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Emmauel
@vinhtuong
Research & Applications - A 40 Page Research Overview of LLM-based Agents Exploring the emerging landscape of autonomous agents, specifically LLM-based agents, and their impact across diverse domains such as gaming, governance, crypto, robotics, and more.
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Lam-May
@lammay
RL agents can autonomously improve performance in dynamic environments without human oversight, making them valuable for applications in gaming, robotics, and autonomous systems. However, RL faces challenges such as lengthy training periods, sample inefficiency, and stability issues, particularly in more complex scenarios.
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