AgentEnv by @scale_AI is an open source framework for building high-fidelity RL environments.
Modal Sandboxes let you deploy these environments in seconds, at the scale RL rollouts need.
Scale AI has released AgentEnv, an open source framework for building high-fidelity reinforcement learning environments. Modal says its Sandboxes can deploy these environments in seconds at the scale RL rollouts require.
AgentEnv by @scale_AI is an open source framework for building high-fidelity RL environments.
Modal Sandboxes let you deploy these environments in seconds, at the scale RL rollouts need.
Building RL environments that are realistic, accurate, and scalable all at once is hard. That’s what we built AgentEnv for: dynamic, composable, reproducible environments that work across agents, sandboxes, and clouds — with environment and agent triggers, a virtual clock to control time, RBAC for agents, and more. Start building today: http://agentenvframework.comView quoted post on X
Source: Modal · x.comPublished · added here