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most citedOverestimation, Overfitting, and Plasticity in Actor-Critic: the Bitter Lesson of Reinforcement Learning

3 citations · 4 across the 9 of their papers we have counts for

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cs.LG2023

On the Theory of Risk-Aware Agents: Bridging Actor-Critic and Economics

Michal Nauman, Marek Cygan

Risk-aware Reinforcement Learning (RL) algorithms like SAC and TD3 were shown empirically to outperform their risk-neutral counterparts in a variety of continuous-action tasks. How…