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Tensorflow-From-Graph-to-Eager-mode-
Tensorflow-From-Graph-to-Eager-mode- PublicContent for Tensorflow Eager Execution workshop
Jupyter Notebook 1
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Collaboration_Competition_DDPG
Collaboration_Competition_DDPG PublicConsidered the third project in the Deep Reinforcement Learning Nanodegree Program, the goal is to train two agents to play Tennis using DDPG algorithm.
ASP 1
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Multi_Agent_Deep_Reinforcement_Learning
Multi_Agent_Deep_Reinforcement_Learning PublicForked from CanePunma/Multi_Agent_Deep_Reinforcement_Learning
Implement Google Deep Minds DQN for multiple agents for a grid world environment where vehicles must pick up customers.
Jupyter Notebook 1
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rl-generalization-paper
rl-generalization-paper PublicForked from kaixin96/rl-generalization-paper
A list of papers regarding generalization in (deep) reinforcement learning
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NavigationVanillaDQN
NavigationVanillaDQN PublicThis project is the first project in the Deep Reinforcement Learning Nanodegree Program
Python 1
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ContinuousControlDDPG
ContinuousControlDDPG PublicThis is the second project in the Udacity Deep Reinforcement Learning Nanodegree. It involves controlling a double-jointed arm, to reach target locations using DDPG.
ASP 1
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