Variational Inference MPC for Bayesian Model-based Reinforcement Learning

8 July 2019

Papers citing "Variational Inference MPC for Bayesian Model-based Reinforcement Learning"

50 / 51 papers shown

Title
DR-PETS: Learning-Based Control With Planning in Adversarial Environments Hozefa Jesawada Antonio Acernese G. Russo C. D. Vecchio 62 0 0 26 Mar 2025
Guaranteeing Out-Of-Distribution Detection in Deep RL via Transition Estimation Mohit Prashant Arvind Easwaran Suman Das Michael Yuhas OffRL 61 1 0 07 Mar 2025
Design of Restricted Normalizing Flow towards Arbitrary Stochastic Policy with Computational Efficiency Taisuke Kobayashi Takumi Aotani 137 5 0 17 Dec 2024
Risk-sensitive control as inference with Rényi divergence Kaito Ito Kenji Kashima 34 1 0 04 Nov 2024
Spline-Interpolated Model Predictive Path Integral Control with Stein Variational Inference for Reactive Navigation Takato Miura Naoki Akai Kohei Honda Susumu Hara 25 4 0 16 Apr 2024
Model-based Reinforcement Learning for Parameterized Action Spaces Renhao Zhang Haotian Fu Yilin Miao G. Konidaris 26 3 0 03 Apr 2024
A Contact Model based on Denoising Diffusion to Learn Variable Impedance Control for Contact-rich Manipulation Masashi Okada Mayumi Komatsu Tadahiro Taniguchi DiffM 32 0 0 20 Mar 2024
Mind the Model, Not the Agent: The Primacy Bias in Model-based RL Zhongjian Qiao Jiafei Lyu Xiu Li 16 3 0 23 Oct 2023
Combining Sampling- and Gradient-based Planning for Contact-rich Manipulation Filippo Rozzi L. Roveda Kevin Haninger 18 3 0 07 Oct 2023
Deep Model Predictive Optimization Jacob Sacks Rwik Rana Kevin Huang Alex Spitzer Guanya Shi Byron Boots 35 7 0 06 Oct 2023
Generalized Schrödinger Bridge Matching Guan-Horng Liu Y. Lipman Maximilian Nickel Brian Karrer Evangelos A. Theodorou Ricky T. Q. Chen DiffM 29 14 0 03 Oct 2023
Stein Variational Guided Model Predictive Path Integral Control: Proposal and Experiments with Fast Maneuvering Vehicles Kohei Honda Naoki Akai Kosuke Suzuki Mizuho Aoki H. Hosogaya H. Okuda Tatsuya Suzuki 34 7 0 20 Sep 2023
Efficient Belief Road Map for Planning Under Uncertainty Zhenyang Chen Hongzhe Yu Yongxin Chen 24 0 0 17 Sep 2023
Constrained Stein Variational Trajectory Optimization Thomas Power Dmitry Berenson 33 12 0 23 Aug 2023
Probabilistic Constrained Reinforcement Learning with Formal Interpretability Yanran Wang Qiuchen Qian David E. Boyle 16 4 0 13 Jul 2023
Efficient Dynamics Modeling in Interactive Environments with Koopman Theory Arnab Kumar Mondal Siba Smarak Panigrahi Sai Rajeswar K. Siddiqi Siamak Ravanbakhsh 26 3 0 20 Jun 2023
Online Re-Planning and Adaptive Parameter Update for Multi-Agent Path Finding with Stochastic Travel Times Atsuyoshi Kita Nobuhiro Suenari Masashi Okada T. Taniguchi 11 1 0 03 Feb 2023
Efficient Preference-Based Reinforcement Learning Using Learned Dynamics Models Yi Liu Gaurav Datta Ellen R. Novoseller Daniel S. Brown 26 20 0 11 Jan 2023
A Simple Decentralized Cross-Entropy Method Zichen Zhang Jun Jin Martin Jägersand Jun-Jie Luo Dale Schuurmans 13 8 0 16 Dec 2022
Real-time Sampling-based Model Predictive Control based on Reverse Kullback-Leibler Divergence and Its Adaptive Acceleration Taisuke Kobayashi Kota Fukumoto 11 4 0 08 Dec 2022
Learning Sampling Distributions for Model Predictive Control Jacob Sacks Byron Boots 11 21 0 05 Dec 2022
Inferring Smooth Control: Monte Carlo Posterior Policy Iteration with Gaussian Processes Joe Watson Jan Peters 23 15 0 07 Oct 2022
Sparse Representation Learning with Modified q-VAE towards Minimal Realization of World Model Taisuke Kobayashi Ryoma Watanuki DRL 21 6 0 08 Aug 2022
Variational Inference MPC using Normalizing Flows and Out-of-Distribution Projection Thomas Power Dmitry Berenson 22 29 0 10 May 2022
DreamingV2: Reinforcement Learning with Discrete World Models without Reconstruction Masashi Okada T. Taniguchi 3DV OffRL 28 22 0 01 Mar 2022
Multimodal Maximum Entropy Dynamic Games Oswin So Kyle Stachowicz Evangelos A. Theodorou 26 7 0 30 Jan 2022
CEM-GD: Cross-Entropy Method with Gradient Descent Planner for Model-Based Reinforcement Learning Kevin Huang Sahin Lale Ugo Rosolia Yuanyuan Shi Anima Anandkumar 11 8 0 14 Dec 2021
ED2: Environment Dynamics Decomposition World Models for Continuous Control Jianye Hao Yifu Yuan Cong Wang Zhen Wang OffRL 8 1 0 06 Dec 2021
Active Inference in Robotics and Artificial Agents: Survey and Challenges Pablo Lanillos Cristian Meo Corrado Pezzato A. Meera Mohamed Baioumy ... Alexander Tschantz Beren Millidge M. Wisse Christopher L. Buckley Jun Tani AI4CE 29 74 0 03 Dec 2021
Applications of the Free Energy Principle to Machine Learning and Neuroscience Beren Millidge DRL 20 7 0 30 Jun 2021
Optimistic Reinforcement Learning by Forward Kullback-Leibler Divergence Optimization Taisuke Kobayashi 25 13 0 27 May 2021
Variational Inference MPC using Tsallis Divergence Ziyi Wang Oswin So Jason Gibson Bogdan I. Vlahov Manan S. Gandhi Guan-Horng Liu Evangelos A. Theodorou 13 33 0 01 Apr 2021
Co-Adaptation of Algorithmic and Implementational Innovations in Inference-based Deep Reinforcement Learning Hiroki Furuta Tadashi Kozuno T. Matsushima Y. Matsuo S. Gu 11 14 0 31 Mar 2021
Dual Online Stein Variational Inference for Control and Dynamics Lucas Barcelos Alexander Lambert Rafael Oliveira Paulo Borges Byron Boots F. Ramos 17 27 0 23 Mar 2021
A Whole Brain Probabilistic Generative Model: Toward Realizing Cognitive Architectures for Developmental Robots T. Taniguchi Hiroshi Yamakawa Takayuki Nagai Kenji Doya M. Sakagami Masahiro Suzuki Tomoaki Nakamura Akira Taniguchi 22 23 0 15 Mar 2021
Understanding the Origin of Information-Seeking Exploration in Probabilistic Objectives for Control Beren Millidge A. Seth Christopher L. Buckley 23 11 0 11 Mar 2021
Latent Skill Planning for Exploration and Transfer Kevin Xie Homanga Bharadhwaj Danijar Hafner Animesh Garg Florian Shkurti 25 20 0 27 Nov 2020
Stein Variational Model Predictive Control Alexander Lambert Adam Fishman D. Fox Byron Boots F. Ramos 6 57 0 15 Nov 2020
Bayes-Adaptive Deep Model-Based Policy Optimisation Tai Hoang Ngo Anh Vien BDL 16 1 0 29 Oct 2020
Constrained Model-based Reinforcement Learning with Robust Cross-Entropy Method Zuxin Liu Hongyi Zhou Baiming Chen Sicheng Zhong M. Hebert Ding Zhao 11 11 0 15 Oct 2020
Dreaming: Model-based Reinforcement Learning by Latent Imagination without Reconstruction Masashi Okada T. Taniguchi OffRL 24 84 0 29 Jul 2020
Control as Hybrid Inference Alexander Tschantz Beren Millidge A. Seth Christopher L. Buckley 19 9 0 11 Jul 2020
The LoCA Regret: A Consistent Metric to Evaluate Model-Based Behavior in Reinforcement Learning H. V. Seijen Hadi Nekoei Evan Racah A. Chandar OffRL 10 13 0 07 Jul 2020
Reinforcement Learning as Iterative and Amortised Inference Beren Millidge Alexander Tschantz A. Seth Christopher L. Buckley OffRL 6 3 0 13 Jun 2020
Model-Predictive Control via Cross-Entropy and Gradient-Based Optimization Homanga Bharadhwaj Kevin Xie Florian Shkurti 11 49 0 19 Apr 2020
PlaNet of the Bayesians: Reconsidering and Improving Deep Planning Network by Incorporating Bayesian Inference Masashi Okada Norio Kosaka T. Taniguchi 6 43 0 01 Mar 2020
Reinforcement Learning through Active Inference Alexander Tschantz Beren Millidge A. Seth Christopher L. Buckley AI4CE 20 69 0 28 Feb 2020
Domain-Adversarial and Conditional State Space Model for Imitation Learning Ryogo Okumura Masashi Okada T. Taniguchi 18 11 0 31 Jan 2020
The Differentiable Cross-Entropy Method Brandon Amos Denis Yarats 21 54 0 27 Sep 2019
Multi-person Pose Tracking using Sequential Monte Carlo with Probabilistic Neural Pose Predictor Masashi Okada Shinji Takenaka T. Taniguchi 20 4 0 16 Sep 2019