大模型推理能力

Efficient Multi-agent Reinforcement Learning by Planning

Qihan Liu, Jianing Ye, Xiaoteng Ma, Jun Yang, Bin Liang, Chongjie Zhang

专题命中 规划推理 ：planning(title,abstract)；分类 cs.AI、cs.LG

Comments ICLR2024

ARDDQN: Attention Recurrent Double Deep Q-Network for UAV Coverage Path Planning and Data Harvesting

Praveen Kumar, Priyadarshni, Rajiv Misra

专题命中 规划推理 ：planning(title,abstract)；分类 cs.AI、cs.LG

ViCor: Bridging Visual Understanding and Commonsense Reasoning with Large Language Models

Kaiwen Zhou, Kwonjoon Lee, Teruhisa Misu, Xin Eric Wang

专题命中 规划推理 ：reasoning(title,abstract)；分类 cs.CL、cs.AI

Large Language Models as Planning Domain Generators

James Oswald, Kavitha Srinivas, Harsha Kokel, Junkyu Lee, Michael Katz, Shirin Sohrabi

专题命中 规划推理 ：planning(title,abstract)；分类 cs.CL、cs.AI

Comments Published at ICAPS 2024

What Planning Problems Can A Relational Neural Network Solve?

Jiayuan Mao, Tomás Lozano-Pérez, Joshua B. Tenenbaum, Leslie Pack Kaelbling

专题命中 规划推理 ：planning(title,abstract)；分类 cs.AI、cs.LG

Comments NeurIPS 2023 (Spotlight). Project page: https://concepts-ai.com/p/goal-regression-width/

Random Network Distillation Based Deep Reinforcement Learning for AGV Path Planning

Huilin Yin, Shengkai Su, Yinjia Lin, Pengju Zhen, Karin Festl, Daniel Watzenig

专题命中 规划推理 ：planning(title,abstract)；分类 cs.AI、cs.LG

Comments 6 pages, 8 figures

Generative Probabilistic Planning for Optimizing Supply Chain Networks

Hyung-il Ahn, Santiago Olivar, Hershel Mehta, Young Chol Song

专题命中 规划推理 ：planning(title,abstract)；分类 cs.AI、cs.LG

Dual policy as self-model for planning

Jaesung Yoo, Fernanda de la Torre, Guangyu Robert Yang

专题命中 规划推理 ：planning(title,abstract)；分类 cs.AI、cs.LG

Target-constrained Bidirectional Planning for Generation of Target-oriented Proactive Dialogue

Jian Wang, Dongding Lin, Wenjie Li

专题命中 规划推理 ：planning(title,abstract)；分类 cs.CL、cs.AI

Comments Accepted by ACM Transactions on Information Systems (TOIS)

When in Doubt, Think Slow: Iterative Reasoning with Latent Imagination

Martin Benfeghoul, Umais Zahid, Qinghai Guo, Zafeirios Fountas

专题命中 规划推理 ：reasoning(title)；planning(abstract)；分类 cs.AI、cs.LG

Vision-Language Interpreter for Robot Task Planning

Keisuke Shirai, Cristian C. Beltran-Hernandez, Masashi Hamaya, Atsushi Hashimoto, Shohei Tanaka, Kento Kawaharazuka, Kazutoshi Tanaka, Yoshitaka Ushiku, Shinsuke Mori

专题命中 规划推理 ：planning(title,abstract)；分类 cs.CL、cs.AI

Comments ICRA 2024

Preemptive Motion Planning for Human-to-Robot Indirect Placement Handovers

Andrew Choi, Mohammad Khalid Jawed, Jungseock Joo

专题命中 规划推理 ：planning(title,abstract)；分类 cs.AI、cs.LG

Comments IEEE International Conference on Robotics and Automation (ICRA 2022). Supplementary videos: https://pmp-human-to-robot.github.io/

Learning Cognitive Maps from Transformer Representations for Efficient Planning in Partially Observed Environments

Antoine Dedieu, Wolfgang Lehrach, Guangyao Zhou, Dileep George, Miguel Lázaro-Gredilla

专题命中 规划推理 ：planning(title,abstract)；分类 cs.AI、cs.LG

Pangu-Agent: A Fine-Tunable Generalist Agent with Structured Reasoning

Filippos Christianos, Georgios Papoudakis, Matthieu Zimmer, Thomas Coste, Zhihao Wu, Jingxuan Chen, Khyati Khandelwal, James Doran, Xidong Feng, Jiacheng Liu, Zheng Xiong, Yicheng Luo, Jianye Hao, Kun Shao, Haitham Bou-Ammar, Jun Wang

专题命中 规划推理 ：reasoning(title,abstract)；分类 cs.AI、cs.LG

Comments paper and appendix, 27 pages

Multiagent Inverse Reinforcement Learning via Theory of Mind Reasoning

Haochen Wu, Pedro Sequeira, David V. Pynadath

专题命中 规划推理 ：reasoning(title,abstract)；分类 cs.AI、cs.LG

Comments Accepted as a full paper at AAMAS2023

Journal ref AAMAS (2023) 708-716

Multi-level Reasoning for Robotic Assembly: From Sequence Inference to Contact Selection

Xinghao Zhu, Devesh K. Jha, Diego Romeres, Lingfeng Sun, Masayoshi Tomizuka, Anoop Cherian

专题命中 规划推理 ：reasoning(title)；planning(abstract)；分类 cs.AI、cs.LG

Comments Supplementary video is available at https://www.youtube.com/watch?v=XNYkWSHkAaU&ab_channel=MitsubishiElectricResearchLabs%28MERL%29

ProTIP: Progressive Tool Retrieval Improves Planning

Raviteja Anantha, Bortik Bandyopadhyay, Anirudh Kashi, Sayantan Mahinder, Andrew W Hill, Srinivas Chappidi

专题命中 规划推理 ：planning(title,abstract)；分类 cs.AI、cs.LG

Comments preprint version

Self Generated Wargame AI: Double Layer Agent Task Planning Based on Large Language Model

Y. Sun, J. Zhao, C. Yu, W. Wang, X. Zhou

专题命中 规划推理 ：planning(title,abstract)；分类 cs.CL、cs.AI

Learning adaptive planning representations with natural language guidance

Lionel Wong, Jiayuan Mao, Pratyusha Sharma, Zachary S. Siegel, Jiahai Feng, Noa Korneev, Joshua B. Tenenbaum, Jacob Andreas

专题命中 规划推理 ：planning(title,abstract)；分类 cs.CL、cs.AI

AI planning in the imagination: High-level planning on learned abstract search spaces

Carlos Martin, Tuomas Sandholm

专题命中 规划推理 ：planning(title,abstract)；分类 cs.AI、cs.LG

Skill Reinforcement Learning and Planning for Open-World Long-Horizon Tasks

Haoqi Yuan, Chi Zhang, Hongcheng Wang, Feiyang Xie, Penglin Cai, Hao Dong, Zongqing Lu

专题命中 规划推理 ：planning(title,abstract)；分类 cs.AI、cs.LG

Comments 24 pages, presented in Foundation Models for Decision Making Workshop at NeurIPS 2023

MANER: Multi-Agent Neural Rearrangement Planning of Objects in Cluttered Environments

Vivek Gupta, Praphpreet Dhir, Jeegn Dani, Ahmed H. Qureshi

专题命中 规划推理 ：planning(title,abstract)；分类 cs.AI、cs.LG

Comments The videos and supplementary material are available at https://sites.google.com/view/maner-supplementary

Journal ref Published in IEEE Robotics and Automation Letters, vol. 8, no. 12, pp. 8295-8302, Dec. 2023

Safe multi-agent motion planning under uncertainty for drones using filtered reinforcement learning

Sleiman Safaoui, Abraham P. Vinod, Ankush Chakrabarty, Rien Quirynen, Nobuyuki Yoshikawa, Stefano Di Cairano

专题命中 规划推理 ：planning(title,abstract)；分类 cs.AI、cs.LG

Transformer-based Planning for Symbolic Regression

Parshin Shojaee, Kazem Meidani, Amir Barati Farimani, Chandan K. Reddy

专题命中 规划推理 ：planning(title,abstract)；分类 cs.AI、cs.LG

Comments NeurIPS 2023. Project code at: https://github.com/deep-symbolic-mathematics/TPSR

Neurosymbolic Reinforcement Learning and Planning: A Survey

K. Acharya, W. Raza, C. M. J. M. Dourado, A. Velasquez, H. Song

专题命中 规划推理 ：planning(title)；reasoning(abstract)；分类 cs.AI、cs.LG

Comments 16 pages, 9 figures, IEEE Transactions on Artificial Intelligence

EnsembleFollower: A Hybrid Car-Following Framework Based On Reinforcement Learning and Hierarchical Planning

Xu Han, Xianda Chen, Meixin Zhu, Pinlong Cai, Jianshan Zhou, Xiaowen Chu

专题命中 规划推理 ：planning(title,abstract)；分类 cs.AI、cs.LG

Comments 12 pages, 10 figures

Learning NP-Hard Multi-Agent Assignment Planning using GNN: Inference on a Random Graph and Provable Auction-Fitted Q-learning

Hyunwook Kang, Taehwan Kwon, Jinkyoo Park, James R. Morrison

专题命中 规划推理 ：planning(title,abstract)；分类 cs.AI、cs.LG

Journal ref Neural Information Processing Systems (NeurIPS) 2022

Asynchronous, Option-Based Multi-Agent Policy Gradient: A Conditional Reasoning Approach

Xubo Lyu, Amin Banitalebi-Dehkordi, Mo Chen, Yong Zhang

专题命中 规划推理 ：reasoning(title,abstract)；分类 cs.AI、cs.LG

Comments Accepted by IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023

DPBERT: Efficient Inference for BERT based on Dynamic Planning

Weixin Wu, Hankz Hankui Zhuo

专题命中 规划推理 ：planning(title,abstract)；分类 cs.CL、cs.AI

Crowd Safety Manager: Towards Data-Driven Active Decision Support for Planning and Control of Crowd Events

Panchamy Krishnakumari, Sascha Hoogendoorn-Lanser, Jeroen Steenbakkers, Serge Hoogendoorn

专题命中 规划推理 ：planning(title,abstract)；分类 cs.AI、cs.LG

Comments Submitted to TRB Annual Meeting 2024