:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Ghaffari, Mohsen, Varshosaz, Mahsa, Johnsen, Einar Broch, Wąsowski, Andrzej
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence
Online Access:	https://arxiv.org/abs/2409.16791
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Beyond the Control Equations: An Artifact Study of Implementation Quality in Robot Control Software
by: Chur, Nils, et al.
Published: (2026)

Behavior Trees and State Machines in Robotics Applications
by: Ghzouli, Razan, et al.
Published: (2022)

Towards a Proof System for Probabilistic Dynamic Logic
by: Johnsen, Einar Broch, et al.
Published: (2024)

Reinforcement Learning with Symbolic Reward Machines
by: Krug, Thomas, et al.
Published: (2026)

Inference-Time Code Selection via Symbolic Equivalence Partitioning
by: Cho, David, et al.
Published: (2026)

Self Paced Gaussian Contextual Reinforcement Learning
by: Ardakani, Mohsen Sahraei, et al.
Published: (2026)

Risk-Averse Planning and Plan Assessment for Marine Robots
by: Kashani, Mahya Mohammadi, et al.
Published: (2024)

Reinforcement Learning in Switching Non-Stationary Markov Decision Processes: Algorithms and Convergence Analysis
by: Amiri, Mohsen, et al.
Published: (2025)

Automaton Distillation: Neuro-Symbolic Transfer Learning for Deep Reinforcement Learning
by: Singireddy, Suraj, et al.
Published: (2023)

GRAIL: Autonomous Concept Grounding for Neuro-Symbolic Reinforcement Learning
by: Shindo, Hikaru, et al.
Published: (2026)

LaWM: Least Action World Models for Long-Horizon Physical Consistency from Visual Observations
by: Xiao, Qixin, et al.
Published: (2026)

Uppaal Coshy: Automatic Synthesis of Compact Shields for Hybrid Systems
by: Brorholt, Asger Horn, et al.
Published: (2025)

Graph Neural Network-Based Reinforcement Learning for Controlling Biological Networks - the GATTACA Framework
by: Mizera, Andrzej, et al.
Published: (2025)

LLM-Augmented Symbolic Reinforcement Learning with Landmark-Based Task Decomposition
by: Kheirandish, Alireza, et al.
Published: (2024)

Fundamental Approaches to Software Engineering 25th International Conference, FASE 2022, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2022, Munich, Germany, April 2–7, 2022, Proceedings
by: Einar Broch Johnsen

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

Generative Pre-Trained Transformer for Symbolic Regression Base In-Context Reinforcement Learning
by: Li, Yanjie, et al.
Published: (2024)

Constructive Symbolic Reinforcement Learning via Intuitionistic Logic and Goal-Chaining Inference
by: Patrascu, Andrei T.
Published: (2025)

ISR: Invertible Symbolic Regression
by: Tohme, Tony, et al.
Published: (2024)

Generalized Euler Logarithm and its Applications in Machine Learning: Natural Gradient, Backpropagation, Generalized EG, Mirror Descent and OLPS
by: Cichocki, Andrzej
Published: (2025)

Interactive Symbolic Regression through Offline Reinforcement Learning: A Co-Design Framework
by: Tian, Yuan, et al.
Published: (2024)

State-free Reinforcement Learning
by: Chen, Mingyu, et al.
Published: (2024)

Sensi: Learn One Thing at a Time -- Curriculum-Based Test-Time Learning for LLM Game Agents
by: Arjmandi, Mohsen
Published: (2026)

Graph-Conditioned Mixture of Graph Neural Network Experts for Traffic Forecasting
by: Ghaffari, Amirhossein, et al.
Published: (2026)

Beyond Error-Based Optimization: Experience-Driven Symbolic Regression with Goal-Conditioned Reinforcement Learning
by: Sun, Jianwen, et al.
Published: (2026)

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

Deep Reinforcement Learning for Controlled Traversing of the Attractor Landscape of Boolean Models in the Context of Cellular Reprogramming
by: Mizera, Andrzej, et al.
Published: (2024)

State-Constrained Offline Reinforcement Learning
by: Hepburn, Charles A., et al.
Published: (2024)

Reinforcement Learning with Exogenous States and Rewards
by: Trimponias, George, et al.
Published: (2023)

Lie Neurons: Adjoint-Equivariant Neural Networks for Semisimple Lie Algebras
by: Lin, Tzu-Yuan, et al.
Published: (2023)

ROSA: A Knowledge-based Solution for Robot Self-Adaptation
by: Silva, Gustavo Rezende, et al.
Published: (2025)

Learning Markov State Abstractions for Deep Reinforcement Learning
by: Allen, Cameron, et al.
Published: (2021)

Neuro-Symbolic Imitation Learning: Discovering Symbolic Abstractions for Skill Learning
by: Keller, Leon, et al.
Published: (2025)

Structure Development in List-Sorting Transformers
by: Urdshals, Einar, et al.
Published: (2025)

Multi-objective Optimization by Learning Space Partitions
by: Zhao, Yiyang, et al.
Published: (2021)

Neighboring State-based Exploration for Reinforcement Learning
by: Li, Yu-Teng, et al.
Published: (2022)

Distilling Reinforcement Learning Policies for Interpretable Robot Locomotion: Gradient Boosting Machines and Symbolic Regression
by: Acero, Fernando, et al.
Published: (2024)

A Survey of State Representation Learning for Deep Reinforcement Learning
by: Echchahed, Ayoub, et al.
Published: (2025)

STM-Graph: A Python Framework for Spatio-Temporal Mapping and Graph Neural Network Predictions
by: Ghaffari, Amirhossein, et al.
Published: (2025)

Mirror Descent Using the Tempesta Generalized Multi-parametric Logarithms
by: Cichocki, Andrzej
Published: (2025)