Stock-Prediction-using-Deep-Reinforcement-Learning

Using Deep Learning and Reinforcement Learning to estimate stock price trends

Check requirements.txt file to setup the environment.

We use Temporal Difference (TD) algorithm estimate the state value of one timestep. Using Deep Neural Networks, we estimate V_t+1(s) used in TD update step.

To run the code, execute

python Game.py -a <alpha> -e <episodes> -g <gamma>

Link to the paper Implemented Stock Price Prediction using Reinforcement Learning