Mnih, Volodymyr, et al. "Human-level control through deep reinforcement learning." Nature 518.7540 (2015): 529-533. Experiments by: Ashish Budhiraja Course:

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Mnih, Volodymyr, et al. "Human-level control through deep reinforcement learning." Nature 518.7540 (2015): 529-533. Experiments by: Ashish Budhiraja Course: Advanced Computer Vision Instructor: Jia-Bin Huang

Qlearning

Videos at different Learning Rate (Breakout) 77 epochs 200 epochs

Videos at different Learning Rate (Pong) 141 epochs 200 epochs

Videos at different Learning Rate (Seaquest) 178 epochs 200 epochs

Feature Visualization file:///home/ashishkb/RL_ACV/neon/simple_dqn/results/breakout.html

Breakout Graphs

Space Invaders Graphs

Credits: Prof. FRED G. MARTIN http://www.cs.uml.edu/ecg/index.php/AIfall16/PS3b Mnih, Volodymyr, et al. "Human-level control through deep reinforcement learning." Nature 518.7540 (2015): 529-533. https://github.com/devsisters/DQN-tensorflow https://github.com/tambetm/simple_dqn