学习 分类论文(5,494)
清除筛选 ✕Dynamics Generalisation in Reinforcement Learning via Adaptive Context-Aware Policies
Michael Beukman, Devon Jarvis, Richard Klein 等 5 位作者
2023
Multi-Agent Reinforcement Learning-Based UAV Pathfinding for Obstacle Avoidance in Stochastic Environment
Qizhen Wu, Kexin Liu, Lei Chen 等 4 位作者
2023
Neural Potential Field for Obstacle-Aware Local Motion Planning
Muhammad Alhaddad, Konstantin Mironov, Aleksey Staroverov 等 4 位作者
2023
Reinforcement learning based local path planning for mobile robot
Mehmet Gok, Mehmet Tekerek, Hamza Aydemir
2023
Finetuning Offline World Models in the Real World
Yunhai Feng, Nicklas Hansen, Ziyan Xiong 等 5 位作者
2023
tagE: Enabling an Embodied Agent to Understand Human Instructions
Chayan Sarkar, Avik Mitra, Pradip Pramanick 等 4 位作者
2023
Learning to Discern: Imitating Heterogeneous Human Demonstrations with Preference and Representation Learning
Sachit Kuhar, Shuo Cheng, Shivang Chopra 等 5 位作者
2023
Enhanced Low-Dimensional Sensing Mapless Navigation of Terrestrial Mobile Robots Using Double Deep Reinforcement Learning Techniques
Linda Dotto de Moraes, Victor Augusto Kich, Alisson Henrique Kolling 等 7 位作者
2023
RoseNet: Predicting Energy Metrics of Double InDel Mutants Using Deep Learning
Sarah Coffland, Katie Christensen, Filip Jagodzinski 等 4 位作者
2023
Contrastive Preference Learning: Learning from Human Feedback without RL
Joey Hejna, Rafael Rafailov, Harshit Sikchi 等 7 位作者
2023
PathRL: An End-to-End Path Generation Method for Collision Avoidance via Deep Reinforcement Learning
Wenhao Yu, Jie Peng, Quecheng Qiu 等 6 位作者
2023
How Can Everyday Users Efficiently Teach Robots by Demonstrations?
Maram Sakr, Zhikai Zhang, Benjamin Li 等 7 位作者
2023
Few-Shot In-Context Imitation Learning via Implicit Graph Alignment
Vitalis Vosylius, Edward Johns
2023
Quality Diversity through Human Feedback: Towards Open-Ended Diversity-Driven Optimization
Li Ding, Jenny Zhang, Jeff Clune 等 5 位作者
2023
Neural Packing: from Visual Sensing to Reinforcement Learning
Juzhan Xu, Minglun Gong, Hao Zhang 等 5 位作者
2023
Reaching the Limit in Autonomous Racing: Optimal Control versus Reinforcement Learning
Yunlong Song, Angel Romero, Matthias Mueller 等 5 位作者
2023
HIO-SDF: Hierarchical Incremental Online Signed Distance Fields
Vasileios Vasilopoulos, Suveer Garg, Jinwook Huh 等 5 位作者
2023
LgTS: Dynamic Task Sampling using LLM-generated sub-goals for Reinforcement Learning Agents
Yash Shukla, Wenchang Gao, Vasanth Sarathy 等 6 位作者
2023
An Unbiased Look at Datasets for Visuo-Motor Pre-Training
Sudeep Dasari, Mohan Kumar Srirama, Unnat Jain 等 4 位作者
2023
A Framework for Few-Shot Policy Transfer through Observation Mapping and Behavior Cloning
Yash Shukla, Bharat Kesari, Shivam Goel 等 5 位作者
2023
ELDEN: Exploration via Local Dependencies
Jiaheng Hu, Zizhao Wang, Peter Stone 等 4 位作者
2023
Reinforcement Learning of Display Transfer Robots in Glass Flow Control Systems: A Physical Simulation-Based Approach
Hwajong Lee, Chan Kim, Seong-Woo Kim
2023
Unraveling the Single Tangent Space Fallacy: An Analysis and Clarification for Applying Riemannian Geometry in Robot Learning
Noémie Jaquier, Leonel Rozo, Tamim Asfour
2023
ASV Station Keeping under Wind Disturbances using Neural Network Simulation Error Minimization Model Predictive Control
Jalil Chavez-Galaviz, Jianwen Li, Ajinkya Chaudhary 等 4 位作者
2023