Esraa Elelimy

Deep Reinforcement Learning with Gradient Eligibility Traces

2025 · arXiv (Cornell University)

Achieving fast and stable off-policy learning in deep reinforcement learning (RL) is challenging. Most existing methods rely on semi-gradient temporal-difference (TD) methods for their simplicity and efficiency, but are consequently susceptible to divergence. While more …