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Environment as Policy: Learning to Race in Unseen Tracks

29 October 2024

Papers citing "Environment as Policy: Learning to Race in Unseen Tracks"

34 / 34 papers shown

Title
Accelerating Model-Based Reinforcement Learning with State-Space World Models Maria Krinner Elie Aljalbout Angel Romero Davide Scaramuzza OffRL 104 1 0 27 Feb 2025
Multi-Task Reinforcement Learning for Quadrotors Jiaxu Xing Ismail Geles Yunlong Song Elie Aljalbout Davide Scaramuzza 120 9 0 17 Dec 2024
Demonstrating Agile Flight from Pixels without State Estimation Ismail Geles L. Bauersfeld Angel Romero Jiaxu Xing Davide Scaramuzza 78 23 0 18 Jun 2024
Bootstrapping Reinforcement Learning with Imitation for Vision-Based Agile Flight Jiaxu Xing Angel Romero L. Bauersfeld Davide Scaramuzza 83 16 0 18 Mar 2024
On the Role of the Action Space in Robot Manipulation Learning and Sim-to-Real Transfer Elie Aljalbout Felix Frank Maximilian Karl Patrick van der Smagt 69 21 0 06 Dec 2023
Reaching the Limit in Autonomous Racing: Optimal Control versus Reinforcement Learning Yunlong Song Angel Romero Matthias Müller V. Koltun Davide Scaramuzza 69 159 0 17 Oct 2023
Contrastive Learning for Enhancing Robust Scene Transfer in Vision-based Agile Flight Jiaxu Xing L. Bauersfeld Yunlong Song Chunwei Xing Davide Scaramuzza 94 12 0 18 Sep 2023
Contrastive Initial State Buffer for Reinforcement Learning Nico Messikommer Yunlong Song Davide Scaramuzza OffRL 95 9 0 18 Sep 2023
Agilicious: Open-Source and Open-Hardware Agile Quadrotor for Vision-Based Flight Philipp Foehn Elia Kaufmann Angel Romero Robert Pěnička Sihao Sun ... T. Laengle Giovanni Cioffi Yunlong Song Antonio Loquercio Davide Scaramuzza 89 109 0 12 Jul 2023
Actor-Critic Model Predictive Control Angel Romero Yunlong Song Davide Scaramuzza 101 38 0 16 Jun 2023
Autonomous Power Line Inspection with Drones via Perception-Aware MPC Jiaxu Xing Giovanni Cioffi Javier Hidalgo-Carrió Davide Scaramuzza 83 35 0 03 Apr 2023
Autonomous Drone Racing: A Survey D. Hanover Antonio Loquercio L. Bauersfeld Angel Romero Robert Pěnička Yunlong Song Giovanni Cioffi Elia Kaufmann Davide Scaramuzza 137 66 0 04 Jan 2023
Deep Whole-Body Control: Learning a Unified Policy for Manipulation and Locomotion Zipeng Fu Xuxin Cheng Deepak Pathak 87 157 0 18 Oct 2022
Evolving Curricula with Regret-Based Environment Design Jack Parker-Holder Minqi Jiang Michael Dennis Mikayel Samvelyan Jakob N. Foerster Edward Grefenstette Tim Rocktaschel 94 125 0 02 Mar 2022
Replay-Guided Adversarial Environment Design Minqi Jiang Michael Dennis Jack Parker-Holder Jakob N. Foerster Edward Grefenstette Tim Rocktaschel 203 102 0 06 Oct 2021
Model Predictive Contouring Control for Time-Optimal Quadrotor Flight Angel Romero Sihao Sun Philipp Foehn Davide Scaramuzza 102 130 0 30 Aug 2021
RMA: Rapid Motor Adaptation for Legged Robots Ashish Kumar Zipeng Fu Deepak Pathak Jitendra Malik 166 581 0 08 Jul 2021
NeuroBEM: Hybrid Aerodynamic Quadrotor Model L. Bauersfeld Elia Kaufmann Philipp Foehn Sihao Sun Davide Scaramuzza 121 93 0 15 Jun 2021
Emergent Complexity and Zero-shot Transfer via Unsupervised Environment Design Michael Dennis Natasha Jaques Eugene Vinitsky Alexandre M. Bayen Stuart J. Russell Andrew Critch Sergey Levine 85 236 0 03 Dec 2020
Learning Quadrupedal Locomotion over Challenging Terrain Joonho Lee Jemin Hwangbo Lorenz Wellhausen V. Koltun Marco Hutter 145 1,176 0 21 Oct 2020
Flightmare: A Flexible Quadrotor Simulator Yunlong Song Selim Naji Elia Kaufmann Antonio Loquercio Davide Scaramuzza 46 176 0 01 Sep 2020
Teacher algorithms for curriculum learning of Deep RL in continuously parameterized environments Rémy Portelas Cédric Colas Katja Hofmann Pierre-Yves Oudeyer 66 146 0 16 Oct 2019
Solving Rubik's Cube with a Robot Hand OpenAI Ilge Akkaya Marcin Andrychowicz Maciek Chociej Ma-teusz Litwin ... Peter Welinder Lilian Weng Qiming Yuan Wojciech Zaremba Lei Zhang ODL 121 1,232 0 16 Oct 2019
Learning agile and dynamic motor skills for legged robots Jemin Hwangbo Joonho Lee Alexey Dosovitskiy Dario Bellicoso Vassilios Tsounis V. Koltun Marco Hutter 108 1,315 0 24 Jan 2019
On the Continuity of Rotation Representations in Neural Networks Yi Zhou Connelly Barnes Jingwan Lu Jimei Yang Hao Li 3DH 80 1,294 0 17 Dec 2018
Learning Dexterous In-Hand Manipulation OpenAI OpenAI Marcin Andrychowicz Bowen Baker Maciek Chociej Rafal Jozefowicz ... Szymon Sidor Joshua Tobin Peter Welinder Lilian Weng Wojciech Zaremba 161 1,884 0 01 Aug 2018
QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation Dmitry Kalashnikov A. Irpan P. Pastor Julian Ibarz Alexander Herzog ... Deirdre Quillen E. Holly Mrinal Kalakrishnan Vincent Vanhoucke Sergey Levine 135 1,471 0 27 Jun 2018
PAMPC: Perception-Aware Model Predictive Control for Quadrotors Davide Falanga Philipp Foehn Peng Lu Davide Scaramuzza 119 216 0 13 Apr 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine 317 8,406 0 04 Jan 2018
Domain Randomization and Generative Models for Robotic Grasping Joshua Tobin Lukas Biewald Rocky Duan Marcin Andrychowicz Ankur Handa ... Bob McGrew Jonas Schneider Peter Welinder Wojciech Zaremba Pieter Abbeel OOD 86 175 0 17 Oct 2017
Control of a Quadrotor with Reinforcement Learning Jemin Hwangbo Inkyu Sa Roland Siegwart Marco Hutter 77 482 0 17 Jul 2017
Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World Joshua Tobin Rachel Fong Alex Ray Jonas Schneider Wojciech Zaremba Pieter Abbeel 262 2,972 0 20 Mar 2017
Deep Reinforcement Learning for Robotic Manipulation with Asynchronous Off-Policy Updates S. Gu E. Holly Timothy Lillicrap Sergey Levine OffRL SSL 116 1,482 0 03 Oct 2016
OpenAI Gym Greg Brockman Vicki Cheung Ludwig Pettersson Jonas Schneider John Schulman Jie Tang Wojciech Zaremba OffRL ODL 223 5,086 0 05 Jun 2016