Course (CS6700) assignment on Reinforcement Learning
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Updated
Apr 29, 2018 - Python
Course (CS6700) assignment on Reinforcement Learning
Reinforcement learning analysis using Python, OpenAI Gym and rllab.
Double DQN for Openai's Atari Environments
Repository hosting my solutions to OpenAI's Gym environments
Implementations of AIs (trying to) solve games from OpenAI Gym
Pong Game problem solving using RL - Policy Gradient with OpenAI Gym Framework and Tensorflow
I used Cross Entropy methods as an alternative to reinforcement learning methods to search policy space for the optimal policy where there is no assumption about the structure of the problem for both continuous and discrete space tasks in OpenAI gym.
Contains examples for reinforcement learning and deep reinforcement learning using R, Keras (TF) and OpenAI-gym
this repo comprises of: Various notebooks with openAI gym
Exercises from Open AI's gym python module
Implemented Deep Reinforcement Learning algorithm (Neural Q-Learning) on a classic control task in OpenAI AI-Gym Environment - the CartPole game
Plane seat boarding OpenAI Gym environment
A Deep Q Learning based agent that learns how to land a rocket safely without crashing on the Moon! Kinda like the stuff that Elon Musk does in real life :P
Using Reinforcement Learning (DQN) to train a Lunar Lander for automated landing
Reinforcement Learning Project - Mountain Car
Reinforcement learning using Keras
Deep Reinforcement Learning for simulated autonomous driving.
A2C implementation for OpenAI Gym agents
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