AndroidEnv has a universal touchscreen interface that enables the empirical evaluation of general purpose RL algorithms.
Alphabet Inc.’s DeepMind has recently introduced AndroidEnv, an open-source platform for Reinforcement Learning (RL) built on top of the Android ecosystem. According to the team, AndroidEnv facilitates RL agents to interact with a wide variety of apps and services commonly used by humans on a widely used touchscreen interface.
DeepMind Found New Approach To Create Faster RL Models. DeepMind and McGill University proposed new approaches to speed up the solution of complex reinforcement learning problems.
DeepMind collaborated with Columbia University to propose Taylor expansion Policy Optimisation (TayPO), a policy optimisation formalism.
Recently, DeepMind open-sourced the dm_control software package, which is a collection of Python libraries and task suites for RL agents
OpenAI’s GPT-3 is the talk of the town, and the media is giving it all the attention. Many analysts are even comparing it to AGI because of its practical applicability. Initially disclosed in a research paper in May, GPT-3 is the next version of GPT-2 and is 100x larger than it. It is far more…
DeepMind may allude to two things: the innovation behind Google’s man-made reasoning (AI) venture, and the organization that is liable for it.