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SforAiDl / genrl

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More comprehensive unit testing

sampreet-arthi
sampreet-arthi commented Oct 10, 2020

There seem to be some vulnerabilities in our code that might fail easily. I suggest adding more unit tests for the following:

  • Custom agents (there's only VPG and PPO on CartPole-v0 as of now. We should preferably add more to cover discrete-offpolicy, continuous-offpolicy and continuous-onpolicy)
  • Evaluation for the Bandits and Classical agents
  • Testing of convergence of agents as proposed i
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CI/CD enhancement good first issue
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MishaLaskin / curl

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CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning

deep-neural-networks reinforcement-learning deep-learning curl gpu deep-reinforcement-learning deep-learning-algorithms reinforcement-learning-algorithms deeplearning deep-q-network sac deep-q-learning reinforcement-agents deep-rl deeplearning-ai contrastive-loss off-policy contrastive-predictive-coding model-free-rl contrastive-learning
  • Updated Aug 25, 2020
  • Python

Madhu009 / Deep-math-machine-learning.ai

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A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.

machine-learning natural-language-processing deep-neural-networks tensorflow word2vec linear-regression q-learning neural-networks reinforcement-learning-algorithms sarsa logistic-regression gans support-vector-machines policy-iteration value-iteration gradient-descent-algorithm monte-carlo-methods temporal-differencing-learning general-adversarial-network
  • Updated Mar 15, 2019
  • Jupyter Notebook

Nasdin / ReinforcementLearning-AtariGame

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Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advantage Actor-Critic (A3C) Algorithm. This is much superior and efficient than DQN and obsoletes it. Can play on many games

python reinforcement-learning deep-reinforcement-learning openai-gym pytorch lstm reinforcement-learning-algorithms a3c universe adam rmsprop actor-critic asynchronous-advantage-actor-critic reinforcement-agents a3c-lstm
  • Updated Feb 27, 2019
  • Jupyter Notebook

sichkar-valentyn / Reinforcement_Learning_in_Python

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Implementing Reinforcement Learning, namely Q-learning and Sarsa algorithms, for global path planning of mobile robot in unknown environment with obstacles. Comparison analysis of Q-learning and Sarsa

reinforcement-learning q-learning path-planning rl-agents reinforcement-learning-algorithms sarsa maze-algorithms obstacle-avoidance maze-solver shortest-path rl-playground sarsa-learning sarsa-search rl-emulator rl-environment rl-algorithms rl-experiments rl-qlearning q-learning-vs-sarsa rl-sarsa
  • Updated Jul 19, 2019
  • Python

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