Might as well do it right, but then, who was going to notice at that place and at that time? Que linda me la traiga Cuba? Que linda, que me la atraiga Cuba-maybe. AnonymousThis has always been my favorite song.It would be "ir" instead of vaya in this context. I think "que no puedo vaya" is him trying to say "that I can't go" but he used the wrong "to go" verb conjugation. Also "y que triste" (and how sad) as opposed to "why triste".
and "quiero sol" (I want sun) as opposed to "cielo sol". Anonymous from MidwestI hear: no me devuelvo a Cuba (I won't return to Cuba).Y que triste que no puedo vaya oh va, oh vaĪnd how sad that I can not go oh go, oh goes Chuck Rodgers from Pittsburgh, Pa 15209Que linda me la traiga Cuba.Lyrics licensed and provided by LyricFind Lacy, lilting, lady, losing love, lamentingĭoo doo doo doo doo, doo doo doo doo doo dooĪt the end of the Suite, Stephen Stills sings the following Spanish lines: Voices of the angels ring around the moonlight It's my heart that's a sufferin', it's a dyin' Tuesday mornin', please be gone I'm tired of you.Ĭan I tell it like it is? Help me I'm sufferin' I am yours, you are mine, you are what you are Are you still listening?įear is the lock, and laughter the key to your heart Its GitHub repository has got 440 stars but has not seen much activity in the last couple of years and even its documentation could have been more elaborate.Remember what we've said and done and feltĭon't let the past remind us of what we are not now It also comes with support for OpenAI Gym, Deepmind Control Suite, and its own Surreal Robotics Suite environments.
Surreal currently supports DDPG ad PPO RL algorithms. It can be operated in two modes local mode and Kubernetes mode on Google cloud. Using Surreal the processing can take be scaled to thousands of CPUs and hundreds of GPUs with ease. Even the simpler RL tasks like Atar games may take take a good amount of processing time to learn. Surreal is a framework by Standford Vision and Learning Lab which enables distributed reinforcement learning. Its GitHub repository has 1.1K stars with active development and its documentation is also quite good. Garage also has support for Tensorboard to help you visualize the training logs of the agent. It provides inbuilt support for RL environments such as OpenAI Gym, DeepMind, Metaworld, PyBullet. These algorithms are mostly implemented in Tensorflow and PyTorch Some of the algorithms include DQN, REINFORCE, SAC, TD3, DDPG, BG, CEM, ERWR, MAML, etc. Garage is a reinforcement learning toolkit that lets you build your own reinforcement learning algorithms and also comes with implementations of state-of-art implementations of RL algorithms.
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