大模型推理能力

Accelerating Multi-Agent Planning Using Graph Transformers with Bounded Suboptimality

Chenning Yu, Qingbiao Li, Sicun Gao, Amanda Prorok

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

Comments Accepted by ICRA 2023

Neural Story Planning

Anbang Ye, Christopher Cui, Taiwei Shi, Mark O. Riedl

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

Wall Street Tree Search: Risk-Aware Planning for Offline Reinforcement Learning

Dan Elbaz, Gal Novik, Oren Salzman

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

Comments Accepted to Foundation Models for Decision Making (FMDM) Workshop at 36th Conference on Neural Information Processing Systems (NeurIPS)

D-Point Trigonometric Path Planning based on Q-Learning in Uncertain Environments

Ehsan Jeihaninejad, Azam Rabiee

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

Multi-step Planning for Automated Hyperparameter Optimization with OptFormer

Lucio M. Dery, Abram L. Friesen, Nando De Freitas, Marc'Aurelio Ranzato, Yutian Chen

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

Comments 8 pages, 7 figures

Empowering Language Models with Knowledge Graph Reasoning for Question Answering

Ziniu Hu, Yichong Xu, Wenhao Yu, Shuohang Wang, Ziyi Yang, Chenguang Zhu, Kai-Wei Chang, Yizhou Sun

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

Comments Published on EMNLP 2022

Planning Assembly Sequence with Graph Transformer

Lin Ma, Jiangtao Gong, Hao Xu, Hao Chen, Hao Zhao, Wenbing Huang, Guyue Zhou

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

Comments Submitted to ICRA2023

Policy Gradient With Serial Markov Chain Reasoning

Edoardo Cetin, Oya Celiktutan

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

Comments NeurIPS 2022

Mastering the Game of No-Press Diplomacy via Human-Regularized Reinforcement Learning and Planning

Anton Bakhtin, David J Wu, Adam Lerer, Jonathan Gray, Athul Paul Jacob, Gabriele Farina, Alexander H Miller, Noam Brown

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

1st ICLR International Workshop on Privacy, Accountability, Interpretability, Robustness, Reasoning on Structured Data (PAIR^2Struct)

Hao Wang, Wanyu Lin, Hao He, Di Wang, Chengzhi Mao, Muhan Zhang

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

Performance, Opaqueness, Consequences, and Assumptions: Simple questions for responsible planning of machine learning solutions

Przemyslaw Biecek

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

UMBRELLA: Uncertainty-Aware Model-Based Offline Reinforcement Learning Leveraging Planning

Christopher Diehl, Timo Sievernich, Martin Krüger, Frank Hoffmann, Torsten Bertram

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

Comments Best Paper Award @ Advances in Neural Information Processing Systems - Machine Learning for Autonomous Driving Workshop (NeurIPS 2021 ML4AD)

ScePT: Scene-consistent, Policy-based Trajectory Predictions for Planning

Yuxiao Chen, Boris Ivanovic, Marco Pavone

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

A Survey on Uncertainty Reasoning and Quantification for Decision Making: Belief Theory Meets Deep Learning

Zhen Guo, Zelin Wan, Qisheng Zhang, Xujiang Zhao, Feng Chen, Jin-Hee Cho, Qi Zhang, Lance M. Kaplan, Dong H. Jeong, Audun Jøsang

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

Comments First four authors contributed equally

A Fully Controllable Agent in the Path Planning using Goal-Conditioned Reinforcement Learning

GyeongTaek Lee

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

Efficient Algorithms for Planning with Participation Constraints

Hanrui Zhang, Yu Cheng, Vincent Conitzer

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

Comments EC 2022

Learning Abstract and Transferable Representations for Planning

Steven James, Benjamin Rosman, George Konidaris

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

Comments Accepted to the 5th Multi-disciplinary Conference on Reinforcement Learning and Decision Making (RLDM), 2022

A Practical Guide to Multi-Objective Reinforcement Learning and Planning

Conor F. Hayes, Roxana Rădulescu, Eugenio Bargiacchi, Johan Källström, Matthew Macfarlane, Mathieu Reymond, Timothy Verstraeten, Luisa M. Zintgraf, Richard Dazeley, Fredrik Heintz, Enda Howley, Athirai A. Irissappane, Patrick Mannion, Ann Nowé, Gabriel Ramos, Marcello Restelli, Peter Vamplew, Diederik M. Roijers

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

Journal ref Auton Agent Multi-Agent Syst 36, 26 (2022)

Long Short-Term Memory for Spatial Encoding in Multi-Agent Path Planning

Marc R. Schlichting, Stefan Notter, Walter Fichter

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

Comments For associated source code, see https://github.com/MarcSchlichting/LSTMSpatialEncoding , For associated video of flight test, see https://schlichting.page.link/lstm_flight_test , 17 pages, 11 figures

Journal ref AIAA Journal of Guidance, Control, and Dynamics, March 2022

Artificial Intelligence Solution for Effective Treatment Planning for Glioblastoma Patients

Vikram Goddla

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

Comments The paper includes cover page, table of contents and references spanning 23 pages overall

Generative Planning for Temporally Coordinated Exploration in Reinforcement Learning

Haichao Zhang, Wei Xu, Haonan Yu

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

Comments Spotlight paper at the 10th International Conference on Learning Representations (ICLR 2022)

Reducing Planning Complexity of General Reinforcement Learning with Non-Markovian Abstractions

Sultan J. Majeed, Marcus Hutter

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

Steady-State Planning in Expected Reward Multichain MDPs

George K. Atia, Andre Beckus, Ismail Alkhouri, Alvaro Velasquez

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

Journal ref Journal of Artificial Intelligence Research 72 (2021) 1029-1082

A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning

Mingde Zhao, Zhen Liu, Sitao Luan, Shuyuan Zhang, Doina Precup, Yoshua Bengio

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

Comments NeurIPS camera-ready version

Procedural Generalization by Planning with Self-Supervised World Models

Ankesh Anand, Jacob Walker, Yazhe Li, Eszter Vértes, Julian Schrittwieser, Sherjil Ozair, Théophane Weber, Jessica B. Hamrick

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

Transfer learning with causal counterfactual reasoning in Decision Transformers

Ayman Boustati, Hana Chockler, Daniel C. McNamee

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

Multi-Agent Path Planning Using Deep Reinforcement Learning

Mert Çetinkaya

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

GMH: A General Multi-hop Reasoning Model for KG Completion

Yao Zhang, Hongru Liang, Adam Jatowt, Wenqiang Lei, Xin Wei, Ning Jiang, Zhenglu Yang

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

Comments Accepted to EMNLP 2021; 10 pages, 5 figures, 4 tables

Risk Conditioned Neural Motion Planning

Xin Huang, Meng Feng, Ashkan Jasour, Guy Rosman, Brian Williams

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

Comments Accepted at IROS'21. Author version with 7 pages, 5 figures, 2 tables, and 1 algorithm

Vector Quantized Models for Planning

Sherjil Ozair, Yazhe Li, Ali Razavi, Ioannis Antonoglou, Aäron van den Oord, Oriol Vinyals

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

Comments ICML 2021