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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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fix lint errors/warnings - use black/isort/flake8

kmuehlbauer
kmuehlbauer commented Mar 27, 2019

In the past we did not stick in any case to PEP8 regulations and other suggestions. To fix this breaking changes are needed at some places.

We should improve linting whenever we touch a submodule and add ToDos at those places where breaking changes are about to happen. If everything is worked out we can move to release 2.0 of wradlib (2020/21 ?).

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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

SitecoreUnicorn / Rainbow

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Rainbow doesn't warn me when critical path length settings are different than expected

cassidydotdk
cassidydotdk commented Nov 11, 2018

Do you want to request a feature or report a bug?
A quality of life improvement

What is the current behavior?
Today, it is possible for users (developers, usually) to change the Rainbow.config settings for SerializationFolderPathMaxLength and MaxItemNameLengthBeforeTruncation (presumably to accommodate for a long local root path) and forgetting that this setting needs to be _the s

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enhancement

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