purvasingh96 / gym-fraudLinks
π³ Creates a new gym environment for credit-card anomaly detection using Deep Q-Networks (DQN) and leverages Open AI's Gym toolkit to allocate appropriate awards to the RL agent.
β17Updated 4 years ago
Alternatives and similar repositories for gym-fraud
Users that are interested in gym-fraud are comparing it to the libraries listed below
Sorting:
- Code for paper Stock trading rule discovery with double deep Q-networkβ14Updated 2 years ago
- Google Stock Price Prediction Using RNN - LSTMβ14Updated 6 years ago
- Fuzzy DQN in Kerasβ10Updated 4 years ago
- Official implementation of the UMDQN algorithm presented in the scientific research paper entitled "Distributional Reinforcement Learningβ¦β11Updated 3 years ago
- ε¦δΉ DRL CNN -> DQN -> LSTMβ13Updated 7 years ago
- The repository contains the code for project for DS 5500 course at Northeastern.β35Updated 5 years ago
- Jupyter notebook containing a solution to Sutton and Barto's gridworld problem with both a random agent and a Q-learning agent.β33Updated 7 years ago
- Hierarchical Attention in Reinforcement Learning for Stock Order Executionsβ31Updated 4 years ago
- This is a repository of DQN and its variants implementation in PyTorch based on the original papar.β13Updated 5 years ago
- Stock market data can be interesting to analyze and as a further incentive, strong predictive models can have large financial payoff. Theβ¦β24Updated 7 years ago
- Option hedging strategies are investigated using two reinforcement learning algorithms: deep Q network and deep deterministic policy gradβ¦β21Updated 5 years ago
- Python DQN for practicable portfolio managementβ12Updated 5 years ago
- β11Updated 3 years ago
- stock trading strategy automatic generated from historical price and volume, using DQNβ25Updated 7 years ago
- Reinforcement learning algorithm implementationβ10Updated 3 years ago
- An attempt at recreating DeepMind's implementation of Deep Q Learning on Atari Breakout using PyTorchβ12Updated 5 years ago
- Trading Robot based on LSTM-PPOβ28Updated 5 years ago
- Using N-step dueling DDQN with PER for playing Pacman gameβ22Updated 5 years ago
- My implementation of a deep q learning network learning to play pong.β10Updated 4 years ago
- Some codes used for the numerical examples proposed in https://arxiv.org/abs/1812.05916β13Updated 6 years ago
- Implementation of the DDPG algorithm for Optimal Finance Tradingβ45Updated 6 years ago
- β10Updated 8 months ago
- RL Agent for Atari Game Pongβ12Updated 6 years ago
- Automated stock trading strategy using deep reinforcement learning and recurrent neural networksβ13Updated 11 months ago
- ReforcementLearning in Actionβ15Updated 7 years ago
- Deep Reinforcement Learning with Double Q-learningβ14Updated 4 years ago
- A DQN agent that optimally hedges an options portfolio.β24Updated 5 years ago
- Applying Reinforcement learning models for stock price predictionsβ25Updated 6 years ago
- The work aims to explore Value based, Deep Reinforcment Learning (Deep Q-Learning and Double Deep Q-Learning) for the problem of Optimal β¦β55Updated 5 years ago
- β16Updated 4 years ago