@LiorOnAI: Agent performance now depends on reinforcement learning in dynamic environments with realistic state transitions, feedb…
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This tweet from Lior discusses agent performance in reinforcement learning with dynamic environments, while highlighting PatronusAI's $50M Series B funding led by GreenfieldVC for developing AI simulations and evaluations.
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Cached at: 06/25/26, 07:24 PM
Agent performance now depends on reinforcement learning in dynamic environments with realistic state transitions, feedback loops, and long-horizon objectives.
Anand Kannappan (@anandnk24): Today, we’re excited to announce our $50M Series B, led by @GreenfieldVC (formerly TPG Capital), with participation from @lightspeed and @notablecap. 🚀
At @PatronusAI, we develop simulations and evals to train and improve AI. The first phase of AI was built on static
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