:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Komatsu, Hisato
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	https://arxiv.org/abs/2503.14976
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Multi-agent reinforcement learning using echo-state network and its application to pedestrian dynamics
by: Komatsu, Hisato
Published: (2023)

Deep reinforcement learning for weakly coupled MDP's with continuous actions
by: Robledo, Francisco, et al.
Published: (2024)

Economic span selection of bridge based on deep reinforcement learning
by: Zhang, Leye, et al.
Published: (2024)

Task diversity produces systematic transfer but inhibits continual reinforcement learning
by: Seth, Purab, et al.
Published: (2026)

AOAD-MAT: Transformer-based multi-agent deep reinforcement learning model considering agents' order of action decisions
by: Takayama, Shota, et al.
Published: (2025)

An efficient deep reinforcement learning environment for flexible job-shop scheduling
by: Wu, Xinquan, et al.
Published: (2025)

On the consistency of hyper-parameter selection in value-based deep reinforcement learning
by: Obando-Ceron, Johan, et al.
Published: (2024)

An approach of deep reinforcement learning for maximizing the net present value of stochastic projects
by: Xu, Wei, et al.
Published: (2025)

Designing a double deep reinforcement learning selection tool for resilient demand prediction
by: Benziane, Bilel Abderrahmane, et al.
Published: (2026)

In value-based deep reinforcement learning, a pruned network is a good network
by: Obando-Ceron, Johan, et al.
Published: (2024)

Scores as Actions: a framework of fine-tuning diffusion models by continuous-time reinforcement learning
by: Zhao, Hanyang, et al.
Published: (2024)

Solving the flexible job-shop scheduling problem through an enhanced deep reinforcement learning approach
by: Echeverria, Imanol, et al.
Published: (2023)

Adaptive traffic signal safety and efficiency improvement by multi objective deep reinforcement learning approach
by: Mirbakhsh, Shahin, et al.
Published: (2024)

Learning optimal treatment strategies for intraoperative hypotension using deep reinforcement learning
by: Adiyeke, Esra, et al.
Published: (2025)

Estimating unknown parameters in differential equations with a reinforcement learning based PSO method
by: Sun, Wenkui, et al.
Published: (2024)

Normalization and effective learning rates in reinforcement learning
by: Lyle, Clare, et al.
Published: (2024)

Optimization of geological carbon storage operations with multimodal latent dynamic model and deep reinforcement learning
by: Wang, Zhongzheng, et al.
Published: (2024)

A modular framework for automated evaluation of procedural content generation in serious games with deep reinforcement learning agents
by: Kalafatis, Eleftherios, et al.
Published: (2025)

Active management of battery degradation in wireless sensor network using deep reinforcement learning for group battery replacement
by: Jeong, Jong-Hyun, et al.
Published: (2025)

Differential privacy for medical deep learning: methods, tradeoffs, and deployment implications
by: Mohammadi, Marziyeh, et al.
Published: (2025)

Curriculum reinforcement learning with measurable task representation learning
by: Wen, Yongyan, et al.
Published: (2026)

Exploring the impact of traffic signal control and connected and automated vehicles on intersections safety: A deep reinforcement learning approach
by: Karbasi, Amir Hossein, et al.
Published: (2024)

A multiobjective continuation method to compute the regularization path of deep neural networks
by: Amakor, Augustina C., et al.
Published: (2023)

Explainable deep reinforcement learning reveals energy-efficient control strategies for turbulent drag reduction
by: Tonti, Federica, et al.
Published: (2026)

Ensemble Elastic DQN: A novel multi-step ensemble approach to address overestimation in deep value-based reinforcement learning
by: Ly, Adrian, et al.
Published: (2025)

A transformer-based deep reinforcement learning approach to spatial navigation in a partially observable Morris Water Maze
by: Eggen, Marte, et al.
Published: (2024)

Data efficient surrogate modeling for engineering design: Ensemble-free batch mode deep active learning for regression
by: Kapoor, Sarthak, et al.
Published: (2022)

APF+: Boosting adaptive-potential function reinforcement learning methods with a W-shaped network for high-dimensional games
by: Chen, Yifei, et al.
Published: (2025)

Counterfactual experience augmented off-policy reinforcement learning
by: Lee, Sunbowen, et al.
Published: (2025)

Bellman operator convergence enhancements in reinforcement learning algorithms
by: Kadurha, David Krame, et al.
Published: (2025)

Causal prompting model-based offline reinforcement learning
by: Yu, Xuehui, et al.
Published: (2024)

Deep reinforcement learning with time-scale invariant memory
by: Kabir, Md Rysul, et al.
Published: (2024)

Delayed homomorphic reinforcement learning for environments with delayed feedback
by: Lee, Jongsoo, et al.
Published: (2026)

Offline reinforcement learning for job-shop scheduling problems
by: Echeverria, Imanol, et al.
Published: (2024)

Managing power grids through topology actions: A comparative study between advanced rule-based and reinforcement learning agents
by: Lehna, Malte, et al.
Published: (2023)

Local vs Global continual learning
by: Lanzillotta, Giulia, et al.
Published: (2024)

Soft $Q(λ)$: A multi-step off-policy method for entropy regularised reinforcement learning using eligibility traces
by: Mahajan, Pranav, et al.
Published: (2026)

Automating proton PBS treatment planning for head and neck cancers using policy gradient-based deep reinforcement learning
by: Wang, Qingqing, et al.
Published: (2024)

Leveraging weights signals -- Predicting and improving generalizability in reinforcement learning
by: Moulin, Olivier, et al.
Published: (2025)

Dynamic feature selection in medical predictive monitoring by reinforcement learning
by: Chen, Yutong, et al.
Published: (2024)