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
SpineWave: Harnessing Fish Rigid-Flexible Spinal Kinematics for Enhancing Biomimetic Robotic Locomotion Qu He Weikun Li Guangmin Dai Hao Chen Qimeng Liu Xiaoqing Tian Jie You Weicheng Cui M. Triantafyllou Dixia Fan 9 0 0 22 May 2025
DSADF: Thinking Fast and Slow for Decision Making Alex Zhihao Dou Dongfei Cui Jun Yan Wei Wang Benteng Chen Haoming Wang Zeke Xie Shufei Zhang OffRL 53 1 0 13 May 2025
Terrain-aware Low Altitude Path Planning Yixuan Jia Andrea Tagliabue Navid Dadkhah Tehrani Jonathan P. How 48 0 0 11 May 2025
Sim-to-Real of Humanoid Locomotion Policies via Joint Torque Space Perturbation Injection Woohyun Cha Junhyeok Cha Jaeyong Shin Donghyeon Kim Jaeheung Park 41 0 0 09 Apr 2025
Tool-as-Interface: Learning Robot Policies from Human Tool Usage through Imitation Learning Haonan Chen Cheng Zhu Yunzhu Li Katherine Driggs-Campbell 36 0 0 06 Apr 2025
Robotic Paper Wrapping by Learning Force Control Hiroki Hanai Takuya Kiyokawa Weiwei Wan Kensuke Harada 66 0 0 19 Mar 2025
Low-cost Real-world Implementation of the Swing-up Pendulum for Deep Reinforcement Learning Experiments Peter Böhm Pauline Pounds Archie C. Chapman 55 0 0 14 Mar 2025
Cooperative Bearing-Only Target Pursuit via Multiagent Reinforcement Learning: Design and Experiment Jianan Li Ziyi Wang Susheng Ding Shiliang Guo Shiyu Zhao 66 0 0 13 Mar 2025
CarPlanner: Consistent Auto-regressive Trajectory Planning for Large-scale Reinforcement Learning in Autonomous Driving Dongkun Zhang Jiaming Liang Ke Guo Sha Lu Qi Wang R. Xiong Zhenwei Miao Yue Wang 95 3 0 27 Feb 2025
Learning a Diffusion Model Policy from Rewards via Q-Score Matching Michael Psenka Alejandro Escontrela Pieter Abbeel Yi-An Ma DiffM 97 26 0 17 Feb 2025
Maximum Entropy Reinforcement Learning with Diffusion Policy Xiaoyi Dong Jian Cheng Xinsong Zhang 56 0 0 17 Feb 2025
Towards General-Purpose Model-Free Reinforcement Learning Scott Fujimoto P. DÓro Amy Zhang Yuandong Tian Michael Rabbat OffRL 49 3 0 28 Jan 2025
Physics-model-guided Worst-case Sampling for Safe Reinforcement Learning H. Cao Y. Mao L. Sha Marco Caccamo OffRL 107 0 0 17 Dec 2024
Versatile Locomotion Skills for Hexapod Robots Tomson Qu Dichen Li Avideh Zakhor Wenhao Yu Tingnan Zhang 118 1 0 14 Dec 2024
Simulation-Aided Policy Tuning for Black-Box Robot Learning Shiming He Alexander von Rohr Dominik Baumann Ji Xiang Sebastian Trimpe 97 0 0 21 Nov 2024
So You Think You Can Scale Up Autonomous Robot Data Collection? Suvir Mirchandani Suneel Belkhale Joey Hejna Evelyn Choi Md Sazzad Islam Dorsa Sadigh OffRL 55 5 0 04 Nov 2024
Provably Adaptive Average Reward Reinforcement Learning for Metric Spaces Avik Kar Rahul Singh 43 0 0 25 Oct 2024
The State of Robot Motion Generation Kostas E. Bekris Joe H. Doerr Patrick Meng Sumanth Tangirala 3DV 41 3 0 16 Oct 2024
Multi-Agent Actor-Critics in Autonomous Cyber Defense Mingjun Wang Remington Dechene 36 0 0 11 Oct 2024
Efficient Model-Based Reinforcement Learning Through Optimistic Thompson Sampling Jasmine Bayrooti Carl Henrik Ek Amanda Prorok 84 0 0 07 Oct 2024
Adaptive Event-triggered Reinforcement Learning Control for Complex Nonlinear Systems Umer Siddique Abhinav Sinha Yongcan Cao 16 0 0 29 Sep 2024
CANDERE-COACH: Reinforcement Learning from Noisy Feedback Yuxuan Li Srijita Das Matthew E. Taylor 26 0 0 23 Sep 2024
Human-Robot Cooperative Distribution Coupling for Hamiltonian-Constrained Social Navigation Weizheng Wang Chao Yu Yu Wang Byung-Cheol Min 263 2 0 20 Sep 2024
Synthesizing Evolving Symbolic Representations for Autonomous Systems Gabriele Sartor A. Oddi R. Rasconi V. Santucci Rosa Meo 51 0 0 18 Sep 2024
Simplex-enabled Safe Continual Learning Machine H. Cao Y. Mao Yihao Cai L. Sha Marco Caccamo 52 3 0 05 Sep 2024
Formal Verification and Control with Conformal Prediction Lars Lindemann Yiqi Zhao Xinyi Yu George J. Pappas Jyotirmoy Deshmukh 84 15 0 31 Aug 2024
Directed Exploration in Reinforcement Learning from Linear Temporal Logic Marco Bagatella Andreas Krause Georg Martius OffRL 38 1 0 18 Aug 2024
GNN-Empowered Effective Partial Observation MARL Method for AoI Management in Multi-UAV Network Yuhao Pan Xiucheng Wang Zhiyao Xu Nan Cheng Wenchao Xu Jun-Jie Zhang 43 3 0 18 Aug 2024
Towards Intelligent Cooperative Robotics in Additive Manufacturing: Past, Present and Future Sean Rescsanski Rainer Hebert Azadeh Haghighi Jiong Tang Farhad Imani 33 0 0 09 Aug 2024
Enabling High Data Throughput Reinforcement Learning on GPUs: A Domain Agnostic Framework for Data-Driven Scientific Research Tian Lan Huan Wang Caiming Xiong Silvio Savarese AI4CE 39 0 0 01 Aug 2024
A Policy-Gradient Approach to Solving Imperfect-Information Games with Iterate Convergence Mingyang Liu Gabriele Farina Asuman Ozdaglar 47 2 0 01 Aug 2024
APriCoT: Action Primitives based on Contact-state Transition for In-Hand Tool Manipulation Daichi Saito Atsushi Kanehira Kazuhiro Sasabuchi Naoki Wake Jun Takamatsu Hideki Koike Katsushi Ikeuchi 53 0 0 16 Jul 2024
BadRobot: Jailbreaking Embodied LLMs in the Physical World Hangtao Zhang Chenyu Zhu Xianlong Wang Ziqi Zhou Yichen Wang ... Shengshan Hu Leo Yu Zhang Aishan Liu Peijin Guo Leo Yu Zhang LM&Ro 67 2 0 16 Jul 2024
Towards Adapting Reinforcement Learning Agents to New Tasks: Insights from Q-Values Ashwin Ramaswamy Ransalu Senanayake 32 0 0 14 Jul 2024
Towards Interpretable Foundation Models of Robot Behavior: A Task Specific Policy Generation Approach Isaac S. Sheidlower Reuben M. Aronson E. Short 62 0 0 10 Jul 2024
On Bellman equations for continuous-time policy evaluation I: discretization and approximation Wenlong Mou Yuhua Zhu OffRL 52 2 0 08 Jul 2024
Rod models in continuum and soft robot control: a review Carlo Alessi Camilla Agabiti Daniele Caradonna Cecilia Laschi F. Renda Egidio Falotico AI4CE 45 5 0 08 Jul 2024
Variable Time Step Reinforcement Learning for Robotic Applications Dong Wang Giovanni Beltrame 69 0 0 29 Jun 2024
Text2Robot: Evolutionary Robot Design from Text Descriptions Ryan P. Ringel Zachary S. Charlick Jiaxun Liu Boxi Xia Boyuan Chen 72 2 0 28 Jun 2024
Imagining In-distribution States: How Predictable Robot Behavior Can Enable User Control Over Learned Policies Isaac S. Sheidlower Emma Bethel Douglas Lilly Reuben M. Aronson E. Short 39 0 0 19 Jun 2024
Failures Are Fated, But Can Be Faded: Characterizing and Mitigating Unwanted Behaviors in Large-Scale Vision and Language Models Som Sagar Aditya Taparia Ransalu Senanayake 50 10 0 11 Jun 2024
Optimal Gait Control for a Tendon-driven Soft Quadruped Robot by Model-based Reinforcement Learning Xuezhi Niu Kaige Tan Lei Feng 28 0 0 11 Jun 2024
Optimal Gait Design for a Soft Quadruped Robot via Multi-fidelity Bayesian Optimization Kaige Tan Xuezhi Niu Qinglei Ji Lei Feng Martin Törngren 50 1 0 11 Jun 2024
Aligning Large Language Models with Representation Editing: A Control Perspective Lingkai Kong Haorui Wang Wenhao Mu Yuanqi Du Yuchen Zhuang Yifei Zhou Yue Song Rongzhi Zhang Kai Wang Chao Zhang 43 23 0 10 Jun 2024
Task and Motion Planning for Execution in the Real Tianyang Pan Rahul Shome Lydia E. Kavraki 69 2 0 05 Jun 2024
SaVeR: Optimal Data Collection Strategy for Safe Policy Evaluation in Tabular MDP Subhojyoti Mukherjee Josiah P. Hanna Robert Nowak OffRL 56 0 0 04 Jun 2024
MOSEAC: Streamlined Variable Time Step Reinforcement Learning Dong Wang Giovanni Beltrame 35 1 0 03 Jun 2024
Learning-based legged locomotion; state of the art and future perspectives Sehoon Ha Joonho Lee M. van de Panne Zhaoming Xie Wenhao Yu Majid Khadiv 53 17 0 03 Jun 2024
Learning Multimodal Behaviors from Scratch with Diffusion Policy Gradient Zechu Li Rickmer Krohn Tao Chen Anurag Ajay Pulkit Agrawal Georgia Chalvatzaki DiffM 67 10 0 02 Jun 2024
Combining RL and IL using a dynamic, performance-based modulation over learning signals and its application to local planning Francisco Leiva Javier Ruiz-del-Solar 21 1 0 16 May 2024