大模型推理能力 - arXivDaily 专题

2202.11296 2022-04-25 cs.LG cs.AI 62%

Reinforcement Learning in Practice: Opportunities and Challenges

Yuxi Li

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

2202.04943 2022-04-15 cs.LG cs.AI 62%

Interpretable pipelines with evolutionarily optimized modules for RL tasks with visual inputs

Leonardo Lucio Custode, Giovanni Iacca

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

Comments 9 pages, 6 figures, submitted to GECCO 2022

2204.03516 2022-04-08 cs.RO cs.AI cs.LG cs.MA 62%

Distributed Reinforcement Learning for Robot Teams: A Review

Yutong Wang, Mehul Damani, Pamela Wang, Yuhong Cao, Guillaume Sartoretti

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

Comments Preprint of the paper submitted to Springer's Current Robotics Reports

2204.02650 2022-04-07 cs.LG cs.AI 62%

Spatio-Temporal Dynamic Graph Relation Learning for Urban Metro Flow Prediction

Peng Xie, Minbo Ma, Tianrui Li, Shenggong Ji, Shengdong Du, Zeng Yu, Junbo Zhang

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

2203.07832 2022-03-16 cs.LG cs.AI cs.MA 62%

Learning to Infer Belief Embedded Communication

Guo Ye, Han Liu, Biswa Sengupta

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

2202.12597 2022-02-28 cs.AI cs.LG 62%

Context-Hierarchy Inverse Reinforcement Learning

Wei Gao, David Hsu, Wee Sun Lee

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

2104.00563 2022-02-14 cs.RO cs.AI cs.CV cs.LG cs.MA 62%

Latent Variable Sequential Set Transformers For Joint Multi-Agent Motion Prediction

Roger Girgis, Florian Golemo, Felipe Codevilla, Martin Weiss, Jim Aldon D'Souza, Samira Ebrahimi Kahou, Felix Heide, Christopher Pal

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

Comments 26 pages, 17 figures, 8 tables

2202.00914 2022-02-09 cs.LG cs.AI cs.RO 62%

Lipschitz-constrained Unsupervised Skill Discovery

Seohong Park, Jongwook Choi, Jaekyeom Kim, Honglak Lee, Gunhee Kim

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

Comments Accepted to ICLR 2022

2101.07312 2022-02-03 cs.LG cs.AI cs.NE 62%

Benchmarking Perturbation-based Saliency Maps for Explaining Atari Agents

Tobias Huber, Benedikt Limmer, Elisabeth André

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

2201.09653 2022-01-25 cs.LG cs.AI 62%

The Paradox of Choice: Using Attention in Hierarchical Reinforcement Learning

Andrei Nica, Khimya Khetarpal, Doina Precup

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

Comments 20 pages, 15 figures

2201.04502 2022-01-20 cs.LG cs.AI 62%

Dyna-T: Dyna-Q and Upper Confidence Bounds Applied to Trees

Tarek Faycal, Claudio Zito

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

2201.04651 2022-01-14 cs.LG cs.AI 62%

Multi-echelon Supply Chains with Uncertain Seasonal Demands and Lead Times Using Deep Reinforcement Learning

Julio César Alves, Geraldo Robson Mateus

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

Comments 35 pages, 16 figures

2110.06394 2022-01-03 cs.LG cs.AI math.OC stat.ML 62%

Reward-Free Model-Based Reinforcement Learning with Linear Function Approximation

Weitong Zhang, Dongruo Zhou, Quanquan Gu

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

Comments 29 pages, 1 figure, 1 table. In NeurIPS 2021

2112.13404 2021-12-28 cs.AI cs.LG 62%

Abstractions of General Reinforcement Learning

Sultan J. Majeed

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

2112.11731 2021-12-23 cs.LG cs.AI 62%

Graph augmented Deep Reinforcement Learning in the GameRLand3D environment

Edward Beeching, Maxim Peter, Philippe Marcotte, Jilles Debangoye, Olivier Simonin, Joshua Romoff, Christian Wolf

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

2102.04738 2021-12-10 cs.CV cs.AI cs.LG cs.RO 62%

End-to-End Deep Learning of Lane Detection and Path Prediction for Real-Time Autonomous Driving

Der-Hau Lee, Jinn-Liang Liu

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

Comments 6 pages, 4 figures

2112.00940 2021-12-03 cs.LG cs.AI cs.MA 62%

Reward-Free Attacks in Multi-Agent Reinforcement Learning

Ted Fujimoto, Timothy Doster, Adam Attarian, Jill Brandenberger, Nathan Hodas

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

Comments Presented at the NeurIPS 2021 Workshop on Learning in Presence of Strategic Behavior

2106.02039 2021-11-30 cs.LG cs.AI 62%

Offline Reinforcement Learning as One Big Sequence Modeling Problem

Michael Janner, Qiyang Li, Sergey Levine

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

Comments NeurIPS 2021 (spotlight). Project page and code at: https://trajectory-transformer.github.io/

1912.02368 2021-11-19 cs.LG cs.AI stat.ML 62%

Inter-Level Cooperation in Hierarchical Reinforcement Learning

Abdul Rahman Kreidieh, Glen Berseth, Brandon Trabucco, Samyak Parajuli, Sergey Levine, Alexandre M. Bayen

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

2111.06383 2021-11-12 cs.LG cs.AI cs.RO 62%

Distilling Motion Planner Augmented Policies into Visual Control Policies for Robot Manipulation

I-Chun Arthur Liu, Shagun Uppal, Gaurav S. Sukhatme, Joseph J. Lim, Peter Englert, Youngwoon Lee

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

Comments Published at the Conference on Robot Learning (CoRL) 2021

2111.05479 2021-11-11 cs.LG cs.AI 62%

Spatially and Seamlessly Hierarchical Reinforcement Learning for State Space and Policy space in Autonomous Driving

Jaehyun Kim, Jaeseung Jeong

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

Comments 14 pages, 8 figures, and 3 tables

2103.05154 2021-11-11 cs.HC cs.AI cs.CY cs.LG cs.RO 62%

Explanations in Autonomous Driving: A Survey

Daniel Omeiza, Helena Webb, Marina Jirotka, Lars Kunze

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

Comments Accepted for publication in IEEE Transactions on Intelligent Transportation Systems

2111.02149 2021-11-04 cs.AI cs.LG 62%

Deployment Optimization for Shared e-Mobility Systems with Multi-agent Deep Neural Search

Man Luo, Bowen Du, Konstantin Klemmer, Hongming Zhu, Hongkai Wen

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

2111.00869 2021-11-02 cs.CV cs.AI cs.LG 62%

DetectorNet: Transformer-enhanced Spatial Temporal Graph Neural Network for Traffic Prediction

He Li, Shiyu Zhang, Xuejiao Li, Liangcai Su, Hongjie Huang, Duo Jin, Linghao Chen, Jianbing Huang, Jaesoo Yoo

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

Comments The 29th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2021)

2103.07945 2021-10-12 cs.LG cs.AI math.OC 62%

Learning One Representation to Optimize All Rewards

Ahmed Touati, Yann Ollivier

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

2110.04441 2021-10-12 cs.AI cs.CL cs.RO 62%

Natural Language for Human-Robot Collaboration: Problems Beyond Language Grounding

Seth Pate, Wei Xu, Ziyi Yang, Maxwell Love, Siddarth Ganguri, Lawson L. S. Wong

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

Comments 5 pages, 2 figures, Presented at AI-HRI symposium as part of AAAI-FSS 2021 (arXiv:2109.10836)

2109.14727 2021-10-01 cs.LG cs.AI 62%

Dr Jekyll and Mr Hyde: the Strange Case of Off-Policy Policy Updates

Romain Laroche, Remi Tachet

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

Comments accepted to NeurIPS as a poster

2011.08484 2021-09-29 cs.RO cs.AI cs.LG 62%

Combining Reinforcement Learning with Model Predictive Control for On-Ramp Merging

Joseph Lubars, Harsh Gupta, Sandeep Chinchali, Liyun Li, Adnan Raja, R. Srikant, Xinzhou Wu

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

Comments 8 pages, 6 figures

2109.09975 2021-09-24 cs.LG cs.AI cs.RO 62%

Fast nonlinear risk assessment for autonomous vehicles using learned conditional probabilistic models of agent futures

Ashkan Jasour, Xin Huang, Allen Wang, Brian C. Williams

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

Comments Accepted at Autonomous Robots. Author version, with 11 pages, 5 figures, 2 tables. Journal extension of "Fast Risk Assessment for Autonomous Vehicles Using Learned Models of Agent Futures" (Wang et al. RSS 2020, arXiv:2005.13458)

2109.07578 2021-09-17 cs.LG cs.AI cs.RO cs.SY eess.SY 62%

Multi-Task Learning with Sequence-Conditioned Transporter Networks

Michael H. Lim, Andy Zeng, Brian Ichter, Maryam Bandari, Erwin Coumans, Claire Tomlin, Stefan Schaal, Aleksandra Faust

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

1. 规划推理 11120 篇

Reinforcement Learning in Practice: Opportunities and Challenges

Interpretable pipelines with evolutionarily optimized modules for RL tasks with visual inputs

Distributed Reinforcement Learning for Robot Teams: A Review

Spatio-Temporal Dynamic Graph Relation Learning for Urban Metro Flow Prediction

Learning to Infer Belief Embedded Communication

Context-Hierarchy Inverse Reinforcement Learning

Latent Variable Sequential Set Transformers For Joint Multi-Agent Motion Prediction

Lipschitz-constrained Unsupervised Skill Discovery

Benchmarking Perturbation-based Saliency Maps for Explaining Atari Agents

The Paradox of Choice: Using Attention in Hierarchical Reinforcement Learning

Dyna-T: Dyna-Q and Upper Confidence Bounds Applied to Trees

Multi-echelon Supply Chains with Uncertain Seasonal Demands and Lead Times Using Deep Reinforcement Learning

Reward-Free Model-Based Reinforcement Learning with Linear Function Approximation

Abstractions of General Reinforcement Learning

Graph augmented Deep Reinforcement Learning in the GameRLand3D environment

End-to-End Deep Learning of Lane Detection and Path Prediction for Real-Time Autonomous Driving

Reward-Free Attacks in Multi-Agent Reinforcement Learning

Offline Reinforcement Learning as One Big Sequence Modeling Problem

Inter-Level Cooperation in Hierarchical Reinforcement Learning

Distilling Motion Planner Augmented Policies into Visual Control Policies for Robot Manipulation

Spatially and Seamlessly Hierarchical Reinforcement Learning for State Space and Policy space in Autonomous Driving

Explanations in Autonomous Driving: A Survey

Deployment Optimization for Shared e-Mobility Systems with Multi-agent Deep Neural Search

DetectorNet: Transformer-enhanced Spatial Temporal Graph Neural Network for Traffic Prediction

Learning One Representation to Optimize All Rewards

Natural Language for Human-Robot Collaboration: Problems Beyond Language Grounding

Dr Jekyll and Mr Hyde: the Strange Case of Off-Policy Policy Updates

Combining Reinforcement Learning with Model Predictive Control for On-Ramp Merging

Fast nonlinear risk assessment for autonomous vehicles using learned conditional probabilistic models of agent futures

Multi-Task Learning with Sequence-Conditioned Transporter Networks