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这篇论文研究生成模型在何种条件下可以充当可编辑的模拟器,提出通过探测器解码与逆映射两种方式将模型隐状态映射到模拟器状态,并在Othello与自建的连续世界Rayworld中发现映射成功与否强烈依赖环境,即使状态始终可解码。
AgentGarten is a framework that couples simulators and game engines with a shared neural renderer to build real-time interactive environments where agents learn from visual observations and distill experience into inherited playbooks, achieving major learning efficiency gains over conventional RL with just 4 rounds of experience.
SyncWorld is an action-conditioned world model that uses visual calibration episodes to learn environment-specific action-to-visual mappings, enabling zero-shot simulation and test-time policy improvement across unseen robotic settings.
This position paper argues that RL researchers need to distinguish between solving simulators and using simulators as a proxy for real deployment, highlighting issues that arise when this distinction is not made.
Formula 1 teams invest millions in driver-in-the-loop simulators with ultra-low latency and high fidelity to replicate real car behavior, enabling drivers to train and develop setups.