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1655 papers in this venue.

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578 result(s) for “Representation Learning” Page 4 of 12
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Using Learning Curve Predictions to Learn from Incorrect Feedback
Taylor Kessler Faulkner, Andrea Lockerd Thomaz
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Learning Risk-Aware Costmaps Via Inverse Reinforcement Learning for Off-Road Navigation
Samuel Triest, Mateo Guaman Castro, Parv Maheshwari, Matthew Sivaprakasam, Wenshan Wang, Sebastian Scherer
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Grey-Box Learning of Adaptive Manipulation Primitives for Robotic Assembly
Marco Braun, Sebastian Wrede
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Benchmarking Reinforcement Learning Techniques for Autonomous Navigation
Zifan Xu, Bo Liu, Xuesu Xiao, Anirudh Nair, Peter Stone
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Uncertainty-Guided Active Reinforcement Learning with Bayesian Neural Networks
Xinyang Wu, Mohamed El-Shamouty, Christof Nitsche, Marco F. Huber
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GAN-Based Interactive Reinforcement Learning from Demonstration and Human Evaluative Feedback
Jie Huang, Jiangshan Hao, Rongshun Juan, Randy Gomez, Keisuke Nakamura, Guangliang Li
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Guided Reinforcement Learning � A Review and Evaluation for Efficient and Effective Real-World Robotics
Julian Eßer, Nicolas Bach, Christian Jestel, Oliver Urbann, Sören Kerner
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Learning Stable Dynamics Via Iterative Quadratic Programming
Paul Gesel, Momotaz Begum
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Safeguarding Learning-Based Planners under Motion and Sensing Uncertainties Using Reachability Analysis
Akshay Shetty, Adam Dai, Alexandros Tzikas, Grace Gao
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Sample-Driven Connectivity Learning for Motion Planning
Sihui Li, Neil Dantam
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SEIL: Simulation-augmented Equivariant Imitation Learning
Mingxi Jia, Dian Wang, Guanang Su, David Klee, Xupeng Zhu, Robin Walters, Robert Platt
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Reinforcement Learning for Laser Welding Speed Control Minimizing Bead Width Error
Toshimitsu Kaneko, Gaku Minamoto, Yusuke Hirose, Tetsuo Sakai
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Real World Offline Reinforcement Learning with Realistic Data Source
Gaoyue Zhou, Liyiming Ke, Siddhartha Srinivasa, Abhinav Gupta, Aravind Rajeswaran, Vikash Kumar
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Guiding Reinforcement Learning with Shared Control Templates
Abhishek Padalkar, Gabriel Quere, Franz Steinmetz, Antonin Raffin, Matthias Nieuwenhuisen, João Silvério, Freek Stulp
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Learning Augmented, Multi-Robot Long-Horizon Navigation in Partially Mapped Environments
Abhish Khanal, Gregory Stein
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FewSOL: A Dataset for Few-Shot Object Learning in Robotic Environments
Jishnu Jaykumar P, Yu-Wei Chao, Yu Xiang
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Dexterous Imitation Made Easy: A Learning-Based Framework for Efficient Dexterous Manipulation
Sridhar Pandian Arunachalam, Sneha Silwal, Ben Evans, Lerrel Pinto
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Agile and Versatile Robot Locomotion Via Kernel-Based Residual Learning
Milo Carroll, Zhaocheng Liu, Mohammadreza Kasaei, Zhibin Li
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Learning to Forecast Aleatoric and Epistemic Uncertainties Over Long Horizon Trajectories
Aastha Acharya, Rebecca Russell, Nisar Ahmed
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Minimizing Human Assistance: Augmenting a Single Demonstration for Deep Reinforcement Learning
Abraham George, Alison Bartsch, Amir Barati Farimani
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Generating a Terrain-Robustness Benchmark for Legged Locomotion: A Prototype Via Terrain Authoring and Active Learning
Chong Zhang, Lizhi Yang
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Meta-Reinforcement Learning Via Language Instructions
Zhenshan Bing, Alexander Koch, Xiangtong Yao, Kai Huang, Alois Knoll
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Biomimetic Force and Impedance Adaptation Based on Broad Learning System in Stable and Unstable Tasks
Zhenyu Lu, Ning Wang
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Seq2Seq Imitation Learning for Tactile Feedback-Based Manipulation
Wenyan Yang, Alexandre Angleraud, Roel S. Pieters, Joni Pajarinen, Joni-Kristian Kamarainen
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Benchmarking Potential Based Rewards for Learning Humanoid Locomotion
Se Hwan Jeon, Steve Heim, Charles Khazoom, Sangbae Kim
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Using Memory-Based Learning to Solve Tasks with State-Action Constraints
Mrinal Verghese, Christopher Atkeson
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Just Round: Quantized Observation Spaces Enable Memory Efficient Learning of Dynamic Locomotion
Lev Grossman, Brian Plancher
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Comparison of Model-Based and Model-Free Reinforcement Learning for Real-World Dexterous Robotic Manipulation Tasks
David Patricio Valencia Redrovan, John Jia, Raymond Li, Alex Hayashi, Megan Lecchi, Reuel Terezakis, Trevor Gee, Minas Liarokapis, Bruce MacDonald, Henry Williams
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SoLo T-DIRL: Socially-Aware Dynamic Local Planner Based on Trajectory-Ranked Deep Inverse Reinforcement Learning
Yifan Xu, Theodor Chakhachiro, Tribhi Kathuria, Maani Ghaffari
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Automated Action Evaluation for Robotic Imitation Learning Via Siamese Neural Networks
Xiang Chang, Fei Chao, Changjing Shang, Qiang Shen
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Dynamical System-Based Imitation Learning for Visual Servoing Using the Large Projection Formulation
Antonio Paolillo, Paolo Robuffo Giordano, Matteo Saveriano
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Learning Continuous Control Policies for Information-Theoretic Active Perception
Pengzhi Yang, YUHAN LIU, Shumon Koga, Arash Asgharivaskasi, Nikolay Atanasov
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Sim-To-Real: Learning Energy-Efficient Slithering Gaits for a Snake-Like Robot
Zhenshan Bing, Long Cheng, Kai Huang, Alois Knoll
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Demonstration-Bootstrapped Autonomous Practicing Via Multi-Task Reinforcement Learning
Abhishek Gupta, Corey Lynch, Brandon Kinman, Garrett Peake, Sergey Levine, Karol Hausman
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Visuo-Tactile Recognition of Partial Point Clouds Using PointNet and Curriculum Learning
Christopher Parsons, Alessandro Albini, Daniele De Martini, Perla Maiolino
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Generating Stable and Collision-Free Policies through Lyapunov Function Learning
Coulombe Alexandre, Hsiu-Chin Lin
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Learning to Walk by Steering: Perceptive Quadrupedal Locomotion in Dynamic Environments
Mingyo Seo, Ryan Gupta, Yifeng Zhu, Alexy Skoutnev, Luis Sentis, Yuke Zhu
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Option-Aware Adversarial Inverse Reinforcement Learning for Robotic Control
Jiayu Chen, Tian Lan, Vaneet Aggarwal
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Efficient Learning of Locomotion Skills through the Discovery of Diverse Environmental Trajectory Generator Priors
Shikha Surana, Bryan Wei Tern Lim, Antoine Cully
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Learning Decoupled Multi-touch Force Estimation, Localization and Stretch for Soft Capacitive E-skin
Abu Bakar Dawood, Claudio Coppola, Kaspar Althoefer
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Reinforcement Learning-Based Optimal Multiple Waypoint Navigation
Christos Vlachos, Panagiotis Rousseas, Charalampos Bechlioulis, Kostas Kyriakopoulos
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SHAIL: Safety-Aware Hierarchical Adversarial Imitation Learning for Autonomous Driving in Urban Environments
Arec Jamgochian, Etienne Buehrle, Johannes Fischer, Mykel Kochenderfer
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Learning Generalizable Pivoting Skills
Xiang Zhang, Siddarth Jain, Baichuan Huang, Masayoshi Tomizuka, Diego Romeres
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Model Learning with Backlash Compensation for a Tendon-Driven Surgical Robot
Francesco Cursi, Weibang Bai, Eric Yeatman, Petar Kormushev
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Tumbling Robot Control Using Reinforcement Learning
Andrew Schwartzwald, Matthew Tlachac, Luis Guzman, Athanasios Bacharis, Nikos Papanikolopoulos
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Automating Reinforcement Learning with Example-Based Resets
Jigang Kim, J. hyeon Park, Daesol Cho, H. Jin Kim
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Expanding the Deployment Envelope of Behavior Prediction Via Adaptive Meta-Learning
Boris Ivanovic, James Harrison, Marco Pavone
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Show Me What You Want: Inverse Reinforcement Learning to Automatically Design Robot Swarms by Demonstration
Ilyes Gharbi, Jonas Kuckling, David Garzón Ramos, Mauro Birattari
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Security-Aware Reinforcement Learning under Linear Temporal Logic Specifications
Bohan Cui, Keyi Zhu, Shaoyuan Li, Xiang Yin
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SEER: Safe Efficient Exploration for Aerial Robots Using Learning to Predict Information Gain
Yuezhan Tao, Yuwei Wu, Beiming Li, Fernando Cladera Ojeda, Alex Zhou, Dinesh Thakur, Vijay Kumar
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