Quantifying Generalization in Reinforcement Learning

6 December 2018

Papers citing "Quantifying Generalization in Reinforcement Learning"

47 / 397 papers shown

Title
Learning Improvement Heuristics for Solving Routing Problems Yaoxin Wu Wen Song Zhiguang Cao Jie Zhang Andrew Lim 39 281 0 12 Dec 2019
Observational Overfitting in Reinforcement Learning Xingyou Song Yiding Jiang Stephen Tu Yilun Du Behnam Neyshabur OffRL 33 138 0 06 Dec 2019
Leveraging Procedural Generation to Benchmark Reinforcement Learning K. Cobbe Christopher Hesse Jacob Hilton John Schulman 45 541 0 03 Dec 2019
Increasing Generality in Machine Learning through Procedural Content Generation S. Risi Julian Togelius 26 124 0 29 Nov 2019
Simulation-based reinforcement learning for real-world autonomous driving B. Osinski Adam Jakubowski Piotr Milos Pawel Ziecina Christopher Galias S. Homoceanu Henryk Michalewski 35 122 0 29 Nov 2019
DeepRacer: Educational Autonomous Racing Platform for Experimentation with Sim2Real Reinforcement Learning Bharathan Balaji S. Mallya Sahika Genc Saurabh Gupta Leo Dirac ... Yunzhe Tao Brian Townsend E. Calleja Sunil Muralidhara Dhanasekar Karuppasamy 19 56 0 05 Nov 2019
Generalization of Reinforcement Learners with Working and Episodic Memory Meire Fortunato Melissa Tan Ryan Faulkner Steven Hansen Adria Puigdomenech Badia Gavin Buttimore Charlie Deck Joel Z Leibo Charles Blundell 24 70 0 29 Oct 2019
Generalization in Reinforcement Learning with Selective Noise Injection and Information Bottleneck Maximilian Igl K. Ciosek Yingzhen Li Sebastian Tschiatschek Cheng Zhang Sam Devlin Katja Hofmann OffRL 17 170 0 28 Oct 2019
Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning Tianhe Yu Deirdre Quillen Zhanpeng He Ryan Julian Avnish Narayan Hayden Shively Adithya Bellathur Karol Hausman Chelsea Finn Sergey Levine OffRL 92 1,128 0 24 Oct 2019
Robust Visual Domain Randomization for Reinforcement Learning Reda Bahi Slaoui W. Clements Jakob N. Foerster Sébastien Toth OOD 8 12 0 23 Oct 2019
HIGhER : Improving instruction following with Hindsight Generation for Experience Replay Geoffrey Cideron Mathieu Seurin Florian Strub Olivier Pietquin 26 37 0 21 Oct 2019
Regularization Matters in Policy Optimization Zhuang Liu Xuanlin Li Bingyi Kang Trevor Darrell OffRL 20 33 0 21 Oct 2019
Wield: Systematic Reinforcement Learning With Progressive Randomization Michael Schaarschmidt Kai Fricke Eiko Yoneki 14 2 0 15 Sep 2019
The Animal-AI Environment: Training and Testing Animal-Like Artificial Cognition Benjamin Beyret José Hernández-Orallo Lucy G. Cheke Marta Halina Murray Shanahan Matthew Crosby 17 35 0 12 Sep 2019
Generalization in Transfer Learning S. E. Ada Emre Ugur H. L. Akin 27 17 0 03 Sep 2019
Interactive Language Learning by Question Answering Xingdi Yuan Marc-Alexandre Côté Jie Fu Zhouhan Lin C. Pal Yoshua Bengio Adam Trischler 13 46 0 28 Aug 2019
Rapid trial-and-error learning with simulation supports flexible tool use and physical reasoning Kelsey R. Allen Kevin A. Smith J. Tenenbaum LRM 31 108 0 22 Jul 2019
Reasoning and Generalization in RL: A Tool Use Perspective Sam Wenke D. Saunders Mike Qiu J. Fleming OffRL LRM 13 5 0 03 Jul 2019
Generalizing from a few environments in safety-critical reinforcement learning Zachary Kenton Angelos Filos Owain Evans Y. Gal 8 16 0 02 Jul 2019
Generalization to Novel Objects using Prior Relational Knowledge V. Vijay Abhinav Ganesh Hanlin Tang Arjun K. Bansal GNN 19 6 0 26 Jun 2019
Evolutionary Computation and AI Safety: Research Problems Impeding Routine and Safe Real-world Application of Evolution Joel Lehman 4 7 0 24 Jun 2019
Playing the lottery with rewards and multiple languages: lottery tickets in RL and NLP Haonan Yu Sergey Edunov Yuandong Tian Ari S. Morcos 24 148 0 06 Jun 2019
Neuropathic Pain Diagnosis Simulator for Causal Discovery Algorithm Evaluation Ruibo Tu Kun Zhang Bo Christer Bertilson Hedvig Kjellström Cheng Zhang OOD CML 19 38 0 04 Jun 2019
Off-Policy Evaluation via Off-Policy Classification A. Irpan Kanishka Rao Konstantinos Bousmalis Chris Harris Julian Ibarz Sergey Levine OffRL 11 50 0 04 Jun 2019
Options as responses: Grounding behavioural hierarchies in multi-agent RL A. Vezhnevets Yuhuai Wu Rémi Leblond Joel Z Leibo AI4CE 18 17 0 04 Jun 2019
Unsupervised Emergence of Egocentric Spatial Structure from Sensorimotor Prediction Alban Laflaquière Michael Garcia Ortiz 24 6 0 04 Jun 2019
An Empirical Study on Hyperparameters and their Interdependence for RL Generalization Xingyou Song Yilun Du Jacob Jackson AI4CE 24 8 0 02 Jun 2019
The Principle of Unchanged Optimality in Reinforcement Learning Generalization A. Irpan Xingyou Song OffRL 33 7 0 02 Jun 2019
Towards Finding Longer Proofs Zsolt Zombori Adrián Csiszárik Henryk Michalewski C. Kaliszyk Josef Urban OffRL LRM 29 15 0 30 May 2019
On the Generalization Gap in Reparameterizable Reinforcement Learning Huan Wang Stephan Zheng Caiming Xiong R. Socher 9 39 0 29 May 2019
Continual Reinforcement Learning in 3D Non-stationary Environments Vincenzo Lomonaco Karan Desai Eugenio Culurciello Davide Maltoni OffRL 23 41 0 24 May 2019
Perceptual Values from Observation Ashley D. Edwards Charles Isbell OffRL SSL 27 16 0 20 May 2019
Toybox: A Suite of Environments for Experimental Evaluation of Deep Reinforcement Learning Emma Tosch Kaleigh Clary John Foley David D. Jensen OffRL 17 9 0 07 May 2019
Deep Neuroevolution of Recurrent and Discrete World Models S. Risi Kenneth O. Stanley OCL 12 53 0 28 Apr 2019
Rogue-Gym: A New Challenge for Generalization in Reinforcement Learning Yuji Kanagawa Tomoyuki Kaneko 21 12 0 17 Apr 2019
Active Domain Randomization Bhairav Mehta Manfred Diaz Florian Golemo C. Pal Liam Paull 24 256 0 09 Apr 2019
Only Relevant Information Matters: Filtering Out Noisy Samples to Boost RL Yannis Flet-Berliac Philippe Preux 6 2 0 08 Apr 2019
Distributionally Robust Reinforcement Learning E. Smirnova Elvis Dohmatob Jérémie Mary OffRL 23 58 0 23 Feb 2019
Learning to Generalize from Sparse and Underspecified Rewards Rishabh Agarwal Chen Liang Dale Schuurmans Mohammad Norouzi OffRL 54 97 0 19 Feb 2019
Investigating Generalisation in Continuous Deep Reinforcement Learning Chenyang Zhao Olivier Sigaud F. Stulp Timothy M. Hospedales OffRL 22 48 0 19 Feb 2019
Obstacle Tower: A Generalization Challenge in Vision, Control, and Planning Arthur Juliani Ahmed Khalifa Vincent-Pierre Berges Jonathan Harper Ervin Teng Hunter Henry A. Crespi Julian Togelius Danny Lange 20 143 0 04 Feb 2019
An investigation of model-free planning A. Guez M. Berk Mirza Karol Gregor Rishabh Kabra S. Racanière ... Laurent Orseau Tom Eccles Greg Wayne David Silver Timothy Lillicrap OffRL 25 111 0 11 Jan 2019
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 27 203 0 29 Sep 2018
Unity: A General Platform for Intelligent Agents Arthur Juliani Vincent-Pierre Berges Esh Vckay Andrew Cohen Jonathan Harper ... Chris Goy Yuan Gao Hunter Henry Marwan Mattar Danny Lange 16 808 0 07 Sep 2018
Imitating Latent Policies from Observation Ashley D. Edwards Himanshu Sahni Yannick Schroecker Charles Isbell 34 137 0 21 May 2018
Lifelong Generative Modeling Jason Ramapuram Magda Gregorova Alexandros Kalousis BDL CLL 24 119 0 27 May 2017