机器人 / 具身智能 - arXivDaily 专题

2410.11359 2024-10-16 cs.LG cs.RO stat.ML 62%

DODT: Enhanced Online Decision Transformer Learning through Dreamer's Actor-Critic Trajectory Forecasting

Eric Hanchen Jiang, Zhi Zhang, Dinghuai Zhang, Andrew Lizarraga, Chenheng Xu, Yasi Zhang, Siyan Zhao, Zhengjie Xu, Peiyu Yu, Yuer Tang, Deqian Kong, Ying Nian Wu

专题命中模仿学习与强化学习：world model(abstract)；分类 cs.RO、cs.LG

2410.07525 2024-10-15 cs.LG cs.AI 62%

Offline Inverse Constrained Reinforcement Learning for Safe-Critical Decision Making in Healthcare

Nan Fang, Guiliang Liu, Wei Gong

专题命中模仿学习与强化学习：world model(abstract)；分类 cs.AI、cs.LG

2410.04322 2024-10-08 cs.SE cs.AI cs.LG 62%

Toward Debugging Deep Reinforcement Learning Programs with RLExplorer

Rached Bouchoucha, Ahmed Haj Yahmed, Darshan Patil, Janarthanan Rajendran, Amin Nikanjam, Sarath Chandar, Foutse Khomh

专题命中模仿学习与强化学习：robotics(abstract)；分类 cs.AI、cs.LG

Comments Accepted for publication in The International Conference on Software Maintenance and Evolution (ICSME 2024)

2410.00490 2024-10-02 cs.RO cs.AI 62%

Learning Adaptive Hydrodynamic Models Using Neural ODEs in Complex Conditions

Cong Wang, Aoming Liang, Fei Han, Xinyu Zeng, Zhibin Li, Dixia Fan, Jens Kober

专题命中模仿学习与强化学习：robotic(abstract)；分类 cs.RO、cs.AI

Comments 8 pages, 7 figures

2408.15980 2024-10-01 cs.RO cs.AI 62%

In-Context Imitation Learning via Next-Token Prediction

Letian Fu, Huang Huang, Gaurav Datta, Lawrence Yunliang Chen, William Chung-Ho Panitch, Fangchen Liu, Hui Li, Ken Goldberg

专题命中模仿学习与强化学习：robotics(abstract)；分类 cs.RO、cs.AI

2404.02569 2024-09-27 cs.RO cs.AI 62%

SliceIt! -- A Dual Simulator Framework for Learning Robot Food Slicing

Cristian C. Beltran-Hernandez, Nicolas Erbetti, Masashi Hamaya

专题命中模仿学习与强化学习：robotic(abstract)；分类 cs.RO、cs.AI

Comments Accepted to ICRA 2024

2409.16830 2024-09-26 cs.RO cs.AI 62%

OffRIPP: Offline RL-based Informative Path Planning

Srikar Babu Gadipudi, Srujan Deolasee, Siva Kailas, Wenhao Luo, Katia Sycara, Woojun Kim

专题命中模仿学习与强化学习：robotics(abstract)；分类 cs.RO、cs.AI

Comments 7 pages, 6 figures, submitted to ICRA 2025

2409.13423 2024-09-23 cs.RO cs.LG 62%

Causal Reinforcement Learning for Optimisation of Robot Dynamics in Unknown Environments

Julian Gerald Dcruz, Sam Mahoney, Jia Yun Chua, Adoundeth Soukhabandith, John Mugabe, Weisi Guo, Miguel Arana-Catania

专题命中模仿学习与强化学习：robotics(abstract)；分类 cs.RO、cs.LG

Comments 6 pages, 12 figures, 3 tables. To be presented in 10th IEEE International Smart Cities Conference (ISC2-2024)

2409.11897 2024-09-19 cs.RO cs.CR cs.LG 62%

Secure Control Systems for Autonomous Quadrotors against Cyber-Attacks

Samuel Belkadi

专题命中模仿学习与强化学习：robotic(abstract)；分类 cs.RO、cs.LG

Comments The paper is based on an undergraduate thesis and is not intended for publication in a journal

2409.10554 2024-09-18 cs.CV cs.AI 62%

An Examination of Offline-Trained Encoders in Vision-Based Deep Reinforcement Learning for Autonomous Driving

Shawan Mohammed, Alp Argun, Nicolas Bonnotte, Gerd Ascheid

专题命中模仿学习与强化学习：navigation(abstract)；分类 cs.AI、cs.CV

2409.08212 2024-09-17 cs.RO cs.LG 62%

Adaptive Language-Guided Abstraction from Contrastive Explanations

Andi Peng, Belinda Z. Li, Ilia Sucholutsky, Nishanth Kumar, Julie A. Shah, Jacob Andreas, Andreea Bobu

专题命中模仿学习与强化学习：robot learning(abstract)；分类 cs.RO、cs.LG

Comments CoRL 2024

2409.08724 2024-09-16 cs.LG cs.AI 62%

Quasimetric Value Functions with Dense Rewards

Khadichabonu Valieva, Bikramjit Banerjee

专题命中模仿学习与强化学习：robotics(abstract)；分类 cs.AI、cs.LG

2409.03881 2024-09-09 cs.RO cs.AI cs.MA 62%

Multi-agent Path Finding for Mixed Autonomy Traffic Coordination

Han Zheng, Zhongxia Yan, Cathy Wu

专题命中模仿学习与强化学习：robotics(abstract)；分类 cs.RO、cs.AI

2409.03429 2024-09-06 cs.RO cs.AI 62%

Reinforcement Learning Approach to Optimizing Profilometric Sensor Trajectories for Surface Inspection

Sara Roos-Hoefgeest, Mario Roos-Hoefgeest, Ignacio Alvarez, Rafael C. González

专题命中模仿学习与强化学习：robotic(abstract)；分类 cs.RO、cs.AI

2409.01046 2024-09-04 cs.RO cs.AI 62%

Accelerated Multi-objective Task Learning using Modified Q-learning Algorithm

Varun Prakash Rajamohan, Senthil Kumar Jagatheesaperumal

专题命中模仿学习与强化学习：robotic(abstract)；分类 cs.RO、cs.AI

Comments 9 pages, 9 figures, 7 tables

Journal ref International Journal of Ad Hoc and Ubiquitous Computing Vol. 47, No. 1, Year: 2024

2408.04841 2024-09-04 cs.LG cs.AI 62%

Kolmogorov-Arnold Network for Online Reinforcement Learning

Victor Augusto Kich, Jair Augusto Bottega, Raul Steinmetz, Ricardo Bedin Grando, Ayano Yorozu, Akihisa Ohya

专题命中模仿学习与强化学习：robotics(abstract)；分类 cs.AI、cs.LG

Comments Paper accepted at 24th International Conference on Control, Automation and Systems (ICCAS)

2406.11481 2024-08-26 cs.LG cs.AI 62%

Constrained Reinforcement Learning with Average Reward Objective: Model-Based and Model-Free Algorithms

Vaneet Aggarwal, Washim Uddin Mondal, Qinbo Bai

专题命中模仿学习与强化学习：robotics(abstract)；分类 cs.AI、cs.LG

Comments arXiv admin note: text overlap with arXiv:2402.02042

Journal ref Foundations and Trends in Optimization: Vol. 6: No. 4, pp 193-298, 2024

2408.10381 2024-08-21 stat.ML cs.AI cs.LG 62%

Efficient Reinforcement Learning in Probabilistic Reward Machines

Xiaofeng Lin, Xuezhou Zhang

专题命中模仿学习与强化学习：robotics(abstract)；分类 cs.AI、cs.LG

Comments 33 pages, 4 figures

2408.09125 2024-08-20 cs.LG cs.AI 62%

Markov Balance Satisfaction Improves Performance in Strictly Batch Offline Imitation Learning

Rishabh Agrawal, Nathan Dahlin, Rahul Jain, Ashutosh Nayyar

专题命中模仿学习与强化学习：robotic(abstract)；分类 cs.AI、cs.LG

2310.15017 2024-08-20 cs.LG cs.AI 62%

Mind the Model, Not the Agent: The Primacy Bias in Model-based RL

Zhongjian Qiao, Jiafei Lyu, Xiu Li

专题命中模仿学习与强化学习：world model(abstract)；分类 cs.AI、cs.LG

Comments Accepted by European Conference on Artificial Intelligence (ECAI) 2024

2408.05804 2024-08-13 cs.LG cs.AI 62%

A Single Goal is All You Need: Skills and Exploration Emerge from Contrastive RL without Rewards, Demonstrations, or Subgoals

Grace Liu, Michael Tang, Benjamin Eysenbach

专题命中模仿学习与强化学习：manipulation(abstract)；分类 cs.AI、cs.LG

Comments Code and videos: https://graliuce.github.io/sgcrl/

2402.14961 2024-08-13 cs.RO cs.LG 62%

Reinforcement Learning with Elastic Time Steps

Dong Wang, Giovanni Beltrame

专题命中模仿学习与强化学习：robotics(abstract)；分类 cs.RO、cs.LG

2310.18247 2024-08-09 cs.LG cs.RO 62%

Guided Data Augmentation for Offline Reinforcement Learning and Imitation Learning

Nicholas E. Corrado, Yuxiao Qu, John U. Balis, Adam Labiosa, Josiah P. Hanna

专题命中模仿学习与强化学习：navigation(abstract)；分类 cs.RO、cs.LG

Comments RLC 2024

2408.01892 2024-08-06 eess.AS cs.AI cs.LG 62%

Re-ENACT: Reinforcement Learning for Emotional Speech Generation using Actor-Critic Strategy

Ravi Shankar, Archana Venkataraman

专题命中模仿学习与强化学习：manipulation(abstract)；分类 cs.AI、cs.LG

Comments 7 pages, 10 figures

2303.10571 2024-08-06 cs.LG cs.CV 62%

Reinforcement Learning Friendly Vision-Language Model for Minecraft

Haobin Jiang, Junpeng Yue, Hao Luo, Ziluo Ding, Zongqing Lu

专题命中模仿学习与强化学习：embodied agent(abstract)；分类 cs.CV、cs.LG

Comments ECCV 2024

2407.20806 2024-07-31 cs.AI cs.LG 62%

ARCLE: The Abstraction and Reasoning Corpus Learning Environment for Reinforcement Learning

Hosung Lee, Sejin Kim, Seungpil Lee, Sanha Hwang, Jihwan Lee, Byung-Jun Lee, Sundong Kim

专题命中模仿学习与强化学习：world model(abstract)；分类 cs.AI、cs.LG

Comments Accepted by CoLLAs 2024, Project page: https://github.com/confeitoHS/arcle

2407.20000 2024-07-30 cs.RO cs.LG 62%

Collision Probability Distribution Estimation via Temporal Difference Learning

Thomas Steinecker, Thorsten Luettel, Mirko Maehlisch

专题命中模仿学习与强化学习：robotics(abstract)；分类 cs.RO、cs.LG

Comments Code: https://github.com/UniBwTAS/CollisionPro

2403.18222 2024-07-30 cs.RO cs.LG 62%

Uncertainty-Aware Deployment of Pre-trained Language-Conditioned Imitation Learning Policies

Bo Wu, Bruce D. Lee, Kostas Daniilidis, Bernadette Bucher, Nikolai Matni

专题命中模仿学习与强化学习：robotic(abstract)；分类 cs.RO、cs.LG

Comments 8 pages, 7 figures

2407.17980 2024-07-26 cs.AI cs.RO 62%

Personalized and Context-aware Route Planning for Edge-assisted Vehicles

Dinesh Cyril Selvaraj, Falko Dressler, Carla Fabiana Chiasserini

专题命中模仿学习与强化学习：navigation(abstract)；分类 cs.RO、cs.AI

2402.06912 2024-07-25 cs.LG cs.AI 62%

Solving Deep Reinforcement Learning Tasks with Evolution Strategies and Linear Policy Networks

Annie Wong, Jacob de Nobel, Thomas Bäck, Aske Plaat, Anna V. Kononova

专题命中模仿学习与强化学习：robotics(abstract)；分类 cs.AI、cs.LG

1. 模仿学习与强化学习 4115 篇

DODT: Enhanced Online Decision Transformer Learning through Dreamer's Actor-Critic Trajectory Forecasting

Offline Inverse Constrained Reinforcement Learning for Safe-Critical Decision Making in Healthcare

Toward Debugging Deep Reinforcement Learning Programs with RLExplorer

Learning Adaptive Hydrodynamic Models Using Neural ODEs in Complex Conditions

In-Context Imitation Learning via Next-Token Prediction

SliceIt! -- A Dual Simulator Framework for Learning Robot Food Slicing

OffRIPP: Offline RL-based Informative Path Planning

Causal Reinforcement Learning for Optimisation of Robot Dynamics in Unknown Environments

Secure Control Systems for Autonomous Quadrotors against Cyber-Attacks

An Examination of Offline-Trained Encoders in Vision-Based Deep Reinforcement Learning for Autonomous Driving

Adaptive Language-Guided Abstraction from Contrastive Explanations

Quasimetric Value Functions with Dense Rewards

Multi-agent Path Finding for Mixed Autonomy Traffic Coordination

Reinforcement Learning Approach to Optimizing Profilometric Sensor Trajectories for Surface Inspection

Accelerated Multi-objective Task Learning using Modified Q-learning Algorithm

Kolmogorov-Arnold Network for Online Reinforcement Learning

Constrained Reinforcement Learning with Average Reward Objective: Model-Based and Model-Free Algorithms

Efficient Reinforcement Learning in Probabilistic Reward Machines

Markov Balance Satisfaction Improves Performance in Strictly Batch Offline Imitation Learning

Mind the Model, Not the Agent: The Primacy Bias in Model-based RL

A Single Goal is All You Need: Skills and Exploration Emerge from Contrastive RL without Rewards, Demonstrations, or Subgoals

Reinforcement Learning with Elastic Time Steps

Guided Data Augmentation for Offline Reinforcement Learning and Imitation Learning

Re-ENACT: Reinforcement Learning for Emotional Speech Generation using Actor-Critic Strategy

Reinforcement Learning Friendly Vision-Language Model for Minecraft

ARCLE: The Abstraction and Reasoning Corpus Learning Environment for Reinforcement Learning

Collision Probability Distribution Estimation via Temporal Difference Learning

Uncertainty-Aware Deployment of Pre-trained Language-Conditioned Imitation Learning Policies

Personalized and Context-aware Route Planning for Edge-assisted Vehicles

Solving Deep Reinforcement Learning Tasks with Evolution Strategies and Linear Policy Networks