:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Meena, Yogesh Kumar, Agarwal, Saurabh, Arya, K. V.
Format:	Preprint
Published:	2026
Subjects:	Artificial Intelligence Machine Learning
Online Access:	https://arxiv.org/abs/2606.02035
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MultiFusionNet: Multilayer Multimodal Fusion of Deep Neural Networks for Chest X-Ray Image Classification
by: Agarwal, Saurabh, et al.
Published: (2024)

Multimodal Appearance based Gaze-Controlled Virtual Keyboard with Synchronous Asynchronous Interaction for Low-Resource Settings
by: Meena, Yogesh Kumar, et al.
Published: (2025)

CR3G: Causal Reasoning for Patient-Centric Explanations in Radiology Report Generation
by: Kumar, Satyam
Published: (2025)

Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation
by: Baba, Kaito, et al.
Published: (2026)

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

Design Considerations in Offline Preference-based RL
by: Agarwal, Alekh, et al.
Published: (2025)

Aligning Findings with Diagnosis: A Self-Consistent Reinforcement Learning Framework for Trustworthy Radiology Reporting
by: Zhao, Kun, et al.
Published: (2026)

Eau De $Q$-Network: Adaptive Distillation of Neural Networks in Deep Reinforcement Learning
by: Vincent, Théo, et al.
Published: (2025)

Knowledge Transfer in Deep Reinforcement Learning via an RL-Specific GAN-Based Correspondence Function
by: Ruman, Marko, et al.
Published: (2022)

RL$^3$: Boosting Meta Reinforcement Learning via RL inside RL$^2$
by: Bhatia, Abhinav, et al.
Published: (2023)

Automated Structured Radiology Report Generation with Rich Clinical Context
by: Kang, Seongjae, et al.
Published: (2025)

Radiology Report Generation via Multi-objective Preference Optimization
by: Xiao, Ting, et al.
Published: (2024)

Continual Learning as Computationally Constrained Reinforcement Learning
by: Kumar, Saurabh, et al.
Published: (2023)

EchoRL: Reinforcement Learning via Rollout Echoing
by: Bi, Jinhe, et al.
Published: (2026)

RL-GPT: Integrating Reinforcement Learning and Code-as-policy
by: Liu, Shaoteng, et al.
Published: (2024)

Bridging the Performance Gap Between Target-Free and Target-Based Reinforcement Learning
by: Vincent, Théo, et al.
Published: (2025)

Generalized Adaptive Transfer Network: Enhancing Transfer Learning in Reinforcement Learning Across Domains
by: Verma, Abhishek, et al.
Published: (2025)

Proto Successor Measure: Representing the Behavior Space of an RL Agent
by: Agarwal, Siddhant, et al.
Published: (2024)

Clinically Grounded Agent-based Report Evaluation: An Interpretable Metric for Radiology Report Generation
by: Dua, Radhika, et al.
Published: (2025)

Joint Optimization of Multi-Objective Reinforcement Learning with Policy Gradient Based Algorithm
by: Bai, Qinbo, et al.
Published: (2021)

Explaining RL Decisions with Trajectories
by: Deshmukh, Shripad Vilasrao, et al.
Published: (2023)

Integrating ChatGPT into Secure Hospital Networks: A Case Study on Improving Radiology Report Analysis
by: Kim, Kyungsu, et al.
Published: (2024)

TruthRL: Incentivizing Truthful LLMs via Reinforcement Learning
by: Wei, Zhepei, et al.
Published: (2025)

Non-Linear Reinforcement Learning in Large Action Spaces: Structural Conditions and Sample-efficiency of Posterior Sampling
by: Agarwal, Alekh, et al.
Published: (2022)

FBOS-RL: Feedback-Driven Bi-Objective Synergistic Reinforcement Learning
by: Zhang, Xikai, et al.
Published: (2026)

SOLAR-RL: Semi-Online Long-horizon Assignment Reinforcement Learning
by: Wang, Jichao, et al.
Published: (2026)

RL2Grid: Benchmarking Reinforcement Learning in Power Grid Operations
by: Marchesini, Enrico, et al.
Published: (2025)

MobileRL: Online Agentic Reinforcement Learning for Mobile GUI Agents
by: Xu, Yifan, et al.
Published: (2025)

RL4CO: an Extensive Reinforcement Learning for Combinatorial Optimization Benchmark
by: Berto, Federico, et al.
Published: (2023)

Policy Agnostic RL: Offline RL and Online RL Fine-Tuning of Any Class and Backbone
by: Mark, Max Sobol, et al.
Published: (2024)

Maintaining Plasticity in Continual Learning via Regenerative Regularization
by: Kumar, Saurabh, et al.
Published: (2023)

Robust Evolutionary Multi-Objective Network Architecture Search for Reinforcement Learning (EMNAS-RL)
by: Adde, Nihal Acharya, et al.
Published: (2025)

Dynamic Co-Optimization Compiler: Leveraging Multi-Agent Reinforcement Learning for Enhanced DNN Accelerator Performance
by: Fayyazi, Arya, et al.
Published: (2024)

Is Value Learning Really the Main Bottleneck in Offline RL?
by: Park, Seohong, et al.
Published: (2024)

Dual RL: Unification and New Methods for Reinforcement and Imitation Learning
by: Sikchi, Harshit, et al.
Published: (2023)

Reinforcement Learning (RL) Meets Urban Climate Modeling: Investigating the Efficacy and Impacts of RL-Based HVAC Control
by: Yu, Junjie, et al.
Published: (2025)

CoBA-RL: Capability-Oriented Budget Allocation for Reinforcement Learning in LLMs
by: Yao, Zhiyuan, et al.
Published: (2026)

CARE-RL: Capability-Aware Reinforcement Learning for Mitigating Cross-Domain Conflicts
by: Zhang, Rui, et al.
Published: (2026)

AstRL: Analog and Mixed-Signal Circuit Synthesis with Deep Reinforcement Learning
by: Guo, Felicia B., et al.
Published: (2026)

Counteractive RL: Rethinking Core Principles for Efficient and Scalable Deep Reinforcement Learning
by: Korkmaz, Ezgi
Published: (2026)