Alternatives and similar repositories for Super-Meta-MarIO:

Users that are interested in Super-Meta-MarIO are comparing it to the libraries listed below

• declanoller / neat
  Playing OpenAI games with Neuroevolution
  ☆11Updated 5 years ago
• suckgeun / NEAT
  Implementation of NeuroEvolution of Augmenting Topologies (NEAT)
  ☆9Updated 7 years ago
• kennedyCzar / ALGORITHM-TRADING-AND-STOCK-PREDICTION-USING-MACHINE-LEARNING
  ALGORITHM TRADING AND STOCK PREDICTION USING MACHINE LEARNING
  ☆15Updated 6 years ago
• Ohjeah / cartesian
  a lightweight implementation of Cartesian genetic programming with symbolic regression in mind.
  ☆23Updated 5 years ago
• Quiota / tensorflow
  ☆10Updated 7 years ago
• JorgeCeja / evolution-strategies
  🦾Distributed Natural Evolution Strategies Build with PyTorch and Ray
  ☆17Updated 6 years ago
• jjakimoto / PPO-Pytorch
  Deep RL for portfolio management
  ☆12Updated 6 years ago
• kayuksel / combinatorial-bandit
  A method to search for a subset of best performing items wrt black-box reward function
  ☆12Updated 5 years ago
• jmberutich / GeneticProgrammingTradingExperiments
  Code from the paper "Robust technical trading strategies using GP for algorithmic portfolio selection"
  ☆10Updated 5 years ago
• palmbook / cartpole
  OpenAI's cartpole env solver.
  ☆18Updated 6 years ago
• Riashat / Bayesian-Exploration-Deep-RL
  Bayesian Uncertainty Exploration in Deep Reinforcement Learning
  ☆18Updated 7 years ago
• drewstone / gym-trading
  Reinforcement learning environment for trading
  ☆15Updated 7 years ago
• schrum2 / MM-NEAT
  Modular Multiobjective (Hyper) Neuro-Evolution of Augmenting Topologies + MAP-Elites: Java code for evolving intelligent agents in Ms. Pa…
  ☆50Updated last month
• GrantStenger / rl-finance
  CAIS++ Spring 2019 Project: Building an Agent to Trade with Reinforcement Learning
  ☆40Updated 4 years ago
• cgarib / ML_Nanodegree_DeepQTrader
  Capstone Project for the Machine Learning Nanodegree. Used Deep Q Learning to create an agent that trade stocks.
  ☆15Updated 8 years ago
• freddiev4 / financial-ts-prediction-with-deeplearning
  (Work In Progress) Implementation of "Financial Time Series Prediction Using Deep Learning"
  ☆15Updated 7 years ago
• jpbonson / SBBFramework
  Python implementation of the SBB genetic programming algorithm for reinforcement learning and classification tasks.
  ☆25Updated 4 years ago
• PVoodoo / RLDQTrading
  An example and description to Reinforcement Learning DQN model and dataformats for trading
  ☆16Updated 5 years ago
• firmai / DeepLearningForTimeSeriesForecasting
  A tutorial demonstrating how to implement deep learning models for time series forecasting
  ☆12Updated 5 years ago
• awilliea / Risk-based_RL_for_Optimal_Trading_Execution
  ☆19Updated 4 years ago
• clisztian / MDFA-Toolkit
  A JAVA package for real-time signal extraction in large multivariate time series
  ☆13Updated 11 months ago
• evijit / Finance_Graph_Theory
  Modelling Connectedness of Firms in Financial Markets with Heterogeneous Agents
  ☆22Updated 5 years ago
• amunategui / CVAE-Financial-Anomaly-Detection
  ☆24Updated 6 years ago
• mzaradzki / hft-statistical-learning
  Machine Learning examples adapted from Hastie, Tibshirani, and Friedman book
  ☆9Updated 7 years ago
• iankurgarg / Reinforcement-Learning-Feature-Selection
  Feature selection for maximizing expected cumulative reward
  ☆29Updated 7 years ago
• nckwhiteley / volatility-change-points
  Dynamic time series clustering via volatility change-points
  ☆16Updated 5 years ago
• R-McHenry / ParallelizedGoExplore
  A first bare bones paralleled implementation of Go Explore as described by the Uber Engineering blog post
  ☆46Updated 6 years ago
• AlexIoannides / pymc-stochastic-process
  Bayesian Inference and parameter estimation in quant finance.
  ☆43Updated 6 years ago
• gpanterov / genetic_algorithms_trading
  A method of using genetic algorithm to optimize trading strategies based on technical indicators
  ☆9Updated 10 years ago
• Ralami1859 / BayesianOnlineChange-pointDetection-python-codes-
  Implementation of the Bayesian Online Change-point Detector of Ryan Prescott Adams and David McKay.
  ☆15Updated 3 years ago