Papers

• Neetyabhas: A Framework for Uncertainty-Aware Public Policy Optimization in Rational Agent-Based Models (2026)
  Janani Venugopalan et al.
  5.44
• The Dynamic Verifiable Multi-Agent Human Agentic Loyalty Loop (DVM-HALL) Model and the Net Human-Agent Score (NHAS) in Autonomous Commerce (2026)
  Sai Srikanth Madugula et al.
  3.51
• DQ4FairIM: Fairness-aware Influence Maximization using Deep Reinforcement Learning (2025)
  Akrati Saxena et al.
  1.61
• Fine-Tuning Diffusion-Based Recommender Systems via Reinforcement Learning with Reward Function Optimization (2025)
  Yu Hou et al.
  1.56
• Inclusive Fitness as a Key Step Towards More Advanced Social Behaviors in Multi-Agent Reinforcement Learning Settings (2025)
  Andries Rosseau et al.
  1.50
• Do You Trust the Process?: Modeling Institutional Trust for Community Adoption of Reinforcement Learning Policies (2025)
  Naina Balepur et al.
  1.50
• HCRide: Harmonizing Passenger Fairness and Driver Preference for Human-Centered Ride-Hailing (2025)
  Lin Jiang et al.
  1.39
• Dynamic Evolution of Complex Networks: A Reinforcement Learning Approach Applying Evolutionary Games to Community Structure (2025)
  Bin Pi et al.
  1.28
• Lifelong Reinforcement Learning with Similarity-Driven Weighting by Large Models (2025)
  Zhiyi Huang et al.
  1.11
• Predictive Response Optimization: Using Reinforcement Learning to Fight Online Social Network Abuse (2025)
  Garrett Wilson et al.
  1.06
• CayleyPy RL: Pathfinding and Reinforcement Learning on Cayley Graphs (2025)
  A. Chervov et al.
  1.06
• FedGraph: Federated Graph Learning with Intelligent Sampling (2021)
  Fahao Chen et al.
  —
• Domain Adaptive Fake News Detection via Reinforcement Learning (2022)
  Ahmadreza Mosallanezhad et al.
  —
• Deep Page-Level Interest Network in Reinforcement Learning for Ads Allocation (2022)
  Guogang Liao et al.
  —
• Spread Control Method on Unknown Networks Based on Hierarchical Reinforcement Learning (2023)
  Wenxiang Dong et al.
  —
• Finding Influencers in Complex Networks: An Effective Deep Reinforcement Learning Approach (2023)
  Changan Liu et al.
  —
• Deconstructing Cooperation and Ostracism via Multi-Agent Reinforcement Learning (2023)
  Atsushi Ueshima et al.
  —
• Crowd-PrefRL: Preference-Based Reward Learning from Crowds (2024)
  David Chhan et al.
  —
• Graph Enhanced Reinforcement Learning for Effective Group Formation in Collaborative Problem Solving (2024)
  Zheng Fang et al.
  —
• Reinforcement Learning Discovers Efficient Decentralized Graph Path Search Strategies (2024)
  Alexei Pisacane et al.
  —
• Towards Opinion Shaping: A Deep Reinforcement Learning Approach in Bot-User Interactions (2024)
  Farbod Siahkali et al.
  —
• Non-Progressive Influence Maximization in Dynamic Social Networks (2024)
  Yunming Hui and Shihan Wang and Melisachew Wudage Chekol and Stevan Rudinac and Inez Maria Zwetsloot
  —