Cover Image

MORAL: A Multimodal Reinforcement Learning Framework for Decision Making in Autonomous Laboratories

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Tirabassi, Natalie, Kumar, Sathish A. P., Jha, Sumit, Ramanathan, Arvind
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

ACE-RLHF: Automated Code Evaluation and Socratic Feedback Generation Tool using Large Language Models and Reinforcement Learning with Human Feedback
by: Rahman, Tasnia, et al.
Published: (2025)

DML-RAM: Deep Multimodal Learning Framework for Robotic Arm Manipulation using Pre-trained Models
by: Kumar, Sathish, et al.
Published: (2025)

Enhanced Penalty-based Bidirectional Reinforcement Learning Algorithms
by: Pula, Sai Gana Sandeep, et al.
Published: (2025)

Augmented Reinforcement Learning Framework For Enhancing Decision-Making In Machine Learning Models Using External Agents
by: Singh, Sandesh Kumar
Published: (2025)

Demystifying the Physics of Deep Reinforcement Learning-Based Autonomous Vehicle Decision-Making
by: Wan, Hanxi, et al.
Published: (2024)

Intent-Context Synergy Reinforcement Learning for Autonomous UAV Decision-Making in Air Combat
by: Fu, Jiahao, et al.
Published: (2026)

Structured Reinforcement Learning for Combinatorial Decision-Making
by: Hoppe, Heiko, et al.
Published: (2025)

Autonomous Vehicle Decision-Making Framework for Considering Malicious Behavior at Unsignalized Intersections
by: Li, Qing, et al.
Published: (2024)

Large Language Model Integration with Reinforcement Learning to Augment Decision-Making in Autonomous Cyber Operations
by: Tholl, Konur, et al.
Published: (2025)

Tactical Decision Making for Autonomous Trucks by Deep Reinforcement Learning with Total Cost of Operation Based Reward
by: Pathare, Deepthi, et al.
Published: (2024)

Research on Short-Video Platform User Decision-Making via Multimodal Temporal Modeling and Reinforcement Learning
by: Wang, Jinmeiyang, et al.
Published: (2025)

Incorporating Cognitive Biases into Reinforcement Learning for Financial Decision-Making
by: He, Liu
Published: (2026)

BIONIX: A Wireless, Low-Cost Prosthetic Arm with Dual-Signal EEG and EMG Control
by: Kumar, Pranesh Sathish
Published: (2025)

Spatial-Aware Decision-Making with Ring Attractors in Reinforcement Learning Systems
by: Saura, Marcos Negre, et al.
Published: (2024)

Fairness-Aware Reinforcement Learning (FAReL): A Framework for Transparent and Balanced Sequential Decision-Making
by: Cimpean, Alexandra, et al.
Published: (2025)

Improving Human Sequential Decision-Making with Reinforcement Learning
by: Bastani, Hamsa, et al.
Published: (2021)

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

Using Reinforcement Learning to Integrate Subjective Wellbeing into Climate Adaptation Decision Making
by: Vandervoort, Arthur, et al.
Published: (2025)

Research on Autonomous Driving Decision-making Strategies based Deep Reinforcement Learning
by: Wang, Zixiang, et al.
Published: (2024)

Improving Reinforcement Learning Sample-Efficiency using Local Approximation
by: Prashant, Mohit, et al.
Published: (2025)

Optimal Sequential Decision-Making in Geosteering: A Reinforcement Learning Approach
by: Muhammad, Ressi Bonti, et al.
Published: (2023)

Constrained Online Decision-Making: A Unified Framework
by: Hu, Haichen, et al.
Published: (2025)

Combining Bayesian Inference and Reinforcement Learning for Agent Decision Making: A Review
by: Zhou, Chengmin, et al.
Published: (2025)

New Spiking Architecture for Multi-Modal Decision-Making in Autonomous Vehicles
by: Ghoreishee, Aref, et al.
Published: (2025)

Using Surprise Index for Competency Assessment in Autonomous Decision-Making
by: Ratheesh, Akash, et al.
Published: (2023)

HMM for Discovering Decision-Making Dynamics Using Reinforcement Learning Experiments
by: Guo, Xingche, et al.
Published: (2024)

Balancing Classification and Calibration Performance in Decision-Making LLMs via Calibration Aware Reinforcement Learning
by: Yaldiz, Duygu Nur, et al.
Published: (2026)

Scenario-Based Hierarchical Reinforcement Learning for Automated Driving Decision Making
by: Abdelhamid, M. Youssef, et al.
Published: (2025)

Aligning Learning and Endogenous Decision-Making
by: Cristian, Rares, et al.
Published: (2025)

Offline Inverse Constrained Reinforcement Learning for Safe-Critical Decision Making in Healthcare
by: Fang, Nan, et al.
Published: (2024)

Autonomous Reinforcement Learning Robot Control with Intel's Loihi 2 Neuromorphic Hardware
by: Stewart, Kenneth, et al.
Published: (2025)

Unveiling the Decision-Making Process in Reinforcement Learning with Genetic Programming
by: Eberhardinger, Manuel, et al.
Published: (2024)

A Reduction-based Framework for Sequential Decision Making with Delayed Feedback
by: Yang, Yunchang, et al.
Published: (2023)

Integrating Reason-Based Moral Decision-Making in the Reinforcement Learning Architecture
by: Dargasz, Lisa
Published: (2025)

Language Agents for Hypothesis-driven Clinical Decision Making with Reinforcement Learning
by: Bani-Harouni, David, et al.
Published: (2025)

MTBBench: A Multimodal Sequential Clinical Decision-Making Benchmark in Oncology
by: Vasilev, Kiril, et al.
Published: (2025)

Gen-DFL: Decision-Focused Generative Learning for Robust Decision Making
by: Wang, Prince Zizhuang, et al.
Published: (2025)

V-Max: A Reinforcement Learning Framework for Autonomous Driving
by: Charraut, Valentin, et al.
Published: (2025)

HCRMP: A LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving
by: Chen, Zhiwen, et al.
Published: (2025)

Reinforced Sequential Decision-Making for Sepsis Treatment: The POSNEGDM Framework with Mortality Classifier and Transformer
by: Tamboli, Dipesh, et al.
Published: (2024)