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.
2025-06-28 16:34:51 - Adil Khan
RoboViz Game Playing Bot via Deep Reinforcement Learning
Project Area of Specialization Artificial IntelligenceProject SummaryDeep 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.
Project ObjectivesThe 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.
Project Implementation MethodWe are using Python, Tensorflow, and OpenAI gym with our custom designed games.
Benefits of the ProjectThe 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.
Technical Details of Final DeliverableFinal deliverble is a software that given a compatible game it can learn to play at human level.
Final Deliverable of the Project Software SystemType of Industry IT Technologies Artificial Intelligence(AI)Sustainable Development Goals Industry, Innovation and InfrastructureRequired Resources| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Total in (Rs) | 80000 | |||
| RTX 2060 6gb | Equipment | 1 | 70000 | 70000 |
| Power Supply | Miscellaneous | 1 | 10000 | 10000 |