Control as Hybrid Inference

11 July 2020

Alexander Tschantz

Beren Millidge

A. Seth

Christopher L. Buckley

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Papers citing "Control as Hybrid Inference"

24 / 24 papers shown

Title
Predictive Coding, Variational Autoencoders, and Biological Connections Joseph Marino DRL AI4CE 53 43 0 15 Nov 2020
Robot Playing Kendama with Model-Based and Model-Free Reinforcement Learning Shidi Li 52 6 0 15 Mar 2020
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 393 10,591 0 17 Feb 2020
Scaling active inference Alexander Tschantz Manuel Baltieri A. Seth Christopher L. Buckley BDL AI4CE 42 69 0 24 Nov 2019
If MaxEnt RL is the Answer, What is the Question? Benjamin Eysenbach Sergey Levine 66 58 0 04 Oct 2019
Variational Inference MPC for Bayesian Model-based Reinforcement Learning Masashi Okada T. Taniguchi 75 77 0 08 Jul 2019
Exploring Model-based Planning with Policy Networks Tingwu Wang Jimmy Ba 84 149 0 20 Jun 2019
Combining Generative and Discriminative Models for Hybrid Inference Victor Garcia Satorras Zeynep Akata Max Welling 59 56 0 06 Jun 2019
Training Variational Autoencoders with Buffered Stochastic Variational Inference Rui Shu Hung Bui Jay Whang Stefano Ermon BDL 26 3 0 27 Feb 2019
A General Method for Amortizing Variational Filtering Joseph Marino Milan Cvitkovic Yisong Yue 75 34 0 13 Nov 2018
Iterative Amortized Inference Joseph Marino Yisong Yue Stephan Mandt BDL DRL 70 167 0 24 Jul 2018
Maximum a Posteriori Policy Optimisation A. Abdolmaleki Jost Tobias Springenberg Yuval Tassa Rémi Munos N. Heess Martin Riedmiller 71 477 0 14 Jun 2018
Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models Kurtland Chua Roberto Calandra R. McAllister Sergey Levine BDL 224 1,281 0 30 May 2018
Reinforcement Learning and Control as Probabilistic Inference: Tutorial and Review Sergey Levine AI4CE BDL 80 672 0 02 May 2018
Model-Ensemble Trust-Region Policy Optimization Thanard Kurutach I. Clavera Yan Duan Aviv Tamar Pieter Abbeel 84 452 0 28 Feb 2018
Semi-Amortized Variational Autoencoders Yoon Kim Sam Wiseman Andrew C. Miller David Sontag Alexander M. Rush BDL DRL 135 243 0 07 Feb 2018
Inference Suboptimality in Variational Autoencoders Chris Cremer Xuechen Li David Duvenaud DRL BDL 133 283 0 10 Jan 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine 309 8,352 0 04 Jan 2018
On the challenges of learning with inference networks on sparse, high-dimensional data Rahul G. Krishnan Dawen Liang Matthew Hoffman CML BDL 76 85 0 17 Oct 2017
Neural Network Dynamics for Model-Based Deep Reinforcement Learning with Model-Free Fine-Tuning Anusha Nagabandi G. Kahn R. Fearing Sergey Levine 91 974 0 08 Aug 2017
Combining Model-Based and Model-Free Updates for Trajectory-Centric Reinforcement Learning Yevgen Chebotar Karol Hausman Marvin Zhang Gaurav Sukhatme S. Schaal Sergey Levine 68 160 0 08 Mar 2017
Bridging the Gap Between Value and Policy Based Reinforcement Learning Ofir Nachum Mohammad Norouzi Kelvin Xu Dale Schuurmans 158 472 0 28 Feb 2017
Continuous Deep Q-Learning with Model-based Acceleration S. Gu Timothy Lillicrap Ilya Sutskever Sergey Levine 91 1,013 0 02 Mar 2016
Stochastic Variational Inference Matt Hoffman David M. Blei Chong-Jun Wang John Paisley BDL 259 2,622 0 29 Jun 2012