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most citedRisk-Sensitive Soft Actor-Critic for Robust Deep Reinforcement Learning under Distribution Shifts

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cs.LG2026

Target-Aligned Reinforcement Learning

Leonard S. Pleiss, James Harrison, Maximilian Schiffer

Many value-based deep reinforcement learning algorithms rely on target networks - lagged copies of the online network - to stabilize training. While effective, this mechanism intro…

cs.LG2024★ 1 cited

Risk-Sensitive Soft Actor-Critic for Robust Deep Reinforcement Learning under Distribution Shifts

Tobias Enders, James Harrison, Maximilian Schiffer

We study the robustness of deep reinforcement learning algorithms against distribution shifts within contextual multi-stage stochastic combinatorial optimization problems from the…