A Pontryagin Perspective on Reinforcement Learning

28 May 2024

Papers citing "A Pontryagin Perspective on Reinforcement Learning"

14 / 14 papers shown

Title
Probabilistic Pontryagin's Maximum Principle for Continuous-Time Model-Based Reinforcement Learning D. Leeftink Çağatay Yıldız Steffen Ridderbusch Max Hinne Marcel van Gerven 56 0 0 03 Apr 2025
GVFs in the Real World: Making Predictions Online for Water Treatment Muhammad Kamran Janjua Haseeb Shah Martha White Erfan Miahi Marlos C. Machado Adam White AI4CE 50 8 0 04 Dec 2023
Myriad: a real-world testbed to bridge trajectory optimization and deep learning Nikolaus H. R. Howe Simon Dufort-Labbé Nitarshan Rajkumar Pierre-Luc Bacon 42 5 0 22 Feb 2022
Deep physical neural networks enabled by a backpropagation algorithm for arbitrary physical systems Logan G. Wright Tatsuhiro Onodera Martin M. Stein Tianyu Wang Darren T. Schachter Zoey Hu Peter L. McMahon PINN AI4CE 62 483 0 27 Apr 2021
Implicit energy regularization of neural ordinary-differential-equation control Lucas Böttcher Nino Antulov-Fantulin Thomas Asikis 36 68 0 11 Mar 2021
Sample-efficient Cross-Entropy Method for Real-time Planning Cristina Pinneri Shambhuraj Sawant Sebastian Blaes Jan Achterhold Joerg Stueckler Michal Rolínek Georg Martius 44 99 0 14 Aug 2020
Pontryagin Differentiable Programming: An End-to-End Learning and Control Framework Wanxin Jin Zhaoran Wang Zhuoran Yang Shaoshuai Mou 49 78 0 30 Dec 2019
Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervision Michael Niemeyer L. Mescheder Michael Oechsle Andreas Geiger 3DH 3DV 60 989 0 16 Dec 2019
Soft Actor-Critic Algorithms and Applications Tuomas Haarnoja Aurick Zhou Kristian Hartikainen George Tucker Sehoon Ha ... Vikash Kumar Henry Zhu Abhishek Gupta Pieter Abbeel Sergey Levine 108 2,391 0 13 Dec 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 73 1,416 0 12 Nov 2018
A Tour of Reinforcement Learning: The View from Continuous Control Benjamin Recht 56 623 0 25 Jun 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine 229 8,236 0 04 Jan 2018
Training Deep Spiking Neural Networks using Backpropagation Junhaeng Lee T. Delbruck Michael Pfeiffer 66 940 0 31 Aug 2016
Optimization Methods for Large-Scale Machine Learning Léon Bottou Frank E. Curtis J. Nocedal 177 3,198 0 15 Jun 2016