Papers citing 'Deep Variational Reinforcement Learning for POMDPs'

Title
Learning Belief Representations for Imitation Learning in POMDPsConference on Uncertainty in Artificial Intelligence (UAI), 2019 Tanmay Gangwani Joel Lehman Qiang Liu Jian Peng 115 40 0 22 Jun 2019
Shaping Belief States with Generative Environment Models for RLNeural Information Processing Systems (NeurIPS), 2019 Karol Gregor Danilo Jimenez Rezende F. Besse Yan Wu Hamza Merzic Aaron van den Oord OffRL AI4CE 253 120 0 21 Jun 2019
Particle Filter Recurrent Neural NetworksAAAI Conference on Artificial Intelligence (AAAI), 2019 Xiao Ma Peter Karkus David Hsu Wee Sun Lee 150 89 0 30 May 2019
Optimizing Sequential Medical Treatments with Auto-Encoding Heuristic Search in POMDPs Luchen Li Matthieu Komorowski Aldo A. Faisal OffRL 166 14 0 17 May 2019
Meta reinforcement learning as task inference Jan Humplik Alexandre Galashov Leonard Hasenclever Pedro A. Ortega Yee Whye Teh N. Heess OffRL 207 133 0 15 May 2019
Safe Reinforcement Learning with Scene Decomposition for Navigating Complex Urban Environments Maxime Bouton A. Nakhaei K. Fujimura Mykel J. Kochenderfer 91 82 0 25 Apr 2019
Efficient Off-Policy Meta-Reinforcement Learning via Probabilistic Context VariablesInternational Conference on Machine Learning (ICML), 2019 Kate Rakelly Aurick Zhou Deirdre Quillen Chelsea Finn Sergey Levine OffRL 154 715 0 19 Mar 2019
Joint Perception and Control as Inference with an Object-based Implementation Minne Li Zheng Tian Pranav Nashikkar Ian Davies Ying Wen Jun Wang 181 2 0 04 Mar 2019
Fast Efficient Hyperparameter Tuning for Policy Gradients Supratik Paul Vitaly Kurin Shimon Whiteson 104 33 0 18 Feb 2019
Robust Reinforcement Learning in POMDPs with Incomplete and Noisy Observations Yuhui Wang Hao He Xiaoyang Tan 75 13 0 15 Feb 2019
Credit Assignment Techniques in Stochastic Computation Graphs T. Weber N. Heess Lars Buesing David Silver 125 47 0 07 Jan 2019
Neural Predictive Belief Representations Z. Guo M. G. Azar Bilal Piot Bernardo Avila-Pires Rémi Munos SSL 166 81 0 15 Nov 2018
Bayesian Reinforcement Learning in Factored POMDPs Sammie Katt F. Oliehoek Chris Amato 113 41 0 14 Nov 2018
Learning Latent Dynamics for Planning from Pixels Danijar Hafner Timothy Lillicrap Ian S. Fischer Ruben Villegas David R Ha Honglak Lee James Davidson BDL 491 1,596 0 12 Nov 2018
Bayesian Policy Optimization for Model Uncertainty Gilwoo Lee Brian Hou Aditya Mandalika Jeongseok Lee Sanjiban Choudhury S. Srinivasa 211 42 0 01 Oct 2018
Learning to Drive in a DayIEEE International Conference on Robotics and Automation (ICRA), 2018 Alex Kendall Jeffrey Hawke David Janz Przemyslaw Mazur Daniele Reda John M. Allen Vinh-Dieu Lam Alex Bewley Amar Shah 208 720 0 01 Jul 2018
Temporal Difference Variational Auto-Encoder Karol Gregor George Papamakarios F. Besse Lars Buesing Theophane Weber DRL 202 130 0 08 Jun 2018