro Staffolani R. Montanari Mirco Musolesi OffRL 21 1 0 16 Sep 2021
Robust Predictable Control Benjamin Eysenbach Ruslan Salakhutdinov Sergey Levine OffRL 29 44 0 07 Sep 2021
A review of mobile robot motion planning methods: from classical motion planning workflows to reinforcement learning-based architectures Changyin Sun Zicheng He Chunwei Song Changyin Sun 38 54 0 31 Aug 2021
Active Reinforcement Learning over MDPs Qi Yang Peng Yang K. Tang 41 0 0 05 Aug 2021
Risk Conditioned Neural Motion Planning Xin Huang Meng Feng A. Jasour Guy Rosman B. Williams 27 6 0 04 Aug 2021
How to Certify Machine Learning Based Safety-critical Systems? A Systematic Literature Review Florian Tambon Gabriel Laberge Le An Amin Nikanjam Paulina Stevia Nouwou Mindom Y. Pequignot Foutse Khomh G. Antoniol E. Merlo François Laviolette 37 66 0 26 Jul 2021
Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting Pot Joel Z Leibo Edgar A. Duénez-Guzmán A. Vezhnevets J. Agapiou P. Sunehag Raphael Köster Jayd Matyas Charlie Beattie Igor Mordatch T. Graepel OffRL 58 103 0 14 Jul 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
The Role of Pretrained Representations for the OOD Generalization of Reinforcement Learning Agents Andrea Dittadi Frederik Trauble M. Wuthrich Felix Widmaier Peter V. Gehler Ole Winther Francesco Locatello Olivier Bachem Bernhard Schölkopf Stefan Bauer OOD 41 16 0 12 Jul 2021
MixStyle Neural Networks for Domain Generalization and Adaptation Kaiyang Zhou Yongxin Yang Yu Qiao Tao Xiang OOD TTA 31 76 0 05 Jul 2021
Sample Efficient Reinforcement Learning via Model-Ensemble Exploration and Exploitation Yaowen Yao Li Xiao Zhicheng An Wanpeng Zhang Dijun Luo 68 20 0 05 Jul 2021
Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning Nan Rosemary Ke Aniket Didolkar Sarthak Mittal Anirudh Goyal Guillaume Lajoie Stefan Bauer Danilo Jimenez Rezende Yoshua Bengio Michael C. Mozer C. Pal CML 29 54 0 02 Jul 2021
Stabilizing Deep Q-Learning with ConvNets and Vision Transformers under Data Augmentation Nicklas Hansen H. Su Xiaolong Wang OffRL 26 134 0 01 Jul 2021
Tuning Mixed Input Hyperparameters on the Fly for Efficient Population Based AutoRL Jack Parker-Holder Vu Nguyen Shaan Desai Stephen J. Roberts 43 16 0 30 Jun 2021
Generalization of Reinforcement Learning with Policy-Aware Adversarial Data Augmentation Hanping Zhang Yuhong Guo 30 23 0 29 Jun 2021
Scenic4RL: Programmatic Modeling and Generation of Reinforcement Learning Environments Abdus Salam Azad Edward Kim M. Wu Kimin Lee Ion Stoica Pieter Abbeel S. Seshia 20 7 0 18 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 30 63 0 17 Jun 2021
Vision-Language Navigation with Random Environmental Mixup Chong Liu Fengda Zhu Xiaojun Chang Xiaodan Liang Zongyuan Ge Yi-Dong Shen LM&Ro 56 86 0 15 Jun 2021
Sample Efficient Reinforcement Learning In Continuous State Spaces: A Perspective Beyond Linearity Dhruv Malik Aldo Pacchiano Vishwak Srinivasan Yuanzhi Li 12 6 0 15 Jun 2021
Automatic Risk Adaptation in Distributional Reinforcement Learning Frederik Schubert Theresa Eimer Bodo Rosenhahn Marius Lindauer 20 8 0 11 Jun 2021
Brittle AI, Causal Confusion, and Bad Mental Models: Challenges and Successes in the XAI Program Jeff Druce J. Niehaus Vanessa Moody David D. Jensen Michael L. Littman 15 15 0 10 Jun 2021
Towards robust and domain agnostic reinforcement learning competitions William H. Guss Stephanie Milani Nicholay Topin Brandon Houghton Sharada Mohanty ... Lu Liu Daichi Nishio Toi Tsuneda Karolis Ramanauskas Gabija Juceviciute OOD 27 2 0 07 Jun 2021
Differentiable Architecture Search for Reinforcement Learning Yingjie Miao Xingyou Song John D. Co-Reyes Daiyi Peng Summer Yue E. Brevdo Aleksandra Faust 20 4 0 04 Jun 2021
Towards Deeper Deep Reinforcement Learning with Spectral Normalization Johan Bjorck Carla P. Gomes Kilian Q. Weinberger 19 23 0 02 Jun 2021
Improving Generalization in Meta-RL with Imaginary Tasks from Latent Dynamics Mixture Suyoung Lee Sae-Young Chung OffRL AI4CE 18 16 0 28 May 2021
Spectral Normalisation for Deep Reinforcement Learning: an Optimisation Perspective Florin Gogianu Tudor Berariu Mihaela Rosca Claudia Clopath L. Buşoniu Razvan Pascanu 24 53 0 11 May 2021
Safety Enhancement for Deep Reinforcement Learning in Autonomous Separation Assurance Wei Guo Marc Brittain Peng Wei 29 18 0 05 May 2021
Joint Attention for Multi-Agent Coordination and Social Learning Dennis Lee Natasha Jaques Chase Kew Jiaxing Wu Douglas Eck Dale Schuurmans Aleksandra Faust 30 8 0 15 Apr 2021
Level Generation for Angry Birds with Sequential VAE and Latent Variable Evolution Takumi Tanabe Kazuto Fukuchi Jun Sakuma Youhei Akimoto 24 11 0 13 Apr 2021