世界模型 - arXivDaily 专题

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

2112.04153 2022-07-01 cs.LG cs.AI 56%

Model-Value Inconsistency as a Signal for Epistemic Uncertainty

Angelos Filos, Eszter Vértes, Zita Marinho, Gregory Farquhar, Diana Borsa, Abram Friesen, Feryal Behbahani, Tom Schaul, André Barreto, Simon Osindero

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

Comments The first three authors contributed equally. Accepted at ICML 2022

2206.13452 2022-06-28 cs.LG 56%

Causal Dynamics Learning for Task-Independent State Abstraction

Zizhao Wang, Xuesu Xiao, Zifan Xu, Yuke Zhu, Peter Stone

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

Comments International Conference on Machine Learning 2022 (ICML)

2202.00602 2022-06-20 stat.ML cs.AI cs.LG 56%

Meta-Learning Hypothesis Spaces for Sequential Decision-making

Parnian Kassraie, Jonas Rothfuss, Andreas Krause

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

Comments 23 pages, 11 figures

2205.10736 2022-05-24 cs.LG cs.AI stat.ML 56%

Should Models Be Accurate?

Esra'a Saleh, John D. Martin, Anna Koop, Arash Pourzarabi, Michael Bowling

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

Comments The 5th Multidisciplinary Conference on Reinforcement Learning and Decision Making ( RLDM 2022 )

2110.11236 2022-03-29 cs.LG cs.AI q-bio.NC 56%

Variational Predictive Routing with Nested Subjective Timescales

Alexey Zakharov, Qinghai Guo, Zafeirios Fountas

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

Comments 18 pages, 13 figures

Journal ref Tenth International Conference on Learning Representations (ICLR 2022)

2201.01353 2022-03-22 cs.LG cs.CV cs.SY eess.SY 56%

Linear Variational State-Space Filtering

Daniel Pfrommer, Nikolai Matni

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

Comments 18 pages, 6 figures. Fixed proof in appendix. For associated code, see https://github.com/pfrommerd/variational_state_space_models

2203.05079 2022-03-11 cs.LG cs.AI 56%

SAGE: Generating Symbolic Goals for Myopic Models in Deep Reinforcement Learning

Andrew Chester, Michael Dann, Fabio Zambetta, John Thangarajah

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

Comments 11 pages, 8 figures, 3 tables

2203.01810 2022-03-04 cs.LG cs.AI 56%

Integrating Contrastive Learning with Dynamic Models for Reinforcement Learning from Images

Bang You, Oleg Arenz, Youping Chen, Jan Peters

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

Comments 28 pages, 11 figures, 5 tables

Journal ref Neurocomputing 476(2022)102-114

2202.06036 2022-02-15 cs.LG cs.AI 56%

Neural NID Rules

Luca Viano, Johanni Brea

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

Comments Physical Reasoning and Inductive Biases for the Real World at NeurIPS 2021

2106.11735 2022-01-11 cs.LG cs.AI cs.LO 56%

Lifted Model Checking for Relational MDPs

Wen-Chi Yang, Jean-François Raskin, Luc De Raedt

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

2112.10504 2021-12-21 cs.LG cs.AI 56%

Sample-Efficient Reinforcement Learning via Conservative Model-Based Actor-Critic

Zhihai Wang, Jie Wang, Qi Zhou, Bin Li, Houqiang Li

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

Comments Accepted to AAAI22

2106.10316 2021-12-14 cs.AI cs.LG 56%

Proper Value Equivalence

Christopher Grimm, André Barreto, Gregory Farquhar, David Silver, Satinder Singh

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

Journal ref NeurIPS 2021

1906.08253 2021-11-30 cs.LG cs.AI stat.ML 56%

When to Trust Your Model: Model-Based Policy Optimization

Michael Janner, Justin Fu, Marvin Zhang, Sergey Levine

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

Comments NeurIPS 2019. Code at https://github.com/JannerM/mbpo, project page at: https://jannerm.github.io/mbpo-www/

1903.00715 2021-11-03 cs.LG cs.AI stat.ML 56%

Efficient Reinforcement Learning for StarCraft by Abstract Forward Models and Transfer Learning

Ruo-Ze Liu, Haifeng Guo, Xiaozhong Ji, Yang Yu, Zhen-Jia Pang, Zitai Xiao, Yuzhou Wu, Tong Lu

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

2110.15489 2021-11-01 cs.LG cs.AI 56%

GalilAI: Out-of-Task Distribution Detection using Causal Active Experimentation for Safe Transfer RL

Sumedh A Sontakke, Stephen Iota, Zizhao Hu, Arash Mehrjou, Laurent Itti, Bernhard Schölkopf

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

2110.14524 2021-10-28 cs.LG cs.MA 56%

Model based Multi-agent Reinforcement Learning with Tensor Decompositions

Pascal Van Der Vaart, Anuj Mahajan, Shimon Whiteson

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

Journal ref 2nd Workshop on Quantum Tensor Networks in Machine Learning (NeurIPS 2021)

2110.12840 2021-10-26 cs.LG cs.AI stat.ML 56%

Self-Consistent Models and Values

Gregory Farquhar, Kate Baumli, Zita Marinho, Angelos Filos, Matteo Hessel, Hado van Hasselt, David Silver

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

Comments NeurIPS 2021

2110.07910 2021-10-18 cs.LG cs.AI 56%

SaLinA: Sequential Learning of Agents

Ludovic Denoyer, Alfredo de la Fuente, Song Duong, Jean-Baptiste Gaya, Pierre-Alexandre Kamienny, Daniel H. Thompson

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

2102.10242 2021-09-23 cs.CL cs.AI cs.LG 56%

Towards Automatic Evaluation of Dialog Systems: A Model-Free Off-Policy Evaluation Approach

Haoming Jiang, Bo Dai, Mengjiao Yang, Tuo Zhao, Wei Wei

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

Comments Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021

2109.03214 2021-09-08 cs.LG cs.AI 56%

Robust Predictable Control

Benjamin Eysenbach, Ruslan Salakhutdinov, Sergey Levine

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

Comments Project site with videos and code: https://ben-eysenbach.github.io/rpc

2003.01852 2021-08-27 cs.LG cs.RO stat.ML 56%

q-VAE for Disentangled Representation Learning and Latent Dynamical Systems

Taisuke Kobayashi

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

Comments 8 pages, 8 figures

Journal ref IEEE Robotics and Automation Letters, 2020

1. 模型式强化学习 1124 篇

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

Model-Value Inconsistency as a Signal for Epistemic Uncertainty

Causal Dynamics Learning for Task-Independent State Abstraction

Meta-Learning Hypothesis Spaces for Sequential Decision-making

Should Models Be Accurate?

Variational Predictive Routing with Nested Subjective Timescales

Linear Variational State-Space Filtering

SAGE: Generating Symbolic Goals for Myopic Models in Deep Reinforcement Learning

Integrating Contrastive Learning with Dynamic Models for Reinforcement Learning from Images

Neural NID Rules

Lifted Model Checking for Relational MDPs

Sample-Efficient Reinforcement Learning via Conservative Model-Based Actor-Critic

Proper Value Equivalence

When to Trust Your Model: Model-Based Policy Optimization

Efficient Reinforcement Learning for StarCraft by Abstract Forward Models and Transfer Learning

GalilAI: Out-of-Task Distribution Detection using Causal Active Experimentation for Safe Transfer RL

Model based Multi-agent Reinforcement Learning with Tensor Decompositions

Self-Consistent Models and Values

SaLinA: Sequential Learning of Agents

Towards Automatic Evaluation of Dialog Systems: A Model-Free Off-Policy Evaluation Approach

Robust Predictable Control

q-VAE for Disentangled Representation Learning and Latent Dynamical Systems