Quantifying Generalization in Reinforcement Learning

6 December 2018

Papers citing "Quantifying Generalization in Reinforcement Learning"

50 / 397 papers shown

Title
Towards a practical measure of interference for reinforcement learning Vincent Liu Adam White Hengshuai Yao Martha White 10 5 0 07 Jul 2020
Deep Reinforcement Learning and its Neuroscientific Implications M. Botvinick Jane X. Wang Will Dabney Kevin J. Miller Z. Kurth-Nelson OffRL AI4CE 28 169 0 07 Jul 2020
Counterfactual Data Augmentation using Locally Factored Dynamics Silviu Pitis Elliot Creager Animesh Garg BDL OffRL 26 85 0 06 Jul 2020
Discount Factor as a Regularizer in Reinforcement Learning Ron Amit Ron Meir K. Ciosek OffRL 22 71 0 04 Jul 2020
Strategies for Using Proximal Policy Optimization in Mobile Puzzle Games J. Kristensen Paolo Burelli OffRL 12 14 0 03 Jul 2020
Group Equivariant Deep Reinforcement Learning Arnab Kumar Mondal Pratheeksha Nair Kaleem Siddiqi 17 31 0 01 Jul 2020
MDP Homomorphic Networks: Group Symmetries in Reinforcement Learning Elise van der Pol Daniel E. Worrall H. V. Hoof F. Oliehoek Max Welling BDL AI4CE 31 155 0 30 Jun 2020
The NetHack Learning Environment Heinrich Küttler Nantas Nardelli Alexander H. Miller Roberta Raileanu Marco Selvatici Edward Grefenstette Tim Rocktaschel 28 177 0 24 Jun 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
A Brief Look at Generalization in Visual Meta-Reinforcement Learning Safa Alver Doina Precup OffRL 17 9 0 12 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
OpEvo: An Evolutionary Method for Tensor Operator Optimization Xiaotian Gao C. Wei Lintao Zhang Mao Yang 11 3 0 10 Jun 2020
Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning Shariq Iqbal Christian Schroeder de Witt Bei Peng Wendelin Bohmer Shimon Whiteson Fei Sha 29 64 0 07 Jun 2020
Deep Reinforcement Learning for Human-Like Driving Policies in Collision Avoidance Tasks of Self-Driving Cars Ran Emuna A. Borowsky Armin Biess 42 22 0 07 Jun 2020
Visual Transfer for Reinforcement Learning via Wasserstein Domain Confusion Josh Roy George Konidaris 14 16 0 04 Jun 2020
Invariant Policy Optimization: Towards Stronger Generalization in Reinforcement Learning Anoopkumar Sonar Vincent Pacelli Anirudha Majumdar 18 53 0 01 Jun 2020
MOPO: Model-based Offline Policy Optimization Tianhe Yu G. Thomas Lantao Yu Stefano Ermon James Zou Sergey Levine Chelsea Finn Tengyu Ma OffRL 25 754 0 27 May 2020
Gradient Monitored Reinforcement Learning Mohammed Sharafath Abdul Hameed Gavneet Singh Chadha Andreas Schwung S. Ding 33 10 0 25 May 2020
Evaluating Generalisation in General Video Game Playing Martin Balla Simon Lucas Diego Perez-Liebana 6 2 0 22 May 2020
Learning Transferable Concepts in Deep Reinforcement Learning Diego Gomez Nicanor Quijano Luis Felipe Giraldo CLL SSL 13 0 0 16 May 2020
From Simulation to Real World Maneuver Execution using Deep Reinforcement Learning Alessandro Paolo Capasso Giulio Bacchiani A. Broggi 20 4 0 13 May 2020
Navigating the Landscape of Multiplayer Games Shayegan Omidshafiei K. Tuyls Wojciech M. Czarnecki Francisco C. Santos Mark Rowland ... Paul Muller Julien Perolat Bart De Vylder A. Gruslys Rémi Munos 21 2 0 04 May 2020
Reinforcement Learning with Augmented Data Michael Laskin Kimin Lee Adam Stooke Lerrel Pinto Pieter Abbeel A. Srinivas OffRL 20 647 0 30 Apr 2020
Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels Ilya Kostrikov Denis Yarats Rob Fergus OffRL 45 771 0 28 Apr 2020
Reinforcement Learning Generalization with Surprise Minimization Jerry Zikun Chen OOD 19 19 0 26 Apr 2020
Zero-Shot Compositional Policy Learning via Language Grounding Tianshi Cao Jingkang Wang Yining Zhang S. Manivasagam LM&Ro 34 1 0 15 Apr 2020
Extrapolation in Gridworld Markov-Decision Processes Eugene Charniak 9 0 0 14 Apr 2020
Meta-Learning in Neural Networks: A Survey Timothy M. Hospedales Antreas Antoniou P. Micaelli Amos Storkey OOD 85 1,935 0 11 Apr 2020
Obstacle Tower Without Human Demonstrations: How Far a Deep Feed-Forward Network Goes with Reinforcement Learning Marco Pleines J. Jitsev Mike Preuss Frank Zimmer 25 2 0 01 Apr 2020
Neuroevolution of Self-Interpretable Agents Yujin Tang Duong Nguyen David R Ha 26 111 0 18 Mar 2020
Interference and Generalization in Temporal Difference Learning Emmanuel Bengio Joelle Pineau Doina Precup 18 59 0 13 Mar 2020
Sample Efficient Reinforcement Learning through Learning from Demonstrations in Minecraft Christian Scheller Yanick Schraner Manfred Vogel 13 27 0 12 Mar 2020
Invariant Causal Prediction for Block MDPs Amy Zhang Clare Lyle Shagun Sodhani Angelos Filos Marta Z. Kwiatkowska Joelle Pineau Y. Gal Doina Precup OffRL AI4CE OOD 37 139 0 12 Mar 2020
Automatic Curriculum Learning For Deep RL: A Short Survey Rémy Portelas Cédric Colas Lilian Weng Katja Hofmann Pierre-Yves Oudeyer ODL 19 168 0 10 Mar 2020
RIDE: Rewarding Impact-Driven Exploration for Procedurally-Generated Environments Roberta Raileanu Tim Rocktaschel 8 170 0 27 Feb 2020
Using a thousand optimization tasks to learn hyperparameter search strategies Luke Metz Niru Maheswaranathan Ruoxi Sun C. Freeman Ben Poole Jascha Narain Sohl-Dickstein 20 45 0 27 Feb 2020
CybORG: An Autonomous Cyber Operations Research Gym Callum Baillie Maxwell Standen Jonathon Schwartz Michael Docking David Bowman Junae Kim 6 26 0 25 Feb 2020
Guided Constrained Policy Optimization for Dynamic Quadrupedal Robot Locomotion Siddhant Gangapurwala Alexander L. Mitchell Ioannis Havoutis 24 54 0 22 Feb 2020
Investigating Simple Object Representations in Model-Free Deep Reinforcement Learning Guy Davidson Brenden M. Lake OCL OffRL 19 10 0 16 Feb 2020
Follow the Neurally-Perturbed Leader for Adversarial Training Ari Azarafrooz 11 0 0 16 Feb 2020
Resource Management in Wireless Networks via Multi-Agent Deep Reinforcement Learning Navid Naderializadeh J. Sydir M. Simsek Hosein Nikopour 26 121 0 14 Feb 2020
Adapting to Unseen Environments through Explicit Representation of Context C. Tutum Risto Miikkulainen 6 0 0 13 Feb 2020
Learning to Generate Levels From Nothing Philip Bontrager Julian Togelius GAN 15 21 0 12 Feb 2020
Rotation, Translation, and Cropping for Zero-Shot Generalization Chang Ye Ahmed Khalifa Philip Bontrager Julian Togelius 32 38 0 27 Jan 2020
Towards Practical Multi-Object Manipulation using Relational Reinforcement Learning R. Li Allan Jabri Trevor Darrell Pulkit Agrawal OffRL 21 111 0 23 Dec 2019
A Survey of Deep Reinforcement Learning in Video Games Kun Shao Zhentao Tang Yuanheng Zhu Nannan Li Dongbin Zhao OffRL AI4TS 43 188 0 23 Dec 2019
Uncertainty-sensitive Learning and Planning with Ensembles Piotr Milo's Lukasz Kuciñski K. Czechowski Piotr Kozakowski Maciek Klimek OffRL 18 8 0 19 Dec 2019
Relational Mimic for Visual Adversarial Imitation Learning Lionel Blondé Yichuan Tang Jian Zhang Russ Webb 33 0 0 18 Dec 2019
Analysing Deep Reinforcement Learning Agents Trained with Domain Randomisation Tianhong Dai Kai Arulkumaran Tamara Gerbert Samyakh Tukra Feryal M. P. Behbahani Anil Anthony Bharath 17 27 0 18 Dec 2019
Dota 2 with Large Scale Deep Reinforcement Learning OpenAI OpenAI : Christopher Berner Greg Brockman Brooke Chan ... Szymon Sidor Ilya Sutskever Jie Tang Filip Wolski Susan Zhang GNN VLM CLL AI4CE LRM 46 1,795 0 13 Dec 2019