Browsing Tag
Reinforcement Learning
Google AI Implements Reinforcement Learning for Chip Design Optimization
Researchers at Google AI have devised a new method of optimizing chips designs for future machine learning requirements and use cases. The method implements reinforcement learning to remodel chip placement for any application specific integrated circuit, to reduce power, performance…
Uber Introduces Fiber as an Open Source Distributed Computing Tool
Uber’s new distributed computing library Fiber renders the obsoletion of isolated computing systems for high performance applications even more so. It is a means to implement a cluster of computation resources running in parallel for applications such as machine and…
Google AI Delivers a Computationally Efficient Reinforcement Learning Agent
Reinforcement learning neural networks are generally time consuming, involve high-costs, and deliver limited rates of training or ‘learning’. Researchers at Google AI have overcome this by centralizing inference on accelerators like GPUs and TPUs to train on millions of frames…
Google AI and DeepMind Release Reinforcement Learning Agent Dreamer
Research carried out under Google AI and DeepMind’s collaboration for model-based reinforcement learning (RL) has resulted in the development and release of the source code of Dreamer, an RL agent that uses behavior learning for action predictions. Apt to its…
