Combining Deep and Reinforcement learning
Machine learning fundamentally involves learning from the data and making conclusions/decisions about a given problem. It utilizes the following popular approaches.
How reinforcement learning can help in solving real-world problems?
Reinforcement Learning is a machine learning framework that enables an agent to evaluate the current environment, take optimal action, and get feedback...
Harnessing curiosity in Reinforcement Learning
Reinforcement learning is a specialized area of artificial intelligence where an algorithm applies independent and goal-oriented learning, based on rewards received from...
14 Great Articles To Read About TensorFlow
First Steps with TensorFlow: ToolkitGoogle + open-source = TensorFlow 9 Things You Should Know About TensorFlowDeep Learning with TensorFlow in Python TensorFlow Tutorial For...
Artificial Intelligence – A Bitter-Sweet Symphony in Modelling
We have seen tremendous progress by artificial intelligence (AI) over the past decades. This progress, however, was not achieved steadily. There were...
Computer Machine Learning Techniques Aid Citizen Science Projects in Data Processing
Computer-based machine learning is becoming a significant part of citizen science projects. If we compared the situation ten years ago, the data...
Will Machine Learning Enable Time Travel?
Traveling in time has always been a dream of mankind. Imagine being able to experience ancient Rome first hand or to...
List Of Free Reinforcement Learning Courses/Resources Online
Reinforcement Learning Offered at Georgia Tech as CS 8803Practical Reinforcement LearningReinforcement Learning ExplainedReinforcement Learning in FinanceIntroduction to reinforcement learningDeep Reinforcement Learning CS 294-112...
