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ABPT: Amended Backpropagation through Time with Partially Differentiable Rewards
24 January 2025
Fanxing Li
Fangyu Sun
Tianbao Zhang
Danping Zou
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Papers citing
"ABPT: Amended Backpropagation through Time with Partially Differentiable Rewards"
28 / 28 papers shown
StableTracker: Learning to Stably Track Target via Differentiable Simulation
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Shengyang Wang
Fangyu Sun
Shuyu Wu
Dexin Zuo
Wenxian Yu
Danping Zou
Danping Zou
223
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0
17 Sep 2025
Seeing Through Pixel Motion: Learning Obstacle Avoidance from Optical Flow with One Camera
IEEE Robotics and Automation Letters (RA-L), 2024
Yu Hu
Yuang Zhang
Yunlong Song
Yang Deng
Feng Yu
Linzuo Zhang
Weiyao Lin
Danping Zou
Wenxian Yu
528
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07 Nov 2024
VisFly: An Efficient and Versatile Simulator for Training Vision-based Flight
Fanxing Li
Fangyu Sun
Tianbao Zhang
Danping Zou
593
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20 Jul 2024
Back to Newton's Laws: Learning Vision-based Agile Flight via Differentiable Physics
Yuang Zhang
Yu Hu
Yunlong Song
Danping Zou
Weiyao Lin
366
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0
15 Jul 2024
Learning Quadruped Locomotion Using Differentiable Simulation
Conference on Robot Learning (CoRL), 2024
Yunlong Song
Sangbae Kim
Davide Scaramuzza
478
38
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21 Mar 2024
Mastering Diverse Domains through World Models
Danijar Hafner
J. Pašukonis
Jimmy Ba
Timothy Lillicrap
481
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10 Jan 2023
SAM-RL: Sensing-Aware Model-Based Reinforcement Learning via Differentiable Physics-Based Simulation and Rendering
Jun Lv
Yunhai Feng
Cheng Zhang
Shu Zhao
Lin Shao
Cewu Lu
401
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27 Oct 2022
Training Efficient Controllers via Analytic Policy Gradient
IEEE International Conference on Robotics and Automation (ICRA), 2022
Nina Wiedemann
Valentin Wüest
Antonio Loquercio
M. Müller
Dario Floreano
Davide Scaramuzza
OffRL
399
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26 Sep 2022
Accelerated Policy Learning with Parallel Differentiable Simulation
International Conference on Learning Representations (ICLR), 2022
Jie Xu
Viktor Makoviychuk
Yashraj S. Narang
Fabio Ramos
Wojciech Matusik
Animesh Garg
Lukasz Wawrzyniak
336
137
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14 Apr 2022
Dojo: A Differentiable Physics Engine for Robotics
Taylor A. Howell
Simon Le Cleac'h
Jan Brüdigam
Qianzhong Chen
Mac Schwager
J. Zico Kolter
Mac Schwager
Zachary Manchester
493
50
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02 Mar 2022
Do Differentiable Simulators Give Better Policy Gradients?
International Conference on Machine Learning (ICML), 2022
H.J. Terry Suh
Max Simchowitz
Jianchao Tan
Russ Tedrake
347
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02 Feb 2022
Learning High-Speed Flight in the Wild
Science Robotics (Sci. Robot.), 2021
Antonio Loquercio
Elia Kaufmann
René Ranftl
Matthias Muller
V. Koltun
Davide Scaramuzza
484
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11 Oct 2021
Brax -- A Differentiable Physics Engine for Large Scale Rigid Body Simulation
C. Freeman
Erik Frey
Anton Raichuk
Sertan Girgin
Igor Mordatch
Olivier Bachem
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504
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24 Jun 2021
NeuralSim: Augmenting Differentiable Simulators with Neural Networks
Eric Heiden
David Millard
Erwin Coumans
Yizhou Sheng
Gaurav Sukhatme
372
170
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09 Nov 2020
Decision-Making with Auto-Encoding Variational Bayes
Neural Information Processing Systems (NeurIPS), 2020
Romain Lopez
Pierre Boyeau
Nir Yosef
Michael I. Jordan
Jeffrey Regier
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17 Feb 2020
Dream to Control: Learning Behaviors by Latent Imagination
International Conference on Learning Representations (ICLR), 2019
Danijar Hafner
Timothy Lillicrap
Jimmy Ba
Mohammad Norouzi
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1,613
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03 Dec 2019
DiffTaichi: Differentiable Programming for Physical Simulation
International Conference on Learning Representations (ICLR), 2019
Yuanming Hu
Luke Anderson
Tzu-Mao Li
Qi Sun
N. Carr
Jonathan Ragan-Kelley
F. Durand
533
467
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01 Oct 2019
Deep Drone Racing: From Simulation to Reality with Domain Randomization
IEEE Transactions on robotics (TRO), 2019
Antonio Loquercio
Elia Kaufmann
René Ranftl
Alexey Dosovitskiy
V. Koltun
Davide Scaramuzza
270
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21 May 2019
Habitat: A Platform for Embodied AI Research
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V. Koltun
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02 Apr 2019
Deep Drone Racing: Learning Agile Flight in Dynamic Environments
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Antonio Loquercio
René Ranftl
Alexey Dosovitskiy
V. Koltun
Davide Scaramuzza
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22 Jun 2018
Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models
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Roberto Calandra
R. McAllister
Sergey Levine
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30 May 2018
Addressing Function Approximation Error in Actor-Critic Methods
International Conference on Machine Learning (ICML), 2018
Scott Fujimoto
H. V. Hoof
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Proximal Policy Optimization Algorithms
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Continuous control with deep reinforcement learning
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Jonathan J. Hunt
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Daan Wierstra
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Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images
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Trust Region Policy Optimization
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Playing Atari with Deep Reinforcement Learning
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19 Dec 2013
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