世界模型 - arXivDaily 专题

2302.14182 2023-10-19 cs.LG cs.AI 56%

Taylor TD-learning

Michele Garibbo, Maxime Robeyns, Laurence Aitchison

专题命中模型式强化学习：model-based RL(abstract)；分类 cs.AI、cs.LG

Comments Published as a conference paper at NeurIPS 2023

2310.09495 2023-10-17 cs.LG cs.CV stat.ML 56%

Learning In-between Imagery Dynamics via Physical Latent Spaces

Jihun Han, Yoonsang Lee, Anne Gelb

专题命中模型式强化学习：latent dynamics(abstract)；分类 cs.LG、cs.CV

Comments 26 pages, 13 figures

2305.16979 2023-09-21 cs.AI cs.LG 56%

Adaptive PD Control using Deep Reinforcement Learning for Local-Remote Teleoperation with Stochastic Time Delays

Luc McCutcheon, Saber Fallah

专题命中模型式强化学习：model-based reinforcement learning(abstract)；分类 cs.AI、cs.LG

Comments 7 pages + 1 references, 4 figures

2007.07461 2023-08-10 cs.LG cs.GT cs.MA math.OC stat.ML 56%

Model-Based Multi-Agent RL in Zero-Sum Markov Games with Near-Optimal Sample Complexity

Kaiqing Zhang, Sham M. Kakade, Tamer Başar, Lin F. Yang

专题命中模型式强化学习：model-based reinforcement learning(abstract)；分类 cs.LG、cs.MA

Comments Updated version accepted to Journal of Machine Learning Research (JMLR)

2307.14085 2023-07-27 cs.LG cs.AI math.ST stat.ML stat.TH 56%

Actions Speak What You Want: Provably Sample-Efficient Reinforcement Learning of the Quantal Stackelberg Equilibrium from Strategic Feedbacks

Siyu Chen, Mengdi Wang, Zhuoran Yang

专题命中模型式强化学习：model-based RL(abstract)；分类 cs.AI、cs.LG

Comments 129 pages, 1 figure

2307.06630 2023-07-14 cs.CV cs.AI 56%

Image Transformation Sequence Retrieval with General Reinforcement Learning

Enrique Mas-Candela, Antonio Ríos-Vila, Jorge Calvo-Zaragoza

专题命中模型式强化学习：model-based reinforcement learning(abstract)；分类 cs.AI、cs.CV

2210.04165 2023-07-04 cs.LG cs.CE nlin.CD stat.ML 56%

Neural Extended Kalman Filters for Learning and Predicting Dynamics of Structural Systems

Wei Liu, Zhilu Lai, Kiran Bacsa, Eleni Chatzi

专题命中模型式强化学习：latent dynamics(abstract)；分类 cs.LG；dynamics model(abstract)

Comments Accepted for publication in Structural Health Monitoring

Journal ref Structural Health Monitoring, 2023

2212.03771 2023-07-03 q-bio.NC cs.LG 56%

Expressive architectures enhance interpretability of dynamics-based neural population models

Andrew R. Sedler, Christopher Versteeg, Chethan Pandarinath

专题命中模型式强化学习：latent dynamics(abstract)；分类 cs.LG；dynamics model(abstract)

Comments Accepted to Neurons, Behavior, Data analysis and Theory (14 pages, 3 figures). Added missing funding info and updated supplement sections 11.1 and 11.2. Updated acknowledgments

1906.01549 2023-06-06 stat.ML cs.LG 56%

Streaming Variational Monte Carlo

Yuan Zhao, Josue Nassar, Ian Jordan, Mónica Bugallo, Il Memming Park

专题命中模型式强化学习：latent dynamics(abstract)；分类 cs.LG；dynamics model(abstract)

2209.12016 2023-05-26 cs.AI cs.LG 56%

Mastering the Unsupervised Reinforcement Learning Benchmark from Pixels

Sai Rajeswar, Pietro Mazzaglia, Tim Verbelen, Alexandre Piché, Bart Dhoedt, Aaron Courville, Alexandre Lacoste

专题命中模型式强化学习：model-based RL(abstract)；分类 cs.AI、cs.LG

Comments Accepted at ICML 2023 (oral)

2107.04050 2023-05-10 stat.ML cs.LG cs.MA 56%

Efficient Model-Based Multi-Agent Mean-Field Reinforcement Learning

Barna Pásztor, Ilija Bogunovic, Andreas Krause

专题命中模型式强化学习：model-based reinforcement learning(abstract)；分类 cs.LG、cs.MA

Journal ref Pásztor, B., Krause, A., & Bogunovic, I. (2023). Efficient Model-Based Multi-Agent Mean-Field Reinforcement Learning. Transactions on Machine Learning Research

2302.12526 2023-03-08 cs.LG cs.AI stat.ML 56%

Model-Based Uncertainty in Value Functions

Carlos E. Luis, Alessandro G. Bottero, Julia Vinogradska, Felix Berkenkamp, Jan Peters

专题命中模型式强化学习：model-based reinforcement learning(abstract)；分类 cs.AI、cs.LG

Comments AISTATS 2023

2302.10311 2023-02-22 cs.LG cs.AI 56%

Understanding the effect of varying amounts of replay per step

Animesh Kumar Paul, Videh Raj Nema

专题命中模型式强化学习：model-based reinforcement learning(abstract)；分类 cs.AI、cs.LG

Comments 10 Pages, 4 figures

2206.14576 2023-02-22 cs.CL cs.AI cs.LG 56%

Using cognitive psychology to understand GPT-3

Marcel Binz, Eric Schulz

专题命中模型式强化学习：model-based reinforcement learning(abstract)；分类 cs.AI、cs.LG

2302.09846 2023-02-21 cs.RO 56%

Neural Optimal Control using Learned System Dynamics

Selim Engin, Volkan Isler

专题命中模型式强化学习：model-based reinforcement learning(abstract)；分类 cs.RO；dynamics model(abstract)

2302.03958 2023-02-09 cs.AI cs.LG 56%

Non-zero-sum Game Control for Multi-vehicle Driving via Reinforcement Learning

Xujie Song, Zexi Lin

专题命中模型式强化学习：model-based reinforcement learning(abstract)；分类 cs.AI、cs.LG

2301.03933 2023-01-11 astro-ph.IM cs.LG 56%

Hint assisted reinforcement learning: an application in radio astronomy

Sarod Yatawatta

专题命中模型式强化学习：model based reinforcement learning(abstract)；分类 cs.LG；dynamics model(abstract)

2212.08235 2022-12-19 cs.LG cs.RO 56%

A Simple Decentralized Cross-Entropy Method

Zichen Zhang, Jun Jin, Martin Jagersand, Jun Luo, Dale Schuurmans

专题命中模型式强化学习：model-based reinforcement learning(abstract)；分类 cs.LG、cs.RO

Comments NeurIPS 2022. The last two authors advised equally

2211.14827 2022-11-29 cs.LG cs.AI stat.ML 56%

Domain Generalization for Robust Model-Based Offline Reinforcement Learning

Alan Clark, Shoaib Ahmed Siddiqui, Robert Kirk, Usman Anwar, Stephen Chung, David Krueger

专题命中模型式强化学习：model-based RL(abstract)；分类 cs.AI、cs.LG

Comments Accepted to the NeurIPS 2022 Workshops on Distribution Shifts and Offline Reinforcement Learning

2101.12115 2022-11-29 cs.LG cs.RO 56%

Model-Based Policy Search Using Monte Carlo Gradient Estimation with Real Systems Application

Fabio Amadio, Alberto Dalla Libera, Riccardo Antonello, Daniel Nikovski, Ruggero Carli, Diego Romeres

专题命中模型式强化学习：model-based reinforcement learning(abstract)；分类 cs.LG、cs.RO

Comments Accepted in IEEE Transactions on Robotics. MC-PILCO code is publicly available at https://www.merl.com/research/license/MC-PILCO

2211.11758 2022-11-23 cs.LG cs.AI 56%

A Graph Regularized Point Process Model For Event Propagation Sequence

Siqiao Xue, Xiaoming Shi, Hongyan Hao, Lintao Ma, Shiyu Wang, Shijun Wang, James Zhang

专题命中模型式强化学习：latent dynamics(abstract)；分类 cs.AI、cs.LG

Comments IJCNN 2021

Journal ref 2021 International Joint Conference on Neural Networks (IJCNN) (pp. 1-7). IEEE

2106.05969 2022-11-01 cs.CV cs.AI cs.LG cs.RO 56%

Dynamics-Regulated Kinematic Policy for Egocentric Pose Estimation

Zhengyi Luo, Ryo Hachiuma, Ye Yuan, Kris Kitani

专题命中模型式强化学习：分类 cs.AI、cs.LG、cs.CV；dynamics model(abstract)

Comments NeurIPS 2021. Project page: https://zhengyiluo.github.io/projects/kin_poly/

2210.05922 2022-10-13 cs.LG cs.AI 56%

A Unified Framework for Alternating Offline Model Training and Policy Learning

Shentao Yang, Shujian Zhang, Yihao Feng, Mingyuan Zhou

专题命中模型式强化学习：model-based reinforcement learning(abstract)；分类 cs.AI、cs.LG

Comments 36th Conference on Neural Information Processing Systems (NeurIPS 2022)

2210.01805 2022-10-06 cs.LG cs.AI 56%

CostNet: An End-to-End Framework for Goal-Directed Reinforcement Learning

Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo

专题命中模型式强化学习：model-based RL(abstract)；分类 cs.AI、cs.LG

Comments 14 pages, 5 figures, In Proceedings of the International Conference on Innovative Techniques and Applications of Artificial Intelligence, SGAI2020

Journal ref 2020 Springer Nature Switzerland AG

2210.00368 2022-10-04 cs.LG 56%

Parameter-varying neural ordinary differential equations with partition-of-unity networks

Kookjin Lee, Nathaniel Trask

专题命中模型式强化学习：latent dynamics(abstract)；分类 cs.LG；dynamics model(abstract)

2209.12387 2022-09-27 cs.LG cs.AI stat.ML 56%

Neural State-Space Modeling with Latent Causal-Effect Disentanglement

Maryam Toloubidokhti, Ryan Missel, Xiajun Jiang, Niels Otani, Linwei Wang

专题命中模型式强化学习：latent dynamics(abstract)；分类 cs.AI、cs.LG

Comments presented at the 13th Machine Learning in Medical Imaging (MLMI 2022) Workshop

2208.07123 2022-08-16 cs.RO cs.AI 56%

Online 3D Bin Packing Reinforcement Learning Solution with Buffer

Aaron Valero Puche, Sukhan Lee

专题命中模型式强化学习：model-based RL(abstract)；分类 cs.AI、cs.RO

Comments Accepted in IROS 2022

2207.14003 2022-07-29 cs.CL cs.AI cs.CY cs.HC cs.LG 56%

Raising Student Completion Rates with Adaptive Curriculum and Contextual Bandits

Robert Belfer, Ekaterina Kochmar, Iulian Vlad Serban

专题命中模型式强化学习：model-based reinforcement learning(abstract)；分类 cs.AI、cs.LG

Comments 6 pages, 1 figure, To appear in the Proceedings of the 23rd International Conference on Artificial Intelligence in Education (AIED 2022)

2105.06543 2022-07-26 cs.AI cs.LG 56%

Policy Optimization in Dynamic Bayesian Network Hybrid Models of Biomanufacturing Processes

Hua Zheng, Wei Xie, Ilya O. Ryzhov, Dongming Xie

专题命中模型式强化学习：model-based reinforcement learning(abstract)；分类 cs.AI、cs.LG

Comments 36 pages, 6 figures

2205.04424 2022-07-13 cs.RO cs.LG 56%

Accelerated Reinforcement Learning for Temporal Logic Control Objectives

Yiannis Kantaros

专题命中模型式强化学习：model-based reinforcement learning(abstract)；分类 cs.LG、cs.RO

1. 模型式强化学习 1126 篇

Taylor TD-learning

Learning In-between Imagery Dynamics via Physical Latent Spaces

Adaptive PD Control using Deep Reinforcement Learning for Local-Remote Teleoperation with Stochastic Time Delays

Model-Based Multi-Agent RL in Zero-Sum Markov Games with Near-Optimal Sample Complexity

Actions Speak What You Want: Provably Sample-Efficient Reinforcement Learning of the Quantal Stackelberg Equilibrium from Strategic Feedbacks

Image Transformation Sequence Retrieval with General Reinforcement Learning

Neural Extended Kalman Filters for Learning and Predicting Dynamics of Structural Systems

Expressive architectures enhance interpretability of dynamics-based neural population models

Streaming Variational Monte Carlo

Mastering the Unsupervised Reinforcement Learning Benchmark from Pixels

Efficient Model-Based Multi-Agent Mean-Field Reinforcement Learning

Model-Based Uncertainty in Value Functions

Understanding the effect of varying amounts of replay per step

Using cognitive psychology to understand GPT-3

Neural Optimal Control using Learned System Dynamics

Non-zero-sum Game Control for Multi-vehicle Driving via Reinforcement Learning

Hint assisted reinforcement learning: an application in radio astronomy

A Simple Decentralized Cross-Entropy Method

Domain Generalization for Robust Model-Based Offline Reinforcement Learning

Model-Based Policy Search Using Monte Carlo Gradient Estimation with Real Systems Application

A Graph Regularized Point Process Model For Event Propagation Sequence

Dynamics-Regulated Kinematic Policy for Egocentric Pose Estimation

A Unified Framework for Alternating Offline Model Training and Policy Learning

CostNet: An End-to-End Framework for Goal-Directed Reinforcement Learning

Parameter-varying neural ordinary differential equations with partition-of-unity networks

Neural State-Space Modeling with Latent Causal-Effect Disentanglement

Online 3D Bin Packing Reinforcement Learning Solution with Buffer

Raising Student Completion Rates with Adaptive Curriculum and Contextual Bandits

Policy Optimization in Dynamic Bayesian Network Hybrid Models of Biomanufacturing Processes

Accelerated Reinforcement Learning for Temporal Logic Control Objectives