[Coursera] Reinforcement Learning Specialization by "University of Alberta" & "Alberta Machine Intelligence Institute"
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Updated
Feb 12, 2020 - Jupyter Notebook
[Coursera] Reinforcement Learning Specialization by "University of Alberta" & "Alberta Machine Intelligence Institute"
A curated list of Monte Carlo tree search papers with implementations.
Trading environnement for RL agents, backtesting and training.
Implementation of the paper "Overcoming Exploration in Reinforcement Learning with Demonstrations" Nair et al. over the HER baselines from OpenAI
Variational Quantum Circuits for Deep Reinforcement Learning since 2019. Xanadu Quantum Software Competition 1st Prize 2019.
Reinforcement Learning for Practitioners.
Learning 2-opt Heuristics for the TSP via Deep Reinforcement Learning
Modular framework for Reinforcement Learning in python
🐍 🏋 OpenAI GYM for Nintendo NES emulator FCEUX and 1983 game Mario Bros. + Double Q Learning for mastering the game
Implementation of algorithmic trading using reinforcement learning.
DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow, and DRQN
Discover a curated list of projects complementing TensorTrade, distinct from those mentioned in its official documentation. Contributions are welcome; if you spot a missing project, please submit a pull request!
REinforcement LEarning for Algorithmic Trading is a python framework for medium frequency trading algorithms for MetaTrader 5
PyTorch implementation of DDPG for continuous control tasks.
A reusable framework for successor features for transfer in deep reinforcement learning using keras.
A collection of Reinforcement Learning GitHub code resources divided by frameworks and environments
A well-documented A2C written in PyTorch
⚙️ Solving sudoku using Deep Reinforcement learning in combination with powerful symbolic representations.
Tabular methods for reinforcement learning
An environment for tabular Reinforcement Learning agents.
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