Task-Agnostic Dynamics Priors for Deep Reinforcement Learning

13 May 2019

Papers citing "Task-Agnostic Dynamics Priors for Deep Reinforcement Learning"

32 / 32 papers shown

Title
Prioritized Generative Replay Renhao Wang Kevin Frans Pieter Abbeel Sergey Levine Alexei A. Efros OnRL DiffM 137 3 0 23 Oct 2024
Flexible Neural Representation for Physics Prediction Damian Mrowca Chengxu Zhuang E. Wang Nick Haber Li Fei-Fei J. Tenenbaum Daniel L. K. Yamins OCL AI4CE 53 248 0 21 Jun 2018
Object-Oriented Dynamics Predictor Guangxiang Zhu Zhiao Huang Chongjie Zhang AI4CE 52 35 0 25 May 2018
Decoupling Dynamics and Reward for Transfer Learning Amy Zhang Harsh Satija Joelle Pineau OOD 35 72 0 27 Apr 2018
A Study on Overfitting in Deep Reinforcement Learning Chiyuan Zhang Oriol Vinyals Rémi Munos Samy Bengio OffRL OnRL 48 386 0 18 Apr 2018
Gotta Learn Fast: A New Benchmark for Generalization in RL Alex Nichol Vicki Pfau Christopher Hesse Oleg Klimov John Schulman VLM OffRL 34 177 0 10 Apr 2018
Model-Based Value Estimation for Efficient Model-Free Reinforcement Learning Vladimir Feinberg Alvin Wan Ion Stoica Michael I. Jordan Joseph E. Gonzalez Sergey Levine OffRL 53 317 0 28 Feb 2018
Investigating Human Priors for Playing Video Games Rachit Dubey Pulkit Agrawal Deepak Pathak Thomas Griffiths Alexei A. Efros OffRL 71 146 0 28 Feb 2018
Eigenoption Discovery through the Deep Successor Representation Marlos C. Machado Clemens Rosenbaum Xiaoxiao Guo Miao Liu Gerald Tesauro Murray Campbell 54 139 0 30 Oct 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 63 549 0 18 Sep 2017
Independently Controllable Factors Valentin Thomas Jules Pondard Emmanuel Bengio Marc Sarfati Philippe Beaudoin Marie-Jean Meurs Joelle Pineau Doina Precup Yoshua Bengio CML 53 69 0 03 Aug 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 243 18,685 0 20 Jul 2017
Imagination-Augmented Agents for Deep Reinforcement Learning T. Weber S. Racanière David P. Reichert Lars Buesing A. Guez ... Razvan Pascanu Peter W. Battaglia Demis Hassabis David Silver Daan Wierstra LM&Ro 70 552 0 19 Jul 2017
Hashing over Predicted Future Frames for Informed Exploration of Deep Reinforcement Learning Haiyan Yin Jianda Chen Sinno Jialin Pan 26 5 0 03 Jul 2017
Short-Term Forecasting of Passenger Demand under On-Demand Ride Services: A Spatio-Temporal Deep Learning Approach Jintao Ke Hongyu Zheng Hai Yang Xiqun X. Chen AI4TS 40 601 0 20 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 65 233 0 14 Jun 2017
Curiosity-driven Exploration by Self-supervised Prediction Deepak Pathak Pulkit Agrawal Alexei A. Efros Trevor Darrell LRM SSL 96 2,423 0 15 May 2017
Neural Map: Structured Memory for Deep Reinforcement Learning Emilio Parisotto Ruslan Salakhutdinov 54 258 0 27 Feb 2017
Interaction Networks for Learning about Objects, Relations and Physics Peter W. Battaglia Razvan Pascanu Matthew Lai Danilo Jimenez Rezende Koray Kavukcuoglu AI4CE OCL PINN GNN 457 1,405 0 01 Dec 2016
Successor Features for Transfer in Reinforcement Learning André Barreto Will Dabney Rémi Munos Jonathan J. Hunt Tom Schaul H. V. Hasselt David Silver 33 566 0 16 Jun 2016
Deep Successor Reinforcement Learning Tejas D. Kulkarni A. Saeedi Simanta Gautam S. Gershman 47 208 0 08 Jun 2016
Unsupervised Learning for Physical Interaction through Video Prediction Chelsea Finn Ian Goodfellow Sergey Levine 65 1,042 0 23 May 2016
ViZDoom: A Doom-based AI Research Platform for Visual Reinforcement Learning Michal Kempka Marek Wydmuch Grzegorz Runc Jakub Toczek Wojciech Ja'skowski 53 695 0 06 May 2016
Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs) Djork-Arné Clevert Thomas Unterthiner Sepp Hochreiter 220 5,502 0 23 Nov 2015
Spatio-temporal video autoencoder with differentiable memory Viorica Patraucean Ankur Handa R. Cipolla 68 307 0 19 Nov 2015
Deep multi-scale video prediction beyond mean square error Michaël Mathieu Camille Couprie Yann LeCun GAN 109 1,880 0 17 Nov 2015
Model-based Reinforcement Learning with Parametrized Physical Models and Optimism-Driven Exploration Christopher Xie S. Patil T. Moldovan Sergey Levine Pieter Abbeel 33 48 0 23 Sep 2015
Action-Conditional Video Prediction using Deep Networks in Atari Games Junhyuk Oh Xiaoxiao Guo Honglak Lee Richard L. Lewis Satinder Singh 85 852 0 31 Jul 2015
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 471 7,952 0 13 Jun 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 900 149,474 0 22 Dec 2014
Playing Atari with Deep Reinforcement Learning Volodymyr Mnih Koray Kavukcuoglu David Silver Alex Graves Ioannis Antonoglou Daan Wierstra Martin Riedmiller 103 12,163 0 19 Dec 2013
The Arcade Learning Environment: An Evaluation Platform for General Agents Marc G. Bellemare Yavar Naddaf J. Veness Michael Bowling 82 2,992 0 19 Jul 2012