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vmayoral / basic_reinforcement_learning

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Tutorial 1: code issues

wmeitzen
wmeitzen commented Feb 26, 2020

I'm getting lots of errors when I try to run the code for tutorial 1. Kindly advise.

Screen dump:
(base) administrator@ubuntu:/basic_reinforcement_learning/tutorial1$ python3 egoMouseLook.py
File "egoMouseLook.py", line 162
print len(mouse.ai.q) # print the amount of state/action, reward
^
SyntaxError: invalid syntax
(base) administrator@ubuntu:/basic_reinforcement_l

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sudharsan13296 / Hands-On-Reinforcement-Learning-With-Python

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Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

reinforcement-learning monte-carlo deep-reinforcement-learning openai-gym q-learning deep-learning-algorithms policy-gradient sarsa deep-q-network markov-decision-processes asynchronous-advantage-actor-critic double-dqn trpo dueling-dqn deep-deterministic-policy-gradient ppo deep-recurrent-q-network drqn hindsight-experience-replay policy-gradients
  • Updated Apr 17, 2020
  • Jupyter Notebook

omerbsezer / Reinforcement_learning_tutorial_with_demo

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Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..

machine-learning tutorial reinforcement-learning deep-reinforcement-learning q-learning pomdps policy-gradient sarsa a3c dynamic-programming imitation-learning dyna td-learning actor-critic meta-learning
  • Updated Jan 22, 2019
  • Jupyter Notebook

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

chimera0 / accel-brain-code

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The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) that I have written in my website. Especially, Natural Language Processing, Statistical Machine Learning, and Deep Reinforcement Learning are main topics.

reinforcement-learning deep-learning deep-reinforcement-learning q-learning lstm restricted-boltzmann-machine convolutional-autoencoder transfer-learning simulated-annealing deep-q-network automatic-summarization deconvolution combinatorial-optimization quantum-monte-carlo encoder-decoder auto-encoder quantum-annealing multi-agent-reinforcement-learning spatio-temporal-auto-encoder
  • Updated Apr 6, 2020
  • Python

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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