playing around with Reinforcement Learning
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Updated
Nov 28, 2017 - Python
playing around with Reinforcement Learning
Deep Learning Final Project using Q Learning!
playing around with keras open ai and conv nets
This software package performs q learning on a damaged(handicaped) magni robot so as to make it follow the trajectory with least deviation
Deep Q-Network agent implemented in Python capable of learning to land on the moon in MoonLander-v2 environment from AI Gym library
Learning from AI
Q-Learning Algorithm to teach a taxi agent to navigate a small grid world
Training an agent to play game using reinforcement learning
Solving the OpenAI Gym "Lunar Lander v2" environment
A program to train an agent on a simple tile based environment using deep Q-networks (Neural Networks and Q-learning) and a program to train an agent to play the Breakout ATARI game.
OpenAI Gym reinforcement learning examples. FrozenLake-v0 and Taxi-v2
A Markov Decision Process with large number of states and its solvers (value iteration, policy iteration and Q-learning)
Personal Deep Reinforcement Learning class notes
Machine learning algorithms
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