A comparative framework for analyzing reinforcement learning algorithms in a custom Hill Climb Racing environment. It implements PPO, DQN, and Expected SARSA, supporting neural network, linear and ...
Gradient-Free-Optimizers is a Python library for gradient-free optimization of black-box functions. It provides a unified interface to 23 optimization algorithms, from simple hill climbing to Bayesian ...
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