Quantifying Generalization in Reinforcement Learning

6 December 2018

Papers citing "Quantifying Generalization in Reinforcement Learning"

50 / 397 papers shown

Title
Domain Generalization with MixStyle Kaiyang Zhou Yongxin Yang Yu Qiao Tao Xiang 71 745 0 05 Apr 2021
TeachMyAgent: a Benchmark for Automatic Curriculum Learning in Deep RL Clément Romac Rémy Portelas Katja Hofmann Pierre-Yves Oudeyer 27 21 0 17 Mar 2021
Maximum Entropy RL (Provably) Solves Some Robust RL Problems Benjamin Eysenbach Sergey Levine OOD 50 175 0 10 Mar 2021
Continuous Coordination As a Realistic Scenario for Lifelong Learning Hadi Nekoei Akilesh Badrinaaraayanan Aaron Courville Sarath Chandar CLL OffRL 27 40 0 04 Mar 2021
Domain Generalization: A Survey Kaiyang Zhou Ziwei Liu Yu Qiao Tao Xiang Chen Change Loy OOD AI4CE 75 982 0 03 Mar 2021
DRIBO: Robust Deep Reinforcement Learning via Multi-View Information Bottleneck Jiameng Fan Wenchao Li OffRL 14 39 0 26 Feb 2021
HALMA: Humanlike Abstraction Learning Meets Affordance in Rapid Problem Solving Sirui Xie Xiaojian Ma Peiyu Yu Yixin Zhu Ying Nian Wu Song-Chun Zhu 42 20 0 22 Feb 2021
Decoupling Value and Policy for Generalization in Reinforcement Learning Roberta Raileanu Rob Fergus DRL OffRL 14 95 0 20 Feb 2021
Adaptive Rational Activations to Boost Deep Reinforcement Learning Quentin Delfosse P. Schramowski Martin Mundt Alejandro Molina Kristian Kersting 42 15 0 18 Feb 2021
Quantifying the effects of environment and population diversity in multi-agent reinforcement learning Kevin R. McKee Joel Z Leibo Charlie Beattie Richard Everett 50 31 0 16 Feb 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
Domain Adversarial Reinforcement Learning Bonnie Li Vincent Franccois-Lavet T. Doan Joelle Pineau OOD 28 22 0 14 Feb 2021
LTL2Action: Generalizing LTL Instructions for Multi-Task RL Pashootan Vaezipoor Andrew C. Li Rodrigo Toro Icarte Sheila A. McIlraith OffRL AI4CE 42 74 0 13 Feb 2021
Transfer Reinforcement Learning across Homotopy Classes Zhangjie Cao Minae Kwon Dorsa Sadigh 19 17 0 10 Feb 2021
Alchemy: A benchmark and analysis toolkit for meta-reinforcement learning agents Jane X. Wang Michael King Nicolas Porcel Z. Kurth-Nelson Tina Zhu ... Neil C. Rabinowitz Loic Matthey Demis Hassabis Alexander Lerchner M. Botvinick OffRL 23 30 0 04 Feb 2021
Contrastive Behavioral Similarity Embeddings for Generalization in Reinforcement Learning Rishabh Agarwal Marlos C. Machado Pablo Samuel Castro Marc G. Bellemare OffRL 27 164 0 13 Jan 2021
Off-Policy Meta-Reinforcement Learning Based on Feature Embedding Spaces Takahisa Imagawa Takuya Hiraoka Yoshimasa Tsuruoka OffRL 17 2 0 06 Jan 2021
When Is Generalizable Reinforcement Learning Tractable? Dhruv Malik Yuanzhi Li Pradeep Ravikumar OffRL 89 24 0 01 Jan 2021
Improving the Generalization of End-to-End Driving through Procedural Generation Quanyi Li Zhenghao Peng Qihang Zhang Chunxiao Liu Bolei Zhou 18 16 0 26 Dec 2020
Towards Continual Reinforcement Learning: A Review and Perspectives Khimya Khetarpal Matthew D Riemer Irina Rish Doina Precup CLL OffRL 54 311 0 25 Dec 2020
Augmenting Policy Learning with Routines Discovered from a Single Demonstration Zelin Zhao Chuang Gan Jiajun Wu Xiaoxiao Guo J. Tenenbaum OffRL 16 5 0 23 Dec 2020
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 22 20 0 16 Dec 2020
Grounding Artificial Intelligence in the Origins of Human Behavior Eleni Nisioti Clément Moulin-Frier AI4CE 47 5 0 15 Dec 2020
Relative Variational Intrinsic Control Kate Baumli David Warde-Farley Steven Hansen Volodymyr Mnih 26 42 0 14 Dec 2020
Robust Domain Randomised Reinforcement Learning through Peer-to-Peer Distillation Chenyang Zhao Timothy M. Hospedales OOD 33 16 0 09 Dec 2020
Intervention Design for Effective Sim2Real Transfer Melissa Mozifian Amy Zhang Joelle Pineau D. Meger 17 9 0 03 Dec 2020
Continuous Transition: Improving Sample Efficiency for Continuous Control Problems via MixUp Junfan Lin Zhongzhan Huang Keze Wang Xiaodan Liang Weiwei Chen Liang Lin 19 11 0 30 Nov 2020
Generalization in Reinforcement Learning by Soft Data Augmentation Nicklas Hansen Xiaolong Wang OffRL 12 166 0 26 Nov 2020
Enhanced Scene Specificity with Sparse Dynamic Value Estimation Jaskirat Singh Liang Zheng 21 0 0 25 Nov 2020
Meta Automatic Curriculum Learning Rémy Portelas Clément Romac Katja Hofmann Pierre-Yves Oudeyer 35 8 0 16 Nov 2020
Domain-Level Explainability -- A Challenge for Creating Trust in Superhuman AI Strategies Jonas Andrulis Ole Meyer Grégory Schott Samuel Weinbach V. Gruhn 6 4 0 12 Nov 2020
Reinforcement Learning with Dual-Observation for General Video Game Playing Chengpeng Hu Ziqi Wang Tianye Shu Hao Tong Julian Togelius Xinghu Yao Jialin Liu OffRL 8 7 0 11 Nov 2020
Generalization to New Actions in Reinforcement Learning Ayush Jain Andrew Szot Joseph J. Lim AI4CE 33 34 0 03 Nov 2020
Instance based Generalization in Reinforcement Learning Martín Bertrán Natalia Martínez Mariano Phielipp Guillermo Sapiro OffRL 27 16 0 02 Nov 2020
The MAGICAL Benchmark for Robust Imitation Sam Toyer Rohin Shah Andrew Critch Stuart J. Russell 19 36 0 01 Nov 2020
One Solution is Not All You Need: Few-Shot Extrapolation via Structured MaxEnt RL Saurabh Kumar Aviral Kumar Sergey Levine Chelsea Finn OffRL 16 90 0 27 Oct 2020
Improving Generalization in Reinforcement Learning with Mixture Regularization Kaixin Wang Bingyi Kang Jie Shao Jiashi Feng 109 117 0 21 Oct 2020
Measuring Visual Generalization in Continuous Control from Pixels J. E. Grigsby Yanjun Qi 11 25 0 13 Oct 2020
Deep RL With Information Constrained Policies: Generalization in Continuous Control Ty Malloy C. Sims Tim Klinger Miao Liu Matthew D Riemer Gerald Tesauro 6 5 0 09 Oct 2020
CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning Ossama Ahmed Frederik Trauble Anirudh Goyal Alexander Neitz Yoshua Bengio Bernhard Schölkopf M. Wuthrich Stefan Bauer CML 37 120 0 08 Oct 2020
Prioritized Level Replay Minqi Jiang Edward Grefenstette Tim Rocktaschel OffRL 24 152 0 08 Oct 2020
Emergent Social Learning via Multi-agent Reinforcement Learning Kamal Ndousse Douglas Eck Sergey Levine Natasha Jaques 8 41 0 01 Oct 2020
Tasks, stability, architecture, and compute: Training more effective learned optimizers, and using them to train themselves Luke Metz Niru Maheswaranathan C. Freeman Ben Poole Jascha Narain Sohl-Dickstein 33 62 0 23 Sep 2020
AI and Wargaming J. Goodman S. Risi Simon Lucas VLM 25 12 0 18 Sep 2020
TAP-Net: Transport-and-Pack using Reinforcement Learning Huang Ruizhen XU Juzhan Bin Chen Minglun Gong Hao Zhang Hui Huang 26 25 0 03 Sep 2020
"It's Unwieldy and It Takes a Lot of Time." Challenges and Opportunities for Creating Agents in Commercial Games Mikhail Jacob Sam Devlin Katja Hofmann LLMAG AI4CE 22 16 0 01 Sep 2020
Learning explanations that are hard to vary Giambattista Parascandolo Alexander Neitz Antonio Orvieto Luigi Gresele Bernhard Schölkopf FAtt 27 178 0 01 Sep 2020
MobileVisFixer: Tailoring Web Visualizations for Mobile Phones Leveraging an Explainable Reinforcement Learning Framework Aoyu Wu Wai-Shun Tong Tim Dwyer Bongshin Lee Petra Isenberg Huamin Qu 9 37 0 15 Aug 2020
Co-generation of game levels and game-playing agents Aaron Dharna Julian Togelius Lisa Soros 19 17 0 16 Jul 2020
Task-Agnostic Exploration via Policy Gradient of a Non-Parametric State Entropy Estimate Mirco Mutti Lorenzo Pratissoli Marcello Restelli 11 19 0 09 Jul 2020