世界模型 - arXivDaily 专题

2310.04159 2024-04-16 cs.LG 56%

Amortized Network Intervention to Steer the Excitatory Point Processes

Zitao Song, Wendi Ren, Shuang Li

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

2403.14110 2024-03-22 cs.LG cs.AI 56%

Heuristic Algorithm-based Action Masking Reinforcement Learning (HAAM-RL) with Ensemble Inference Method

Kyuwon Choi, Cheolkyun Rho, Taeyoun Kim, Daewoo Choi

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

Comments 7 pages, 8 figures

2310.00229 2024-03-19 cs.AI cs.LG 56%

Consciousness-Inspired Spatio-Temporal Abstractions for Better Generalization in Reinforcement Learning

Mingde Zhao, Safa Alver, Harm van Seijen, Romain Laroche, Doina Precup, Yoshua Bengio

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

Comments ICLR 2024 Camera-Ready

2306.17366 2024-03-04 cs.LG cs.AI 56%

$λ$-models: Effective Decision-Aware Reinforcement Learning with Latent Models

Claas A Voelcker, Arash Ahmadian, Romina Abachi, Igor Gilitschenski, Amir-massoud Farahmand

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

2401.13282 2024-01-25 cs.LG cs.AI 56%

RefreshNet: Learning Multiscale Dynamics through Hierarchical Refreshing

Junaid Farooq, Danish Rafiq, Pantelis R. Vlachas, Mohammad Abid Bazaz

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

2401.07369 2024-01-17 cs.LG cs.RO 56%

CoVO-MPC: Theoretical Analysis of Sampling-based MPC and Optimal Covariance Design

Zeji Yi, Chaoyi Pan, Guanqi He, Guannan Qu, Guanya Shi

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

Comments 32 pages, 4 figures

2302.11048 2023-12-29 cs.LG cs.AI 56%

Adversarial Model for Offline Reinforcement Learning

Mohak Bhardwaj, Tengyang Xie, Byron Boots, Nan Jiang, Ching-An Cheng

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

Comments Accepted at the Neural Information Processing Systems (NeurIPS), 2023. Mohak Bhardwaj and Tengyang Xie contributed equally to this work. arXiv admin note: text overlap with arXiv:2211.04538

2303.10426 2023-11-30 cs.LG 56%

Discovering Predictable Latent Factors for Time Series Forecasting

Jingyi Hou, Zhen Dong, Jiayu Zhou, Zhijie Liu

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

2309.12671 2023-10-25 cs.LG cs.AI 56%

How to Fine-tune the Model: Unified Model Shift and Model Bias Policy Optimization

Hai Zhang, Hang Yu, Junqiao Zhao, Di Zhang, Chang Huang, Hongtu Zhou, Xiao Zhang, Chen Ye

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

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

1. 模型式强化学习 1124 篇

Amortized Network Intervention to Steer the Excitatory Point Processes

Heuristic Algorithm-based Action Masking Reinforcement Learning (HAAM-RL) with Ensemble Inference Method

Consciousness-Inspired Spatio-Temporal Abstractions for Better Generalization in Reinforcement Learning

$λ$-models: Effective Decision-Aware Reinforcement Learning with Latent Models

RefreshNet: Learning Multiscale Dynamics through Hierarchical Refreshing

CoVO-MPC: Theoretical Analysis of Sampling-based MPC and Optimal Covariance Design

Adversarial Model for Offline Reinforcement Learning

Discovering Predictable Latent Factors for Time Series Forecasting

How to Fine-tune the Model: Unified Model Shift and Model Bias Policy Optimization

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