Role in this project:
ML Engineer Contributions:21 commits, 10 PRs, 29 pushes in 21 days
Contributions summary:Raymond's commits focused on developing an A3C (Asynchronous Advantage Actor-Critic) reinforcement learning agent for the Cartpole environment within the TensorFlow models repository. The contributions involved implementing the ActorCriticModel using Keras, and creating a training loop, and also setting up a random agent to run. The user also updated the loss function, and added entropy regularization.