Deep Reinforement Learning is an active area of research, it is being utilized in many areas of application. Our project focuses on utilizing Deep Reinforemcent Learning techniques to learning optimal video game strategies.
RoboViz Game Playing Bot via Deep Reinforcement Learning
Deep Reinforement Learning is an active area of research, it is being utilized in many areas of application. Our project focuses on utilizing Deep Reinforemcent Learning techniques to learning optimal video game strategies.
The main objective is to apply a single Deep Reinforcement Learning algorithm capable of learning human expert level game play just by playing a game repetitively.
We are using Python, Tensorflow, and OpenAI gym with our custom designed games.
The main benefit we achieved is that in a simulation environemnt we can practice and repeat a task a million times and learn the best strategy required for optimal execution. This can be utilized in any other application aswell.
Final deliverble is a software that given a compatible game it can learn to play at human level.
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| RTX 2060 6gb | Equipment | 1 | 70000 | 70000 |
| Power Supply | Miscellaneous | 1 | 10000 | 10000 |
| Total in (Rs) | 80000 |
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