:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Remman, Sindre Benjamin, Lekkas, Anastasios M.
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence
Online Access:	https://arxiv.org/abs/2402.12939
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Deep Reinforcement Learning Behavioral Mode Switching Using Optimal Control Based on a Latent Space Objective
by: Remman, Sindre Benjamin, et al.
Published: (2024)

Realistic Counterfactual Explanations for Machine Learning-Controlled Mobile Robots using 2D LiDAR
by: Remman, Sindre Benjamin, et al.
Published: (2025)

Policy-Based Trajectory Clustering in Offline Reinforcement Learning
by: Hu, Hao, et al.
Published: (2025)

Using Part-based Representations for Explainable Deep Reinforcement Learning
by: Kirtas, Manos, et al.
Published: (2024)

Behavior-Consistent Deep Reinforcement Learning
by: Hussing, Marcel, et al.
Published: (2026)

Offline Reinforcement Learning with Generative Trajectory Policies
by: Feng, Xinsong, et al.
Published: (2025)

Illuminating Spaces: Deep Reinforcement Learning and Laser-Wall Partitioning for Architectural Layout Generation
by: Kakooee, Reza, et al.
Published: (2025)

Flow-based Policy With Distributional Reinforcement Learning in Trajectory Optimization
by: Hao, Ruijie, et al.
Published: (2026)

FinXplore: An Adaptive Deep Reinforcement Learning Framework for Balancing and Discovering Investment Opportunities
by: Choudhary, Himanshu, et al.
Published: (2025)

Constrained Latent Action Policies for Model-Based Offline Reinforcement Learning
by: Alles, Marvin, et al.
Published: (2024)

Discovering Temporally-Aware Reinforcement Learning Algorithms
by: Jackson, Matthew Thomas, et al.
Published: (2024)

Offline Safe Reinforcement Learning Using Trajectory Classification
by: Gong, Ze, et al.
Published: (2024)

Deep Causal Behavioral Policy Learning: Applications to Healthcare
by: Knecht, Jonas, et al.
Published: (2025)

Latent-Space Contrastive Reinforcement Learning for Stable and Efficient LLM Reasoning
by: Shan, Lianlei, et al.
Published: (2026)

Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning
by: Gao, Chen-Xiao, et al.
Published: (2025)

Predictive Clustering of Vessel Behavior Based on Hierarchical Trajectory Representation
by: Zhang, Rui, et al.
Published: (2024)

Exploring the Edges of Latent State Clusters for Goal-Conditioned Reinforcement Learning
by: Duan, Yuanlin, et al.
Published: (2024)

Discovering Reinforcement Learning Interfaces with Large Language Models
by: Jaswal, Akshat Singh, et al.
Published: (2026)

Clustering-Based Weight Orthogonalization for Stabilizing Deep Reinforcement Learning
by: Ma, Guoqing, et al.
Published: (2025)

Fine-tuning Behavioral Cloning Policies with Preference-Based Reinforcement Learning
by: Macuglia, Maël, et al.
Published: (2025)

Robust Deep Reinforcement Learning against Adversarial Behavior Manipulation
by: Yamabe, Shojiro, et al.
Published: (2024)

Mastering the Game of Guandan with Deep Reinforcement Learning and Behavior Regulating
by: Yanggong, Yifan, et al.
Published: (2024)

Reclaiming the Source of Programmatic Policies: Programmatic versus Latent Spaces
by: Carvalho, Tales H., et al.
Published: (2024)

Combinatorial Optimization with Policy Adaptation using Latent Space Search
by: Chalumeau, Felix, et al.
Published: (2023)

A Study of Plasticity Loss in On-Policy Deep Reinforcement Learning
by: Juliani, Arthur, et al.
Published: (2024)

DeepStock: Reinforcement Learning with Policy Regularizations for Inventory Management
by: Xie, Yaqi, et al.
Published: (2026)

Satisficing Exploration for Deep Reinforcement Learning
by: Arumugam, Dilip, et al.
Published: (2024)

Efficient On-Policy Reinforcement Learning via Exploration of Sparse Parameter Space
by: Zhang, Xinyu, et al.
Published: (2025)

Deep Learning Warm Starts for Trajectory Optimization on the International Space Station
by: Banerjee, Somrita, et al.
Published: (2025)

DiffTORI: Differentiable Trajectory Optimization for Deep Reinforcement and Imitation Learning
by: Wan, Weikang, et al.
Published: (2024)

Deep Reinforcement Learning for Solving Management Problems: Towards A Large Management Mode
by: Jiang, Jinyang, et al.
Published: (2024)

From Parameters to Behaviors: Unsupervised Compression of the Policy Space
by: Tenedini, Davide, et al.
Published: (2025)

Adapting the Behavior of Reinforcement Learning Agents to Changing Action Spaces and Reward Functions
by: de la Rosa, Raul, et al.
Published: (2026)

Deep Symbolic Learning: Discovering Symbols and Rules from Perceptions
by: Daniele, Alessandro, et al.
Published: (2022)

Optimal Policy Sparsification and Low Rank Decomposition for Deep Reinforcement Learning
by: Goddla, Vikram
Published: (2024)

SafeAdapt: Provably Safe Policy Updates in Deep Reinforcement Learning
by: Anisimov, Maksim, et al.
Published: (2026)

The Impact of On-Policy Parallelized Data Collection on Deep Reinforcement Learning Networks
by: Mayor, Walter, et al.
Published: (2025)

Efficient Deep Reinforcement Learning with Predictive Processing Proximal Policy Optimization
by: Küçükoğlu, Burcu, et al.
Published: (2022)

Deep Reinforcement Learning for Inventory Networks: Toward Reliable Policy Optimization
by: Alvo, Matias, et al.
Published: (2023)

Discretizing Continuous Action Space with Unimodal Probability Distributions for On-Policy Reinforcement Learning
by: Zhu, Yuanyang, et al.
Published: (2024)