@LiorOnAI: Agent performance now depends on reinforcement learning in dynamic environments with realistic state transitions, feedb…
Summary
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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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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