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As of Oct 8, MirroS released AgentGarten: executable code environments supply physics and state while a learned renderer streams first-person frames above 30 fps so agents can act, observe and revise written playbooks between rounds.
- Oct 8Official
MirroS launches AgentGarten, pairing code worlds with a real-time neural renderer for agent practice
MirroS released AgentGarten: executable code environments supply physics and state while a learned renderer streams first-person frames above 30 fps so agents can act, observe and revise written playbooks between rounds. In a hide-and-seek revisit, hiders built panel shelters by round 4 and seekers used ramps by round 10—behaviors that took tens of millions of self-play RL episodes in OpenAI's 2019 study—then the same loop improved companion-dog, one-lane bridge, herding and quarry-loader tasks over four rounds. Blog, report and code are public.
Source: MirroS
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