MachineHack welcomes all Data Science and Machine Learning enthusiasts to another exciting weekend hackathon. This weekend, machinehackers must use their data science skills to predict
MachineHack successfully concluded its eleventh installment of the weekend hackathon series last Monday. The Power Plant Energy Output Prediction hackathon provided the contestants with an
Weekend Hackathons are becoming more competitive, so we are back with a tougher one this time. In this weekend hackathon, we are providing an open
Weekend hackathons are fun, aren’t they! In our last weekend hackathon, we introduced a new and unique problem statement using UCI open dataset. But, we
Another weekend and another exciting hackathon, and this time with an open dataset. Yes, you heard it right ! In this weekend hackathon, we are
Q-Learning is a traditional model-free approach to train Reinforcement Learning agents. It is also viewed as a method of asynchronous dynamic programming. It was introduced
enAI Gym is a well known RL community for developing and comparing Reinforcement Learning agents. OpenAI Gym doesn’t make assumptions about the structure of the agent and works out well with any numerical computation library such as TensorFlow, PyTorch.
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),
In the last two articles, the focus has been to measure the generalization performance of Reinforcement learning agents using Gym Retro and Procgen environments. Both
In Reinforcement learning, the generalization of the agents is benchmarked on the environments they have been trained on. In a supervised learning setting, this would
Reinforcement learning is continuously being made easy by OpenAI. On their, mission to develop and promote friendly AI that helps humanity, OpenAI released Stable-Baselines. It
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
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