Title
Of Mice and Machines: A Comparison of Learning Between Real World Mice and RL Agents Shuo Han German Espinosa Junda Huang D. Dombeck Malcolm A. MacIver Bradly C. Stadie 88 0 0 18 May 2025
Probabilistic Shielding for Safe Reinforcement Learning Edwin Hamel-De le Court Francesco Belardinelli Alex W. Goodall 70 0 0 09 Mar 2025
On-line Policy Improvement using Monte-Carlo Search Gerald Tesauro Gregory R. Galperin 116 270 0 09 Jan 2025
Representation Matters: Offline Pretraining for Sequential Decision Making Mengjiao Yang Ofir Nachum SSL OffRL 78 119 0 11 Feb 2021
Deep Model-Based Reinforcement Learning for High-Dimensional Problems, a Survey Aske Plaat W. Kosters Mike Preuss BDL OffRL 84 17 0 11 Aug 2020
Learning model-based planning from scratch Razvan Pascanu Yujia Li Oriol Vinyals N. Heess Lars Buesing S. Racanière David P. Reichert T. Weber Daan Wierstra Peter W. Battaglia LM&Ro 99 98 0 19 Jul 2017
Value Prediction Network Junhyuk Oh Satinder Singh Honglak Lee 74 333 0 11 Jul 2017
Imitation from Observation: Learning to Imitate Behaviors from Raw Video via Context Translation YuXuan Liu Abhishek Gupta Pieter Abbeel Sergey Levine 96 378 0 11 Jul 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 69 233 0 14 Jun 2017
Model-Based Planning with Discrete and Continuous Actions Mikael Henaff William F. Whitney Yann LeCun 61 16 0 19 May 2017
Metacontrol for Adaptive Imagination-Based Optimization Jessica B. Hamrick A. J. Ballard Razvan Pascanu Oriol Vinyals N. Heess Peter W. Battaglia 62 69 0 07 May 2017
Recurrent Environment Simulators Silvia Chiappa S. Racanière Daan Wierstra S. Mohamed 62 209 0 07 Apr 2017
Goal-Driven Dynamics Learning via Bayesian Optimization Somil Bansal Roberto Calandra Ted Xiao Sergey Levine Claire Tomlin 51 113 0 27 Mar 2017
Virtual vs. Real: Trading Off Simulations and Physical Experiments in Reinforcement Learning with Bayesian Optimization A. Marco Felix Berkenkamp Philipp Hennig Angela P. Schoellig Andreas Krause S. Schaal Sebastian Trimpe 43 127 0 03 Mar 2017
The Predictron: End-To-End Learning and Planning David Silver H. V. Hasselt Matteo Hessel Tom Schaul A. Guez ... Gabriel Dulac-Arnold David P. Reichert Neil C. Rabinowitz André Barreto T. Degris 62 291 0 28 Dec 2016
A Deep Learning Approach for Joint Video Frame and Reward Prediction in Atari Games Felix Leibfried Nate Kushman Katja Hofmann 132 43 0 21 Nov 2016
Reinforcement Learning with Unsupervised Auxiliary Tasks Max Jaderberg Volodymyr Mnih Wojciech M. Czarnecki Tom Schaul Joel Z Leibo David Silver Koray Kavukcuoglu SSL 78 1,228 0 16 Nov 2016
Learning to Navigate in Complex Environments Piotr Wojciech Mirowski Razvan Pascanu Fabio Viola Hubert Soyer Andy Ballard ... Ross Goroshin Laurent Sifre Koray Kavukcuoglu D. Kumaran R. Hadsell 91 880 0 11 Nov 2016
Transfer from Simulation to Real World through Learning Deep Inverse Dynamics Model Paul Christiano Zain Shah Igor Mordatch Jonas Schneider T. Blackwell Joshua Tobin Pieter Abbeel Wojciech Zaremba PINN 55 250 0 11 Oct 2016
Deep Visual Foresight for Planning Robot Motion Chelsea Finn Sergey Levine 111 783 0 03 Oct 2016
Adaptive Computation Time for Recurrent Neural Networks Alex Graves 82 545 0 29 Mar 2016
Continuous Deep Q-Learning with Model-based Acceleration S. Gu Timothy Lillicrap Ilya Sutskever Sergey Levine 86 1,010 0 02 Mar 2016
Value Iteration Networks Aviv Tamar Yi Wu G. Thomas Sergey Levine Pieter Abbeel 73 653 0 09 Feb 2016
Asynchronous Methods for Deep Reinforcement Learning Volodymyr Mnih Adria Puigdomenech Badia M. Berk Mirza Alex Graves Timothy Lillicrap Tim Harley David Silver Koray Kavukcuoglu 189 8,833 0 04 Feb 2016
On Learning to Think: Algorithmic Information Theory for Novel Combinations of Reinforcement Learning Controllers and Recurrent Neural World Models Jürgen Schmidhuber 54 104 0 30 Nov 2015
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 298 13,214 0 09 Sep 2015
Action-Conditional Video Prediction using Deep Networks in Atari Games Junhyuk Oh Xiaoxiao Guo Honglak Lee Richard L. Lewis Satinder Singh 103 852 0 31 Jul 2015
Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images Manuel Watter Jost Tobias Springenberg Joschka Boedecker Martin Riedmiller BDL 60 844 0 24 Jun 2015
Gradient Estimation Using Stochastic Computation Graphs John Schulman N. Heess T. Weber Pieter Abbeel OffRL 133 392 0 17 Jun 2015
Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks Samy Bengio Oriol Vinyals Navdeep Jaitly Noam M. Shazeer 133 2,031 0 09 Jun 2015
Trust Region Policy Optimization John Schulman Sergey Levine Philipp Moritz Michael I. Jordan Pieter Abbeel 265 6,755 0 19 Feb 2015
Playing Atari with Deep Reinforcement Learning Volodymyr Mnih Koray Kavukcuoglu David Silver Alex Graves Ioannis Antonoglou Daan Wierstra Martin Riedmiller 114 12,201 0 19 Dec 2013
Universal Intelligence: A Definition of Machine Intelligence Shane Legg Marcus Hutter 96 640 0 20 Dec 2007