AI Agent - arXivDaily 专题

2205.02092 2022-05-05 cs.LG cs.AI 84%

Learning Abstract and Transferable Representations for Planning

Steven James, Benjamin Rosman, George Konidaris

专题命中规划决策：planning(title,abstract)；agent(abstract)；分类 cs.AI、cs.LG

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

2010.04894 2022-04-27 cs.LG cs.AI cs.MA 84%

HAMLET: A Hierarchical Agent-based Machine Learning Platform

Ahmad Esmaeili, John C. Gallagher, John A. Springer, Eric T. Matson

专题命中规划决策：agent(title,abstract)；multi-agent(abstract)；分类 cs.AI、cs.LG

2201.09765 2022-02-07 cs.LG cs.AI cs.CV 84%

Generative Planning for Temporally Coordinated Exploration in Reinforcement Learning

Haichao Zhang, Wei Xu, Haonan Yu

专题命中规划决策：planning(title,abstract)；agent(abstract)；分类 cs.AI、cs.LG

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

2112.13386 2021-12-28 cs.AI cs.LG 84%

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

Sultan J. Majeed, Marcus Hutter

专题命中规划决策：planning(title,abstract)；agent(abstract)；分类 cs.AI、cs.LG

2012.02178 2021-11-30 cs.AI cs.LG cs.MA stat.ML 84%

Steady-State Planning in Expected Reward Multichain MDPs

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

专题命中规划决策：planning(title,abstract)；agent(abstract)；分类 cs.AI、cs.LG

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

2111.01587 2021-11-03 cs.LG cs.AI 84%

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

专题命中规划决策：planning(title,abstract)；agent(abstract)；分类 cs.AI、cs.LG

2110.01307 2021-10-05 cs.AI cs.GT cs.LG cs.MA 84%

Collective eXplainable AI: Explaining Cooperative Strategies and Agent Contribution in Multiagent Reinforcement Learning with Shapley Values

Alexandre Heuillet, Fabien Couthouis, Natalia Díaz-Rodríguez

专题命中规划决策：agent(title,abstract)；multi-agent(abstract)；分类 cs.AI、cs.LG

Comments Submitted to IEEE Computational Intelligence Magazine

2109.02032 2021-09-07 cs.LG cs.AI cs.MA 84%

Soft Hierarchical Graph Recurrent Networks for Many-Agent Partially Observable Environments

Zhenhui Ye, Xiaohong Jiang, Guanghua Song, Bowei Yang

专题命中规划决策：agent(title,abstract)；multi-agent(abstract)；分类 cs.AI、cs.LG

Comments 9 pages, 6 figures, 1 table. Under review

2108.01851 2021-08-05 cs.LG cs.AI cs.RO 84%

Risk Conditioned Neural Motion Planning

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

专题命中规划决策：planning(title,abstract)；agent(abstract)；分类 cs.AI、cs.LG

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

2106.04615 2021-06-11 cs.LG cs.AI stat.ML 84%

Vector Quantized Models for Planning

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

专题命中规划决策：planning(title,abstract)；agent(abstract)；分类 cs.AI、cs.LG

Comments ICML 2021

2010.11038 2021-06-10 cs.AI cs.LG 84%

Influence-Augmented Online Planning for Complex Environments

Jinke He, Miguel Suau, Frans A. Oliehoek

专题命中规划决策：planning(title,abstract)；agent(abstract)；分类 cs.AI、cs.LG

Comments NeurIPS2020 - results have been updated after fixing minor bugs in the code

2011.13897 2021-05-04 cs.LG cs.AI cs.RO stat.ML 84%

Latent Skill Planning for Exploration and Transfer

Kevin Xie, Homanga Bharadhwaj, Danijar Hafner, Animesh Garg, Florian Shkurti

专题命中规划决策：planning(title,abstract)；agent(abstract)；分类 cs.AI、cs.LG

Comments First two authors contributed equally. Published as a conference paper in ICLR 2021

2101.06832 2021-04-30 cs.CV cs.AI cs.LG cs.RO 84%

Deep Structured Reactive Planning

Jerry Liu, Wenyuan Zeng, Raquel Urtasun, Ersin Yumer

专题命中规划决策：planning(title,abstract)；agent(abstract)；分类 cs.AI、cs.LG

Comments ICRA 2021

2103.14025 2021-03-26 cs.CV cs.AI cs.LG cs.RO 84%

The ThreeDWorld Transport Challenge: A Visually Guided Task-and-Motion Planning Benchmark for Physically Realistic Embodied AI

Chuang Gan, Siyuan Zhou, Jeremy Schwartz, Seth Alter, Abhishek Bhandwaldar, Dan Gutfreund, Daniel L. K. Yamins, James J DiCarlo, Josh McDermott, Antonio Torralba, Joshua B. Tenenbaum

专题命中规划决策：planning(title,abstract)；agent(abstract)；分类 cs.AI、cs.LG

Comments Project page: http://tdw-transport.csail.mit.edu/

2007.02418 2021-03-09 cs.LG cs.AI stat.ML 84%

Selective Dyna-style Planning Under Limited Model Capacity

Zaheer Abbas, Samuel Sokota, Erin J. Talvitie, Martha White

专题命中规划决策：planning(title,abstract)；agent(abstract)；分类 cs.AI、cs.LG

Comments Accepted at ICML 2020

1909.12217 2021-01-27 eess.SP cs.AI cs.LG 84%

Visual Exploration and Energy-aware Path Planning via Reinforcement Learning

Amir Niaraki, Jeremy Roghair, Ali Jannesari

专题命中规划决策：planning(title,abstract)；agent(abstract)；分类 cs.AI、cs.LG

Comments 20 Pages, 14 figures

2007.13202 2020-11-10 cs.LG cs.AI cs.RO 84%

CAMPs: Learning Context-Specific Abstractions for Efficient Planning in Factored MDPs

Rohan Chitnis, Tom Silver, Beomjoon Kim, Leslie Pack Kaelbling, Tomas Lozano-Perez

专题命中规划决策：planning(title,abstract)；agent(abstract)；分类 cs.AI、cs.LG

Comments CoRL 2020

2011.01771 2020-11-06 cs.LG cs.AI cs.SY eess.SY 84%

Deep Reinforcement Learning Based Dynamic Route Planning for Minimizing Travel Time

Yuanzhe Geng, Erwu Liu, Rui Wang, Yiming Liu

专题命中规划决策：planning(title,abstract)；agent(abstract)；分类 cs.AI、cs.LG

2009.05524 2020-10-30 cs.AI cs.LG 84%

Physically Embedded Planning Problems: New Challenges for Reinforcement Learning

Mehdi Mirza, Andrew Jaegle, Jonathan J. Hunt, Arthur Guez, Saran Tunyasuvunakool, Alistair Muldal, Théophane Weber, Peter Karkus, Sébastien Racanière, Lars Buesing, Timothy Lillicrap, Nicolas Heess

专题命中规划决策：planning(title,abstract)；agent(abstract)；分类 cs.AI、cs.LG

Comments 17 pages + appendix. Updated text and references

2007.11121 2020-07-23 cs.LG cs.AI stat.ML 84%

PackIt: A Virtual Environment for Geometric Planning

Ankit Goyal, Jia Deng

专题命中规划决策：planning(title,abstract)；agent(abstract)；分类 cs.AI、cs.LG

Comments Accepted to ICML 2020

2007.05694 2020-07-14 cs.LG cs.AI cs.IT math.IT stat.ML 84%

Long-Term Planning with Deep Reinforcement Learning on Autonomous Drones

Ugurkan Ates

专题命中规划决策：planning(title,abstract)；agent(abstract)；分类 cs.AI、cs.LG

Comments Submitted to Association for the Advancement of Artificial Intelligence(AAAI) 2020 Fall Symposium Series

2007.01380 2020-07-06 cs.AI cs.LG math.OC stat.ML 84%

Deep reinforcement learning driven inspection and maintenance planning under incomplete information and constraints

C. P. Andriotis, K. G. Papakonstantinou

专题命中规划决策：planning(title)；agent(abstract)；multi-agent(abstract)；分类 cs.AI、cs.LG

2005.05960 2020-07-02 cs.LG cs.AI cs.CV cs.NE cs.RO stat.ML 84%

Planning to Explore via Self-Supervised World Models

Ramanan Sekar, Oleh Rybkin, Kostas Daniilidis, Pieter Abbeel, Danijar Hafner, Deepak Pathak

专题命中规划决策：planning(title,abstract)；agent(abstract)；分类 cs.AI、cs.LG

Comments Accepted at ICML 2020. Videos and code at https://ramanans1.github.io/plan2explore/

2006.07430 2020-06-23 cs.AI cs.LG 84%

Continuous Control for Searching and Planning with a Learned Model

Xuxi Yang, Werner Duvaud, Peng Wei

专题命中规划决策：planning(title,abstract)；agent(abstract)；分类 cs.AI、cs.LG

1910.02330 2020-06-17 cs.LG cs.AI stat.ML 84%

Towards Deployment of Robust AI Agents for Human-Machine Partnerships

Ahana Ghosh, Sebastian Tschiatschek, Hamed Mahdavi, Adish Singla

专题命中规划决策：AI agent(title,abstract)；agent(abstract)；分类 cs.AI、cs.LG

2006.06620 2020-06-12 cs.RO cs.AI cs.LG 84%

From proprioception to long-horizon planning in novel environments: A hierarchical RL model

Nishad Gothoskar, Miguel Lázaro-Gredilla, Dileep George

专题命中规划决策：planning(title,abstract)；agent(abstract)；分类 cs.AI、cs.LG

2006.00900 2020-06-02 cs.LG cs.AI stat.ML 84%

PlanGAN: Model-based Planning With Sparse Rewards and Multiple Goals

Henry Charlesworth, Giovanni Montana

专题命中规划决策：planning(title,abstract)；agent(abstract)；分类 cs.AI、cs.LG

2003.08554 2020-03-20 cs.AI cs.LG 84%

Adjust Planning Strategies to Accommodate Reinforcement Learning Agents

Xuerun Chen

专题命中规划决策：planning(title,abstract)；agent(abstract)；分类 cs.AI、cs.LG

2003.04690 2020-03-11 cs.MA cs.AI cs.SE 84%

JS-son -- A Lean, Extensible JavaScript Agent Programming Library

Timotheus Kampik, Juan Carlos Nieves

专题命中规划决策：agent(title,abstract)；multi-agent(abstract)；分类 cs.AI、cs.SE

Comments Accepted for the post-proceedings of EMAS 2019

1912.09996 2020-03-05 cs.LG cs.AI stat.ML 84%

Uncertainty-sensitive Learning and Planning with Ensembles

Piotr Miłoś, Łukasz Kuciński, Konrad Czechowski, Piotr Kozakowski, Maciek Klimek

专题命中规划决策：planning(title,abstract)；agent(abstract)；分类 cs.AI、cs.LG

1. 规划决策 35436 篇

Learning Abstract and Transferable Representations for Planning

HAMLET: A Hierarchical Agent-based Machine Learning Platform

Generative Planning for Temporally Coordinated Exploration in Reinforcement Learning

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

Steady-State Planning in Expected Reward Multichain MDPs

Procedural Generalization by Planning with Self-Supervised World Models

Collective eXplainable AI: Explaining Cooperative Strategies and Agent Contribution in Multiagent Reinforcement Learning with Shapley Values

Soft Hierarchical Graph Recurrent Networks for Many-Agent Partially Observable Environments

Risk Conditioned Neural Motion Planning

Vector Quantized Models for Planning

Influence-Augmented Online Planning for Complex Environments

Latent Skill Planning for Exploration and Transfer

Deep Structured Reactive Planning

The ThreeDWorld Transport Challenge: A Visually Guided Task-and-Motion Planning Benchmark for Physically Realistic Embodied AI

Selective Dyna-style Planning Under Limited Model Capacity

Visual Exploration and Energy-aware Path Planning via Reinforcement Learning

CAMPs: Learning Context-Specific Abstractions for Efficient Planning in Factored MDPs

Deep Reinforcement Learning Based Dynamic Route Planning for Minimizing Travel Time

Physically Embedded Planning Problems: New Challenges for Reinforcement Learning

PackIt: A Virtual Environment for Geometric Planning

Long-Term Planning with Deep Reinforcement Learning on Autonomous Drones

Deep reinforcement learning driven inspection and maintenance planning under incomplete information and constraints

Planning to Explore via Self-Supervised World Models

Continuous Control for Searching and Planning with a Learned Model

Towards Deployment of Robust AI Agents for Human-Machine Partnerships

From proprioception to long-horizon planning in novel environments: A hierarchical RL model

PlanGAN: Model-based Planning With Sparse Rewards and Multiple Goals

Adjust Planning Strategies to Accommodate Reinforcement Learning Agents

JS-son -- A Lean, Extensible JavaScript Agent Programming Library

Uncertainty-sensitive Learning and Planning with Ensembles