A well-documented A2C written in PyTorch
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Updated
Jun 3, 2019 - Python
A well-documented A2C written in PyTorch
Teaching a neural network how to write letters and digits with reinforcement learning.
Attention-based Curiosity-driven Exploration in Deep Reinforcement Learning
Trying to implement Agar bot with DQN
A Facile guide for Deep Reinforcement Learning.
A docker environment and notebooks to experiment with Generative Adversarial Imitation Learning and Formal Methods
A docker environment and notebooks to experiment with the extraction of moore machines from RNN RL policies
MovieLens recommendation system using reinforcement learning (GYM + PPO)
A basic implementation of imitation learning using Stable Baselines 2.10
Training Open AI Gym with Reinforcement Learning
Mirror Descent Policy Optimization
Multi-step Greedy Reinforcement Learning Algorithms
Training in bursts for defending against adversarial policies
An implementation of reinforcement learning using Stable Baselines 2.10, with several features and focus on reproducing results
Stable Baselines官方文档中文版
Demo for hyperparameter tuning with tune using an DQN example from Udacity for OpenAI gym
Experiments to try and get the solo 8 up and running
Representing robots as graphs for reinforcement-learning in PyBullet locomotion environments.
A few things I learned while learning about machine learning.
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