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ABPT: Amended Backpropagation through Time with Partially Differentiable Rewards

24 January 2025

Papers citing "ABPT: Amended Backpropagation through Time with Partially Differentiable Rewards"

27 / 27 papers shown

Title
Seeing Through Pixel Motion: Learning Obstacle Avoidance from Optical Flow with One Camera Yu Hu Yuang Zhang Yunlong Song Yang Deng Feng Yu Linzuo Zhang Weiyao Lin Danping Zou Wenxian Yu 107 5 0 07 Nov 2024
VisFly: An Efficient and Versatile Simulator for Training Vision-based Flight Fanxing Li Fangyu Sun Tianbao Zhang Danping Zou 106 3 0 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 98 20 0 15 Jul 2024
Learning Quadruped Locomotion Using Differentiable Simulation Yunlong Song Sangbae Kim Davide Scaramuzza 110 16 0 21 Mar 2024
Mastering Diverse Domains through World Models Danijar Hafner J. Pašukonis Jimmy Ba Timothy Lillicrap 85 616 0 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 69 26 0 27 Oct 2022
Training Efficient Controllers via Analytic Policy Gradient Nina Wiedemann Valentin Wüest Antonio Loquercio M. Müller Dario Floreano Davide Scaramuzza OffRL 74 20 0 26 Sep 2022
Accelerated Policy Learning with Parallel Differentiable Simulation Jie Xu Viktor Makoviychuk Yashraj S. Narang Fabio Ramos Wojciech Matusik Animesh Garg Miles Macklin 72 95 0 14 Apr 2022
Dojo: A Differentiable Physics Engine for Robotics Taylor A. Howell Simon Le Cleac'h Jan Brüdigam J. Zico Kolter Mac Schwager Zachary Manchester 83 36 0 02 Mar 2022
Do Differentiable Simulators Give Better Policy Gradients? H.J. Terry Suh Max Simchowitz Kai Zhang Russ Tedrake 70 101 0 02 Feb 2022
Learning High-Speed Flight in the Wild Antonio Loquercio Elia Kaufmann René Ranftl Matthias Muller V. Koltun Davide Scaramuzza 106 302 0 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 111 380 0 24 Jun 2021
NeuralSim: Augmenting Differentiable Simulators with Neural Networks Eric Heiden David Millard Erwin Coumans Yizhou Sheng Gaurav Sukhatme 67 140 0 09 Nov 2020
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 550 10,591 0 17 Feb 2020
Dream to Control: Learning Behaviors by Latent Imagination Danijar Hafner Timothy Lillicrap Jimmy Ba Mohammad Norouzi VLM 140 1,374 0 03 Dec 2019
DiffTaichi: Differentiable Programming for Physical Simulation Yuanming Hu Luke Anderson Tzu-Mao Li Qi Sun N. Carr Jonathan Ragan-Kelley F. Durand 75 388 0 01 Oct 2019
Deep Drone Racing: From Simulation to Reality with Domain Randomization Antonio Loquercio Elia Kaufmann René Ranftl Alexey Dosovitskiy V. Koltun Davide Scaramuzza 75 212 0 21 May 2019
Habitat: A Platform for Embodied AI Research Manolis Savva Abhishek Kadian Oleksandr Maksymets Yili Zhao Erik Wijmans ... Jia-Wei Liu V. Koltun Jitendra Malik Devi Parikh Dhruv Batra LM&Ro 129 1,423 0 02 Apr 2019
Deep Drone Racing: Learning Agile Flight in Dynamic Environments Elia Kaufmann Antonio Loquercio René Ranftl Alexey Dosovitskiy V. Koltun Davide Scaramuzza 61 135 0 22 Jun 2018
Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models Kurtland Chua Roberto Calandra R. McAllister Sergey Levine BDL 230 1,284 0 30 May 2018
Addressing Function Approximation Error in Actor-Critic Methods Scott Fujimoto H. V. Hoof David Meger OffRL 195 5,226 0 26 Feb 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine 317 8,432 0 04 Jan 2018
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 580 19,315 0 20 Jul 2017
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 332 13,295 0 09 Sep 2015
Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images Manuel Watter Jost Tobias Springenberg Joschka Boedecker Martin Riedmiller BDL 101 847 0 24 Jun 2015
Trust Region Policy Optimization John Schulman Sergey Levine Philipp Moritz Michael I. Jordan Pieter Abbeel 283 6,807 0 19 Feb 2015
Playing Atari with Deep Reinforcement Learning Volodymyr Mnih Koray Kavukcuoglu David Silver Alex Graves Ioannis Antonoglou Daan Wierstra Martin Riedmiller 132 12,272 0 19 Dec 2013