How to Train Your Robot with Deep Reinforcement Learning; Lessons We've Learned

4 February 2021

Jie Tan

Papers citing "How to Train Your Robot with Deep Reinforcement Learning; Lessons We've Learned"

50 / 211 papers shown

Title
OpenBot-Fleet: A System for Collective Learning with Real Robots Matthias M¨uller Samarth Brahmbhatt Ankur Deka Quentin Leboutet David Hafner V. Koltun 55 0 0 13 May 2024
Contextual Affordances for Safe Exploration in Robotic Scenarios William Z. Ye Eduardo B. Sandoval Pamela Carreno-Medrano Francisco Cru 40 0 0 10 May 2024
Learning Robot Soccer from Egocentric Vision with Deep Reinforcement Learning Dhruva Tirumala Markus Wulfmeier Ben Moran Sandy Huang Jan Humplik ... Kushal Patel Marlon Gwira Francesco Nori Martin Riedmiller N. Heess 45 13 0 03 May 2024
On the Utility of External Agent Intention Predictor for Human-AI Coordination Chenxu Wang Zilong Chen Angelo Cangelosi Huaping Liu 44 1 0 03 May 2024
SwarmRL: Building the Future of Smart Active Systems S. Tovey Christoph Lohrmann Tobias Merkt David Zimmer Konstantin Nikolaou Simon Koppenhoefer Anna Bushmakina Jonas Scheunemann Christian Holm AI4CE 50 2 0 25 Apr 2024
RUMOR: Reinforcement learning for Understanding a Model of the Real World for Navigation in Dynamic Environments Diego Martínez Baselga L. Riazuelo Luis Montano 100 1 0 25 Apr 2024
Safe Reinforcement Learning on the Constraint Manifold: Theory and Applications Puze Liu Haitham Bou-Ammar Jan Peters Davide Tateo 56 9 0 13 Apr 2024
Is Exploration All You Need? Effective Exploration Characteristics for Transfer in Reinforcement Learning Jonathan C. Balloch Rishav Bhagat Geigh Zollicoffer Ruoran Jia Julia Kim Mark O. Riedl OffRL 47 1 0 02 Apr 2024
Active Exploration in Bayesian Model-based Reinforcement Learning for Robot Manipulation Carlos Plou Ana C. Murillo Ruben Martinez-Cantin OffRL 45 0 0 02 Apr 2024
Extremum-Seeking Action Selection for Accelerating Policy Optimization Ya-Chien Chang Sicun Gao 66 0 0 02 Apr 2024
Survey on Large Language Model-Enhanced Reinforcement Learning: Concept, Taxonomy, and Methods Yuji Cao Huan Zhao Yuheng Cheng Ting Shu Guolong Liu Gaoqi Liang Junhua Zhao Yun Li LLMAG KELM OffRL LM&Ro 67 54 0 30 Mar 2024
$Robust Model Based Reinforcement Learning Using $\mathcal{L}_1$ Adaptive Control$ Robust Model Based Reinforcement Learning Using $\mathcal{L}_1$ Adaptive Control Minjun Sung Sambhu H. Karumanchi Aditya Gahlawat N. Hovakimyan 69 1 0 21 Mar 2024
A Roadmap Towards Automated and Regulated Robotic Systems Yihao Liu Mehran Armand 60 2 0 21 Mar 2024
Generalising Multi-Agent Cooperation through Task-Agnostic Communication Dulhan Jayalath Steven D. Morad Amanda Prorok 45 0 0 11 Mar 2024
Robustifying a Policy in Multi-Agent RL with Diverse Cooperative Behaviors and Adversarial Style Sampling for Assistive Tasks Takayuki Osa Tatsuya Harada 63 2 0 01 Mar 2024
Advancing Investment Frontiers: Industry-grade Deep Reinforcement Learning for Portfolio Optimization Philip Ndikum Serge Ndikum 67 1 0 27 Feb 2024
FLD: Fourier Latent Dynamics for Structured Motion Representation and Learning Chenhao Li Elijah Stanger-Jones Steve Heim Sangbae Kim 53 10 0 21 Feb 2024
Beyond Worst-case Attacks: Robust RL with Adaptive Defense via Non-dominated Policies Xiangyu Liu Chenghao Deng Yanchao Sun Yongyuan Liang Furong Huang AAML 51 6 0 20 Feb 2024
Analyzing Adversarial Inputs in Deep Reinforcement Learning Davide Corsi Guy Amir Guy Katz Alessandro Farinelli AAML 41 7 0 07 Feb 2024
Towards Optimal Adversarial Robust Q-learning with Bellman Infinity-error Haoran Li Zicheng Zhang Wang Luo Congying Han Yudong Hu Tiande Guo Shichen Liao AAML 62 2 0 03 Feb 2024
Optimal Potential Shaping on SE(3) via Neural ODEs on Lie Groups Yannik P. Wotte Federico Califano Stefano Stramigioli AI4CE 37 1 0 25 Jan 2024
Concept: Dynamic Risk Assessment for AI-Controlled Robotic Systems Philipp Grimmeisen Friedrich Sautter Andrey Morozov 18 1 0 25 Jan 2024
A Safe Reinforcement Learning Algorithm for Supervisory Control of Power Plants Yixuan Sun Sami Khairy Richard B. Vilim Rui Hu Akshay J. Dave 57 2 0 23 Jan 2024
Port-Hamiltonian Neural ODE Networks on Lie Groups For Robot Dynamics Learning and Control T. Duong Abdullah Altawaitan Jason Stanley Nikolay Atanasov 54 10 0 17 Jan 2024
BET: Explaining Deep Reinforcement Learning through The Error-Prone Decisions Xiao Liu Jie Zhao Wubing Chen Mao Tan Yongxin Su OffRL FAtt 38 0 0 14 Jan 2024
General-purpose foundation models for increased autonomy in robot-assisted surgery Samuel Schmidgall Ji Woong Kim Alan Kuntz A. Ghazi Axel Krieger MedIm 64 10 0 01 Jan 2024
Efficient Reinforcement Learning via Decoupling Exploration and Utilization Jingpu Yang Helin Wang Qirui Zhao Zhecheng Shi Zirui Song Miao Fang 31 0 0 26 Dec 2023
Human-AI Collaboration in Real-World Complex Environment with Reinforcement Learning Md Saiful Islam Srijita Das S. Gottipati William Duguay Clodéric Mars Jalal Arabneydi Antoine Fagette Matthew J. Guzdial Matthew E. Taylor 43 1 0 23 Dec 2023
GraspLDM: Generative 6-DoF Grasp Synthesis using Latent Diffusion Models K. R. Barad Andrej Orsula Antoine Richard Jan Dentler Miguel Olivares-Mendez Carol Martinez 34 16 0 18 Dec 2023
Modifying RL Policies with Imagined Actions: How Predictable Policies Can Enable Users to Perform Novel Tasks Isaac S. Sheidlower Reuben M. Aronson E. Short OffRL 93 1 0 10 Dec 2023
A Multifidelity Sim-to-Real Pipeline for Verifiable and Compositional Reinforcement Learning Cyrus Neary Christian Ellis Aryaman Singh Samyal Craig T. Lennon Ufuk Topcu OffRL 271 0 0 02 Dec 2023
Program Machine Policy: Addressing Long-Horizon Tasks by Integrating Program Synthesis and State Machines Yu-An Lin Chen-Tao Lee Guanhui. Liu Pu-Jen Cheng Shao-Hua Sun 36 0 0 27 Nov 2023
Offline Skill Generalization via Task and Motion Planning Shin Watanabe Geir Horn J. Tørresen K. Ellefsen OffRL 50 0 0 24 Nov 2023
Learning to Control under Uncertainty with Data-Based Iterative Linear Quadratic Regulator Ran A. Wang Raman Goyal S. Chakravorty 23 1 0 08 Nov 2023
Accelerating Reinforcement Learning of Robotic Manipulations via Feedback from Large Language Models Kun-Mo Chu Xufeng Zhao C. Weber Mengdi Li Stefan Wermter LLMAG LM&Ro 54 14 0 04 Nov 2023
Grow Your Limits: Continuous Improvement with Real-World RL for Robotic Locomotion Laura M. Smith Yunhao Cao Sergey Levine OffRL 38 19 0 26 Oct 2023
Robot Skill Generalization via Keypoint Integrated Soft Actor-Critic Gaussian Mixture Models Iman Nematollahi Kirill Yankov Wolfram Burgard Tim Welschehold 44 0 0 23 Oct 2023
Examining the simulation-to-reality gap of a wheel loader digging in deformable terrain Kojiro Aoshima Martin Servin AI4CE 81 4 0 09 Oct 2023
Domain Randomization for Sim2real Transfer of Automatically Generated Grasping Datasets J. Huber François Hélénon Hippolyte Watrelot F. B. Amar Stéphane Doncieux 35 12 0 06 Oct 2023
Compositional Servoing by Recombining Demonstrations Max Argus Abhijeet Nayak Martin Buchner Silvio Galesso Abhinav Valada Thomas Brox 41 0 0 06 Oct 2023
In-Hand Re-grasp Manipulation with Passive Dynamic Actions via Imitation Learning Dehao Wei Guokang Sun Zeyu Ren Shuang Li Zhufeng Shao Xiang Li Nikos Tsagarakis Shaohua Ma 17 1 0 27 Sep 2023
Maximum diffusion reinforcement learning Thomas A. Berrueta Allison Pinosky Todd Murphey AI4CE DiffM 45 5 0 26 Sep 2023
Effective Multi-Agent Deep Reinforcement Learning Control with Relative Entropy Regularization Chenyang Miao Yunduan Cui Huiyun Li Xin Wu 55 5 0 26 Sep 2023
Machine Learning Meets Advanced Robotic Manipulation Saeid Nahavandi R. Alizadehsani D. Nahavandi Chee Peng Lim Kevin Kelly Fernando Bello 38 17 0 22 Sep 2023
Machine Learning-Driven Burrowing with a Snake-Like Robot Sean Even Holden Gordon Hoeseok Yang Yasemin Ozkan-Aydin 39 2 0 19 Sep 2023
Contrastive Initial State Buffer for Reinforcement Learning Nico Messikommer Yunlong Song Davide Scaramuzza OffRL 49 9 0 18 Sep 2023
Learning Visual Tracking and Reaching with Deep Reinforcement Learning on a UR10e Robotic Arm C. Bellinger Laurence Lamarche-Cliche 37 0 0 28 Aug 2023
Intentionally-underestimated Value Function at Terminal State for Temporal-difference Learning with Mis-designed Reward Taisuke Kobayashi 43 3 0 24 Aug 2023
Learning the Plasticity: Plasticity-Driven Learning Framework in Spiking Neural Networks Guobin Shen Dongcheng Zhao Yiting Dong Yang Li Feifei Zhao Yi Zeng AI4CE 38 0 0 23 Aug 2023
Value-Informed Skill Chaining for Policy Learning of Long-Horizon Tasks with Surgical Robot Tao Huang Kai-xiang Chen Wang Wei Jianan Li Yonghao Long Qi Dou OffRL 39 6 0 31 Jul 2023