GitHub / sudharsan13296 / Hands-On-Reinforcement-Learning-With-Python
Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow
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Language: Jupyter Notebook
Size: 41.9 MB
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Created at: almost 7 years ago
Updated at: 18 days ago
Pushed at: over 4 years ago
Last synced at: 17 days ago
Topics: asynchronous-advantage-actor-critic, deep-deterministic-policy-gradient, deep-learning-algorithms, deep-q-network, deep-recurrent-q-network, deep-reinforcement-learning, double-dqn, drqn, dueling-dqn, hindsight-experience-replay, markov-decision-processes, monte-carlo, openai-gym, policy-gradient, policy-gradients, ppo, q-learning, reinforcement-learning, sarsa, trpo