arXiv:2105.13231
공식 코드 · Papers with Code
AndroidEnv: A Reinforcement Learning Platform for Android
원문 초록
We introduce AndroidEnv, an open-source platform for Reinforcement Learning (RL) research built on top of the Android ecosystem. AndroidEnv allows RL agents to interact with a wide variety of apps and services commonly used by humans through a universal touchscreen interface. Since agents train on a realistic simulation of an Android device, they have the potential to be deployed on real devices. In this report, we give an overview of the environment, highlighting the significant features it provides for research, and we present an empirical evaluation of some popular reinforcement learning agents on a set of tasks built on this platform.
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High-Throughput Distributed Reinforcement Learning via Adaptive Policy Synchronization
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Partially Observable Residual Reinforcement Learning for PV-Inverter-Based Voltage Control in Distribution Grids
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