Research Project on Multi-robot Target Tracking via Deep Reinforcement Learning
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Added functionality of measuring time for each step, modified files in code/ folder
9dfdcdfView on GitHubFinished with using cnn(fixed weights) for training actor-critic model for sensors=2 and targets=2 case, modified files in code/ folder
e16bc1fView on GitHubFinished with using cnn(fixed weights) for training actor-critic model for sensors=2 and targets=2 case, modified files in code/ folder
3bbb61eView on GitHubFinished with using cnn(fixed weights) for training actor-critic model for sensors=2 and targets=2 case, modified files in code/ folder
4774f69View on GitHubFinished with using cnn(fixed weights) for training actor-critic model for sensors=2 and targets=2 case, modified files in code/ folder
902ab9bView on GitHubFinished with using pretrained cnn(fixed weights) for training actor-critic model, modified files in code/ folder
83d47ebView on GitHubUsing resnet18 pretrained model for training actor-critic model, updated files in code/ folder
c15841aView on GitHubIntegrated CNN-based approach for sensors=2 and targets=4 case, modified files in code/ folder
ea637f0View on GitHubAdded convnet support, modified files in code/ folder
8a188d1View on GitHubUpdated true motion model of the target to a straight line, modified files in code folder
bebbb4aView on GitHubUpdated true motion model of the target to a straight line, modified files in code/ folder
f702a33View on GitHubUpdated true motion model of target to straight line, modified files in code/ folder
20a4562View on GitHub