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GitHub / roaked / snake-evolutionary-reinforcement-learning
parameter optimization of a reinforcement learning deep Q network with memory replay buffer using genetic algorithm in the snake game. base code for snake env from codecamp
Stars: 1
Forks: 2
Open Issues: 0
License: mit
Language: Python
Repo Size: 26.6 MB
Dependencies:
0
Created: 6 months ago
Updated: 4 months ago
Last pushed: 3 months ago
Last synced: 3 months ago
Topics: deep-neural-networks, deep-reinforcement-learning, epsilon-greedy, evolutionary-algorithm, evolutionary-strategy, fitness-function, genetic-algorithm, memory-replay, neuroevolution, optimistic-exploration, optimization, reinforcement-learning, snake-ai, snake-game, stochastic-optimization
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