Environment-related differences of Deep Q-Learning and Deep Double Q-Learning
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Updated
Dec 15, 2018 - Python
Environment-related differences of Deep Q-Learning and Deep Double Q-Learning
Implement several deep reinforcement learning algorithms on one of games in Atari 2600 - Space Invaders.
SARSA, Q-Learning, Expected SARSA, SARSA(λ) and Double Q-learning Implementation and Analysis
With underflow, create trafic light clusters that interact together to regulate circulation
A Reinforcement Learning agent to perform overtaking action using Double DQN based CNNs which takes images as input built using TensorFlow.
Reinforcement Learning experiments, comparing performance of Q-learning and Double Q-learning algorithms.
Python script to balance Pendulum from open ai gym using Q-Learning and Double Q-Learning
A very detailed project of Chrome Dinosaur in Deep RL for beginners
Solver of the game “Coin Flip Cheaters” which can be found on https://primerlearning.org/. This is not a bot, in order to use it in the real game you would need to do it manually.
Reversi game with multiple reinforcement learning algorithms.
Implementations of various RL and Deep RL algorithms in TensorFlow, PyTorch and Keras.
Path Planning with Reinforcement Learning algorithms in an unknown environment
Reinforcement Learning: Modification of Q-learning through the use DynaQ learning and Double-Q learning.
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