Archives for open ai gym reinforcement learning
The gym is an open-source toolkit for developing and comparing reinforcement learning algorithms. What makes it easier to work with is that it makes it easier to structure your environment using only a few lines of code and compatible with any numerical computation library, such as TensorFlow or Theano.
The post Exploring Panda Gym: A Multi-Goal Reinforcement Learning Environment appeared first on Analytics India Magazine.
The gym is an open-source toolkit for developing and comparing reinforcement learning algorithms. What makes it easier to work with is that it makes it easier to structure your environment using only a few lines of code and compatible with any numerical computation library, such as TensorFlow or Theano.
The post Exploring Panda Gym: A Multi-Goal Reinforcement Learning Environment appeared first on Analytics India Magazine.
“What makes a game interesting enough for an AI agent to learn to play?” For many years, efforts have been made to teach artificial intelligence to beat humans at almost every game that involves strategy. Games have been the testbed for the development of learning algorithms and the measurement of progress in artificial intelligence. Even…
The post DeepMind Develops A New Toolkit For AI To Generate Games appeared first on Analytics India Magazine.
Various Benchmarks have played an important role in various domains of machine learning such as MNIST (LeCun et al., 1998), Caltech101 (Fei-Fei et al., 2006), CIFAR (Krizhevsky & Hinton, 2009), ImageNet (Deng et al., 2009). However, there is a lack of standardized testbed for Reinforcement Learning algorithms. Various benchmarks released by OpenAI such as Procgen,…
The post A Hands-On Guide on Training RL Agents on Classic Control Theory Problems appeared first on Analytics India Magazine.
The goal of any Reinforcement learning agent is to maximize the cumulative rewards based on the goals for the provided environment. The learner is not told which actions to take but must discover which actions yield the most rewards by trying them. To develop such an agent, it is obligatory to allow the agents to…
The post Hands-on Guide To Creating RL Agents Using OpenAI Gym Retro appeared first on Analytics India Magazine.
Human societies are extremely complex. The cultural, racial and geographical differences around the globe and the lack of curated data make ‘fairness’ in technology a huge challenge. Now, in an attempt to track the long term societal impacts of artificial intelligence, Google researchers recently released a machine learning fairness gym. They have done this by…
The post Google’s New ML Fairness Gym Has A Clear Mission — Track Down Bias & Promote Fairness In AI appeared first on Analytics India Magazine.