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…