2 papers
cs.RO2026
Enhancing Human-Likeness in Reinforcement Learning Agents via Hierarchical Macro Action Quantization
Usman Nizamani, M. Shaheer Luqman, Fawad Javed Fateh +4
Human-like agents are a long-standing goal of artificial intelligence. Despite strong performance, most reinforcement learning (RL) agents remain reward-driven and often exhibit be…
cs.LG2025
Optimized Local Updates in Federated Learning via Reinforcement Learning
Ali Murad, Bo Hui, Wei-Shinn Ku
Federated Learning (FL) is a distributed framework for collaborative model training over large-scale distributed data, enabling higher performance while maintaining client data pri…