大模型推理能力 - arXivDaily 专题

2009.09870 2020-10-12 cs.CL cs.AI 81%

Content Planning for Neural Story Generation with Aristotelian Rescoring

Seraphina Goldfarb-Tarrant, Tuhin Chakrabarty, Ralph Weischedel, Nanyun Peng

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

Comments EMNLP 2020, 9 pages

2007.15724 2020-08-03 cs.RO cs.AI cs.LG cs.MA 81%

MAPPER: Multi-Agent Path Planning with Evolutionary Reinforcement Learning in Mixed Dynamic Environments

Zuxin Liu, Baiming Chen, Hongyi Zhou, Guru Koushik, Martial Hebert, Ding Zhao

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

Comments 6 pages, accepted at the 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2020)

2007.11121 2020-07-23 cs.LG cs.AI stat.ML 81%

PackIt: A Virtual Environment for Geometric Planning

Ankit Goyal, Jia Deng

专题命中规划推理：planning(title,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 81%

Long-Term Planning with Deep Reinforcement Learning on Autonomous Drones

Ugurkan Ates

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

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

2005.05960 2020-07-02 cs.LG cs.AI cs.CV cs.NE cs.RO stat.ML 81%

Planning to Explore via Self-Supervised World Models

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

专题命中规划推理：planning(title,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 81%

Continuous Control for Searching and Planning with a Learned Model

Xuxi Yang, Werner Duvaud, Peng Wei

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

2006.02689 2020-06-05 cs.AI cs.LG 81%

Solving Hard AI Planning Instances Using Curriculum-Driven Deep Reinforcement Learning

Dieqiao Feng, Carla P. Gomes, Bart Selman

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

Comments 8 pages, 6 figures, accepted by IJCAI 2020

2006.00900 2020-06-02 cs.LG cs.AI stat.ML 81%

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

Henry Charlesworth, Giovanni Montana

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

2001.06627 2020-04-01 cs.LG cs.AI cs.RO 81%

Multi-agent Motion Planning for Dense and Dynamic Environments via Deep Reinforcement Learning

Samaneh Hosseini Semnani, Hugh Liu, Michael Everett, Anton de Ruiter, Jonathan P. How

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

Comments IEEE Robotics and Automation Letters (2020)

2003.08554 2020-03-20 cs.AI cs.LG 81%

Adjust Planning Strategies to Accommodate Reinforcement Learning Agents

Xuerun Chen

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

1912.09996 2020-03-05 cs.LG cs.AI stat.ML 81%

Uncertainty-sensitive Learning and Planning with Ensembles

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

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

2002.12336 2020-02-28 cs.AI cs.CV cs.LG cs.NE cs.RO 81%

Hallucinative Topological Memory for Zero-Shot Visual Planning

Kara Liu, Thanard Kurutach, Christine Tung, Pieter Abbeel, Aviv Tamar

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

1901.09216 2020-01-22 cs.AI cs.LG cs.MA 81%

Modelling Bounded Rationality in Multi-Agent Interactions by Generalized Recursive Reasoning

Ying Wen, Yaodong Yang, Rui Luo, Jun Wang

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

1906.08190 2020-01-10 cs.LG cs.AI cs.RO 81%

Control What You Can: Intrinsically Motivated Task-Planning Agent

Sebastian Blaes, Marin Vlastelica Pogančić, Jia-Jie Zhu, Georg Martius

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

1912.06721 2019-12-17 cs.CL cs.LG 81%

Long-Term Planning and Situational Awareness in OpenAI Five

Jonathan Raiman, Susan Zhang, Filip Wolski

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

1912.04201 2019-12-10 cs.LG cs.AI stat.ML 81%

Learning Latent State Spaces for Planning through Reward Prediction

Aaron Havens, Yi Ouyang, Prabhat Nagarajan, Yasuhiro Fujita

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

Comments Deep RL Workshop, Neurips 2019, Vancouver

1909.10614 2019-11-01 cs.AI cs.CY cs.HC cs.LG 81%

Acceptable Planning: Influencing Individual Behavior to Reduce Transportation Energy Expenditure of a City

Shiwali Mohan, Hesham Rakha, Matthew Klenk

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

Journal ref Journal of Artificial Intelligence Research 66 (2019) 555-587

1909.13870 2019-10-01 cs.LG cs.AI cs.RO 81%

Learning Compact Models for Planning with Exogenous Processes

Rohan Chitnis, Tomás Lozano-Pérez

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

Comments CoRL 2019 final version

1909.06034 2019-09-16 cs.LG cs.AI cs.RO cs.SY eess.SY stat.ML 81%

Deep Learned Path Planning via Randomized Reward-Linked-Goals and Potential Space Applications

Tamir Blum, William Jones, Kazuya Yoshida

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

Comments 8 pages, 3 tables, 5 figures

1902.01378 2019-07-03 cs.AI cs.LG 81%

Obstacle Tower: A Generalization Challenge in Vision, Control, and Planning

Arthur Juliani, Ahmed Khalifa, Vincent-Pierre Berges, Jonathan Harper, Ervin Teng, Hunter Henry, Adam Crespi, Julian Togelius, Danny Lange

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

Comments IJCAI 2019

1811.04551 2019-06-06 cs.LG cs.AI stat.ML 81%

Learning Latent Dynamics for Planning from Pixels

Danijar Hafner, Timothy Lillicrap, Ian Fischer, Ruben Villegas, David Ha, Honglak Lee, James Davidson

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

Comments 20 pages, 12 figures, 1 table

1905.12006 2019-05-30 cs.LG cs.AI stat.ML 81%

Learning Portable Representations for High-Level Planning

Steven James, Benjamin Rosman, George Konidaris

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

1901.03559 2019-05-21 cs.LG cs.AI stat.ML 81%

An investigation of model-free planning

Arthur Guez, Mehdi Mirza, Karol Gregor, Rishabh Kabra, Sébastien Racanière, Théophane Weber, David Raposo, Adam Santoro, Laurent Orseau, Tom Eccles, Greg Wayne, David Silver, Timothy Lillicrap

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

1904.08621 2019-04-19 cs.AI cs.HC cs.LG 81%

Improving Interactive Reinforcement Agent Planning with Human Demonstration

Guangliang Li, Randy Gomez, Keisuke Nakamura, Jinying Lin, Qilei Zhang, Bo He

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

1812.11240 2019-02-05 cs.LG cs.AI cs.NE stat.ML 81%

Dynamic Planning Networks

Norman Tasfi, Miriam Capretz

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

1710.03937 2019-02-05 cs.AI cs.LG cs.RO 81%

PRM-RL: Long-range Robotic Navigation Tasks by Combining Reinforcement Learning and Sampling-based Planning

Aleksandra Faust, Oscar Ramirez, Marek Fiser, Kenneth Oslund, Anthony Francis, James Davidson, Lydia Tapia

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

Comments 9 pages, 7 figures

Journal ref IEEE International Conference on Robotics and Automation (ICRA), 2018

1901.02577 2019-01-10 cs.AI cs.LG 81%

Robust and Adaptive Planning under Model Uncertainty

Apoorva Sharma, James Harrison, Matthew Tsao, Marco Pavone

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

1809.10842 2018-10-01 cs.LG cs.AI stat.ML 81%

Learning and Planning with a Semantic Model

Yi Wu, Yuxin Wu, Aviv Tamar, Stuart Russell, Georgia Gkioxari, Yuandong Tian

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

Comments submitted to ICLR 2019

1804.07779 2018-06-07 cs.LG cs.AI stat.ML 81%

PEORL: Integrating Symbolic Planning and Hierarchical Reinforcement Learning for Robust Decision-Making

Fangkai Yang, Daoming Lyu, Bo Liu, Steven Gustafson

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

Comments conference version accepted by IJCAI-ECAI-18

1707.06170 2017-07-20 cs.AI cs.LG cs.NE stat.ML 81%

Learning model-based planning from scratch

Razvan Pascanu, Yujia Li, Oriol Vinyals, Nicolas Heess, Lars Buesing, Sebastien Racanière, David Reichert, Théophane Weber, Daan Wierstra, Peter Battaglia

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

1. 规划推理 11104 篇

Content Planning for Neural Story Generation with Aristotelian Rescoring

MAPPER: Multi-Agent Path Planning with Evolutionary Reinforcement Learning in Mixed Dynamic Environments

PackIt: A Virtual Environment for Geometric Planning

Long-Term Planning with Deep Reinforcement Learning on Autonomous Drones

Planning to Explore via Self-Supervised World Models

Continuous Control for Searching and Planning with a Learned Model

Solving Hard AI Planning Instances Using Curriculum-Driven Deep Reinforcement Learning

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

Multi-agent Motion Planning for Dense and Dynamic Environments via Deep Reinforcement Learning

Adjust Planning Strategies to Accommodate Reinforcement Learning Agents

Uncertainty-sensitive Learning and Planning with Ensembles

Hallucinative Topological Memory for Zero-Shot Visual Planning

Modelling Bounded Rationality in Multi-Agent Interactions by Generalized Recursive Reasoning

Control What You Can: Intrinsically Motivated Task-Planning Agent

Long-Term Planning and Situational Awareness in OpenAI Five

Learning Latent State Spaces for Planning through Reward Prediction

Acceptable Planning: Influencing Individual Behavior to Reduce Transportation Energy Expenditure of a City

Learning Compact Models for Planning with Exogenous Processes

Deep Learned Path Planning via Randomized Reward-Linked-Goals and Potential Space Applications

Obstacle Tower: A Generalization Challenge in Vision, Control, and Planning

Learning Latent Dynamics for Planning from Pixels

Learning Portable Representations for High-Level Planning

An investigation of model-free planning

Improving Interactive Reinforcement Agent Planning with Human Demonstration

Dynamic Planning Networks

PRM-RL: Long-range Robotic Navigation Tasks by Combining Reinforcement Learning and Sampling-based Planning

Robust and Adaptive Planning under Model Uncertainty

Learning and Planning with a Semantic Model

PEORL: Integrating Symbolic Planning and Hierarchical Reinforcement Learning for Robust Decision-Making

Learning model-based planning from scratch