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qfettes / DeepRL-Tutorials

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Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

reinforcement-learning gae deep-reinforcement-learning rainbow python3 pytorch deep-q-network actor-critic double-dqn quantile-regression dueling-dqn categorical-dqn ppo advantage-actor-critic a2c deep-recurrent-q-network prioritized-experience-replay multi-step-learning noisy-networks deeprl-tutorials
  • Updated Feb 21, 2020
  • Jupyter Notebook

wradlib / wradlib

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Modification of the header parser in io.read_dx

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GolGosh
GolGosh commented Sep 18, 2020

Hi dear community,

I am working with dx radar product from DWD (the German Weather Service) and the new batch of dx files that they provided to me for a new radar location are causing the following error in the first step if my processing in the wrl.io.read_dx(dx) function:

 "ValueError: could not convert string to float: 'X01'"

Could anyone tell me if this is a problem from the files

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TheMTank / cups-rl

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Customisable Unified Physical Simulations (CUPS) for Reinforcement Learning. Experiments run on the ai2thor environment (http://ai2thor.allenai.org/) e.g. using A3C, RainbowDQN and A3C_GA (Gated Attention multi-modal fusion) for Task-Oriented Language Grounding (tasks specified by natural language instructions) e.g. "Pick up the Cup or else"

agent wrapper natural-language-processing reinforcement-learning robotics simulation cup rainbow pytorch a3c transfer-learning cups multi-task-learning model-based model-free simulated-environments natural-language-instructions ai2thor-environment openai-gym-interface
  • Updated Mar 9, 2020
  • Python

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