The Ingredients of Real-World Robotic Reinforcement Learning

27 April 2020

Abhishek Gupta

Vikash Kumar

Papers citing "The Ingredients of Real-World Robotic Reinforcement Learning"

31 / 31 papers shown

Title
Crossing the Human-Robot Embodiment Gap with Sim-to-Real RL using One Human Demonstration Tyler Ga Wei Lum Olivia Y. Lee C. Karen Liu Jeannette Bohg 42 1 0 17 Apr 2025
ConRFT: A Reinforced Fine-tuning Method for VLA Models via Consistency Policy Yuhui Chen Shuai Tian Shugao Liu Yingting Zhou Haoran Li Dongbin Zhao OffRL 106 1 0 08 Feb 2025
Autonomous Algorithm for Training Autonomous Vehicles with Minimal Human Intervention Sang-Hyun Lee Daehyeok Kwon Seung-Woo Seo 70 1 0 17 Jan 2025
An Empirical Study of Deep Reinforcement Learning in Continuing Tasks Yi Wan D. Korenkevych Zheqing Zhu OffRL CLL 42 0 0 12 Jan 2025
HEIGHT: Heterogeneous Interaction Graph Transformer for Robot Navigation in Crowded and Constrained Environments Shuijing Liu Haochen Xia Fatemeh Cheraghi Pouria Kaiwen Hong Neeloy Chakraborty Katherine Rose Driggs-Campbell Joydeep Biswas Katherine Driggs-Campbell 111 1 0 19 Nov 2024
NeoRL: Efficient Exploration for Nonepisodic RL Bhavya Sukhija Lenart Treven Florian Dorfler Stelian Coros Andreas Krause OffRL 30 0 0 03 Jun 2024
Nearly Optimal Algorithms for Contextual Dueling Bandits from Adversarial Feedback Qiwei Di Jiafan He Quanquan Gu 29 1 0 16 Apr 2024
SERL: A Software Suite for Sample-Efficient Robotic Reinforcement Learning Jianlan Luo Zheyuan Hu Charles Xu You Liang Tan Jacob Berg Archit Sharma S. Schaal Chelsea Finn Abhishek Gupta Sergey Levine OffRL OnRL 34 40 0 29 Jan 2024
Offline Retraining for Online RL: Decoupled Policy Learning to Mitigate Exploration Bias Max Sobol Mark Archit Sharma Fahim Tajwar Rafael Rafailov Sergey Levine Chelsea Finn OffRL OnRL 28 1 0 12 Oct 2023
REBOOT: Reuse Data for Bootstrapping Efficient Real-World Dexterous Manipulation Zheyuan Hu Aaron Rovinsky Jianlan Luo Vikash Kumar Abhishek Gupta Sergey Levine OffRL 19 9 0 06 Sep 2023
Demonstration-free Autonomous Reinforcement Learning via Implicit and Bidirectional Curriculum Jigang Kim Daesol Cho H. J. Kim 22 3 0 17 May 2023
Self-Improving Robots: End-to-End Autonomous Visuomotor Reinforcement Learning Archit Sharma Ahmed M. Ahmed Rehaan Ahmad Chelsea Finn SSL 48 17 0 02 Mar 2023
Online Reinforcement Learning in Non-Stationary Context-Driven Environments Pouya Hamadanian Arash Nasr-Esfahany Malte Schwarzkopf Siddartha Sen MohammadIman Alizadeh CLL OffRL 45 0 0 04 Feb 2023
A Data-Efficient Visual-Audio Representation with Intuitive Fine-tuning for Voice-Controlled Robots Peixin Chang Shuijing Liu Tianchen Ji Neeloy Chakraborty Kaiwen Hong Katherine Driggs-Campbell 43 3 0 23 Jan 2023
PI-QT-Opt: Predictive Information Improves Multi-Task Robotic Reinforcement Learning at Scale Kuang-Huei Lee Ted Xiao A. Li Paul Wohlhart Ian S. Fischer Yao Lu 45 10 0 15 Oct 2022
GoalsEye: Learning High Speed Precision Table Tennis on a Physical Robot Tianli Ding L. Graesser Saminda Abeyruwan David B. DÁmbrosio Anish Shankar P. Sermanet Pannag R. Sanketi Corey Lynch 47 20 0 07 Oct 2022
Stochastic Deep Networks with Linear Competing Units for Model-Agnostic Meta-Learning Konstantinos Kalais S. Chatzis BDL 31 8 0 02 Aug 2022
Human-to-Robot Imitation in the Wild Shikhar Bahl Abhi Gupta Deepak Pathak 16 163 0 19 Jul 2022
Don't Start From Scratch: Leveraging Prior Data to Automate Robotic Reinforcement Learning Homer Walke Jonathan Yang Albert Yu Aviral Kumar Jedrzej Orbik Avi Singh Sergey Levine OffRL OnRL 25 32 0 11 Jul 2022
Stabilizing Off-Policy Deep Reinforcement Learning from Pixels Edoardo Cetin Philip J. Ball Steve Roberts Oya Celiktutan 30 36 0 03 Jul 2022
Demonstration-Bootstrapped Autonomous Practicing via Multi-Task Reinforcement Learning Abhishek Gupta Corey Lynch Brandon Kinman Garrett Peake Sergey Levine Karol Hausman OffRL 19 17 0 29 Mar 2022
Asynchronous Reinforcement Learning for Real-Time Control of Physical Robots Yufeng Yuan Rupam Mahmood OffRL 20 18 0 23 Mar 2022
Autonomous Reinforcement Learning: Formalism and Benchmarking Archit Sharma Kelvin Xu Nikhil Sardana Abhishek Gupta Karol Hausman Sergey Levine Chelsea Finn OffRL 35 26 0 17 Dec 2021
Example-Driven Model-Based Reinforcement Learning for Solving Long-Horizon Visuomotor Tasks Bohan Wu Suraj Nair Li Fei-Fei Chelsea Finn OffRL LM&Ro 38 24 0 21 Sep 2021
Evaluating the progress of Deep Reinforcement Learning in the real world: aligning domain-agnostic and domain-specific research J. Luis E. Crawley B. Cameron OffRL 25 6 0 07 Jul 2021
Learning Generalizable Robotic Reward Functions from "In-The-Wild" Human Videos Annie S. Chen Suraj Nair Chelsea Finn 30 137 0 31 Mar 2021
GST: Group-Sparse Training for Accelerating Deep Reinforcement Learning Juhyoung Lee Sangyeob Kim Sangjin Kim Wooyoung Jo H. Yoo OffRL 19 9 0 24 Jan 2021
Continual Learning of Control Primitives: Skill Discovery via Reset-Games Kelvin Xu Siddharth Verma Chelsea Finn Sergey Levine CLL 28 33 0 10 Nov 2020
TriFinger: An Open-Source Robot for Learning Dexterity Manuel Wüthrich Felix Widmaier F. Grimminger J. Akpo S. Joshi ... Julian Viereck M. Naveau Ludovic Righetti Bernhard Schölkopf Stefan Bauer 21 72 0 08 Aug 2020
Deep Dynamics Models for Learning Dexterous Manipulation Anusha Nagabandi K. Konolige Sergey Levine Vikash Kumar 148 407 0 25 Sep 2019
Global Optimality Guarantees For Policy Gradient Methods Jalaj Bhandari Daniel Russo 35 185 0 05 Jun 2019