According to @berkeley_ai, recent studies on reinforcement learning (RL) highlight challenges in generalizing to long-horizon behaviors, crucial for developing trading algorithms that can adapt to reaching distant financial goals. This research underscores the importance of improving RL agents' ability to generalize, which is critical for creating robust trading strategies capable of handling unforeseen market conditions and achieving long-term profitability.