AI RESEARCH
Adaptive TD-Lambda for Cooperative Multi-agent Reinforcement Learning
arXiv CS.LG
•
ArXi:2605.11880v1 Announce Type: new TD($\lambda$) in value-based MARL algorithms or the Temporal Difference critic learning in Actor-Critic-based (AC-based) algorithms synergistically integrate elements from Monte-Carlo simulation and Q function bootstrapping via dynamic programming, which effectively addresses the inherent bias-variance trade-off in value estimation. Based on that, some recent works link the adaptive $\lambda$ value to the policy distribution in the single-agent reinforcement learning area.