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GitHub / sudharsan13296 / Hands-On-Reinforcement-Learning-With-Python
Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow
Stars: 821
Forks: 325
Open Issues: 2
License: None
Language: Jupyter Notebook
Repo Size: 41.9 MB
Dependencies:
0
Created: almost 6 years ago
Updated: 20 days ago
Last pushed: over 3 years ago
Last synced: 20 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
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