Reinforcement Learning, Pytorch, Genetic Algorithm, Multiprocessing, Evolutionary Algorithms.
pygad.torchga.model_weights_as_dict(model=model, weights_vector=solution) model.load_state_dict(model_weights_dict) # play game observation = env.reset() sum_reward = 0 done = False while (not done) and (sum_reward < 1000): # env.render() ob_tensor = torch.tensor(observation.copy(),