机器人 / 具身智能 - arXivDaily 专题

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

2407.16220 2024-07-24 cs.AI cs.LG 62%

ODGR: Online Dynamic Goal Recognition

Matan Shamir, Osher Elhadad, Matthew E. Taylor, Reuth Mirsky

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

Comments 8 pages, 1 figure, RLC workshop, WAHT workshop

2407.15626 2024-07-23 cs.CV cs.RO 62%

Reinforcement Learning Meets Visual Odometry

Nico Messikommer, Giovanni Cioffi, Mathias Gehrig, Davide Scaramuzza

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

Journal ref European Conference on Computer Vision (ECCV 2024)

2405.19883 2024-07-23 cs.LG cs.AI cs.CL 62%

From Words to Actions: Unveiling the Theoretical Underpinnings of LLM-Driven Autonomous Systems

Jianliang He, Siyu Chen, Fengzhuo Zhang, Zhuoran Yang

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

Comments 47 pages, accepted by ICML 2024

2407.12437 2024-07-18 cs.LG cs.AI 62%

Variable-Agnostic Causal Exploration for Reinforcement Learning

Minh Hoang Nguyen, Hung Le, Svetha Venkatesh

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

2312.01203 2024-07-16 cs.LG cs.AI 62%

Harnessing Discrete Representations For Continual Reinforcement Learning

Edan Meyer, Adam White, Marlos C. Machado

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

Comments 23 pages, 16 figures, accepted to RLC 2024

2407.09415 2024-07-15 cs.AI cs.LG 62%

A Benchmark Environment for Offline Reinforcement Learning in Racing Games

Girolamo Macaluso, Alessandro Sestini, Andrew D. Bagdanov

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

Comments Accepted at IEEE Conference on Games

2305.12751 2024-07-15 cs.SE cs.AI cs.LG 62%

Testing of Deep Reinforcement Learning Agents with Surrogate Models

Matteo Biagiola, Paolo Tonella

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

Journal ref Trans. Softw. Eng. Methodol. 33, 3, Article 73 (March 2024)

2304.05008 2024-07-09 cs.LG cs.AI 62%

Habits and goals in synergy: a variational Bayesian framework for behavior

Dongqi Han, Kenji Doya, Dongsheng Li, Jun Tani

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

Journal ref Nat Commun 15, 4461 (2024)

2407.04803 2024-07-09 cs.LG cs.AI 62%

The Impact of Quantization and Pruning on Deep Reinforcement Learning Models

Heng Lu, Mehdi Alemi, Reza Rawassizadeh

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

2308.15143 2024-07-09 cs.RO cs.AI 62%

Lifelike Agility and Play in Quadrupedal Robots using Reinforcement Learning and Generative Pre-trained Models

Lei Han, Qingxu Zhu, Jiapeng Sheng, Chong Zhang, Tingguang Li, Yizheng Zhang, He Zhang, Yuzhen Liu, Cheng Zhou, Rui Zhao, Jie Li, Yufeng Zhang, Rui Wang, Wanchao Chi, Xiong Li, Yonghui Zhu, Lingzhu Xiang, Xiao Teng, Zhengyou Zhang

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

Comments Published in Nature Machine Intelligence, Vol. 7, 2024

Journal ref Nature Machine Intelligence, Vol. 7, 2024

2407.04343 2024-07-08 cs.RO cs.LG 62%

Enhancing Safety for Autonomous Agents in Partly Concealed Urban Traffic Environments Through Representation-Based Shielding

Pierre Haritz, David Wanke, Thomas Liebig

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

2402.04894 2024-07-08 cs.RO cs.LG 62%

Deep Reinforcement Learning with Dynamic Graphs for Adaptive Informative Path Planning

Apoorva Vashisth, Julius Rückin, Federico Magistri, Cyrill Stachniss, Marija Popović

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

Comments 8 pages, 6 figures

2407.02231 2024-07-03 cs.RO cs.LG 62%

Safety-Driven Deep Reinforcement Learning Framework for Cobots: A Sim2Real Approach

Ammar N. Abbas, Shakra Mehak, Georgios C. Chasparis, John D. Kelleher, Michael Guilfoyle, Maria Chiara Leva, Aswin K Ramasubramanian

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

Comments This paper has been accepted for publication in the proceedings of the IEEE/IFAC International Conference on Control, Decision, and Information Technologies (CoDIT), 2024

2406.20083 2024-07-01 cs.RO cs.CV 62%

PoliFormer: Scaling On-Policy RL with Transformers Results in Masterful Navigators

Kuo-Hao Zeng, Zichen Zhang, Kiana Ehsani, Rose Hendrix, Jordi Salvador, Alvaro Herrasti, Ross Girshick, Aniruddha Kembhavi, Luca Weihs

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

2406.08854 2024-06-14 cs.LG cs.AI 62%

Current applications and potential future directions of reinforcement learning-based Digital Twins in agriculture

Georg Goldenits, Kevin Mallinger, Sebastian Raubitzek, Thomas Neubauer

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

2406.08238 2024-06-13 cs.LG cs.RO 62%

Residual Learning and Context Encoding for Adaptive Offline-to-Online Reinforcement Learning

Mohammadreza Nakhaei, Aidan Scannell, Joni Pajarinen

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

Comments 10 pages, 5 figures, 1 table. Accepted at L4DC 2024

2306.16978 2024-06-10 cs.RO cs.LG cs.SY eess.SY 62%

Learning Coverage Paths in Unknown Environments with Deep Reinforcement Learning

Arvi Jonnarth, Jie Zhao, Michael Felsberg

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

Comments Accepted to the 41st International Conference on Machine Learning (ICML), 2024

2406.02764 2024-06-06 cs.LG cs.AI 62%

Adaptive Preference Scaling for Reinforcement Learning with Human Feedback

Ilgee Hong, Zichong Li, Alexander Bukharin, Yixiao Li, Haoming Jiang, Tianbao Yang, Tuo Zhao

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

2406.02598 2024-06-06 cs.LG cs.AI 62%

Towards Learning Foundation Models for Heuristic Functions to Solve Pathfinding Problems

Vedant Khandelwal, Amit Sheth, Forest Agostinelli

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 4131 篇

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

ODGR: Online Dynamic Goal Recognition

Reinforcement Learning Meets Visual Odometry

From Words to Actions: Unveiling the Theoretical Underpinnings of LLM-Driven Autonomous Systems

Variable-Agnostic Causal Exploration for Reinforcement Learning

Harnessing Discrete Representations For Continual Reinforcement Learning

A Benchmark Environment for Offline Reinforcement Learning in Racing Games

Testing of Deep Reinforcement Learning Agents with Surrogate Models

Habits and goals in synergy: a variational Bayesian framework for behavior

The Impact of Quantization and Pruning on Deep Reinforcement Learning Models

Lifelike Agility and Play in Quadrupedal Robots using Reinforcement Learning and Generative Pre-trained Models

Enhancing Safety for Autonomous Agents in Partly Concealed Urban Traffic Environments Through Representation-Based Shielding

Deep Reinforcement Learning with Dynamic Graphs for Adaptive Informative Path Planning

Safety-Driven Deep Reinforcement Learning Framework for Cobots: A Sim2Real Approach

PoliFormer: Scaling On-Policy RL with Transformers Results in Masterful Navigators

Current applications and potential future directions of reinforcement learning-based Digital Twins in agriculture

Residual Learning and Context Encoding for Adaptive Offline-to-Online Reinforcement Learning

Learning Coverage Paths in Unknown Environments with Deep Reinforcement Learning

Adaptive Preference Scaling for Reinforcement Learning with Human Feedback

Towards Learning Foundation Models for Heuristic Functions to Solve Pathfinding Problems