Tags » Reinforcement Learning

Apprenticeship learning using Inverse Reinforcement Learning

@tachyeonz : Reinforcement learning (RL) is is the very basic and most intuitive form of trial and error learning, it is the way by which most of the living organisms with some form of thinking capabilities learn. 26 more words

#IndustrialIoT

#2 : Intro to Machine Learning

Machine learning is a part of artificial intelligence that provides computers with the ability to learn without being explicitly programmed. Machine learning focuses on the development of computer programs that can teach themselves to grow and change when exposed to new data. 366 more words

Artificial Intelligence

Artificial Intelligence through Reinforcement learning: A top-down approach

It’s less than a decade when technology has started to replace human muscle to drive a rapid economic progress, and we are fortunate enough to see an era when human brain will soon be replaced by what we call “Artificial Intelligence”. 1,811 more words

Artificial Intelligence

Exhaustive search, Monte Carlo, DP, and TD

If we know the full picture and have enough computational power, we can optimize policy by calculating outcome of all possible scenarios (Exhaustive search). Or, we can peek one step ahead for the full horizon (Dynamic Programming). 36 more words

Reinforcement Learning

Dynamic Programming

DP is optimization method (for policy) for sequential problems. It works well in a situation where the problem can be broken down to subproblems (optimal substructure) that recur repeatedly (overlapping subproblems) and the solutions for subproblems can be cached to be reused (as in value functions) and put together to solve the original problem. 41 more words

Reinforcement Learning