Deep Q Network with TensorFlow, used to solve CartPole environment from Gym.
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Updated
Jan 10, 2019 - Python
Deep Q Network with TensorFlow, used to solve CartPole environment from Gym.
A Gym-based environment for robot rearrangement task
Bring terraria reinforge to Minecraft.
Basic game based on Reinforcement Learning
realisation of reinforcement learning algorithms based with vizdoom
The task is based on the implementation of Classical RL algorithms on the customized environments such as Frozen lake, Flappy Bird game and on some open ai gym environments such as MiniGrid..
This was more of an experiment to learn how to cuda and parallelize things. Thus, there are many many things that can be improved on. Feel free to use it and contribute if you find it useful.
This repo will contain Implementations of different RL algorithms, worked examples and requests for research from OpenAI.
Computational framework for reinforcement learning in traffic control
My content of CS294 Deep Reinforcement Learning course, conduced by Sergey Levine from UC Berkeley.
uitb-tools: Data analysis and design tools for the uitb framework.
Robotic Arm learns to approach objects using Deep Reinforcement Learning
Kitten Reinforcement add-on for Anki
A Python Implementation of Bayesian Inverse Reinforcement Learning (BIRL)
Autonomous Aerial Vehicle
Part 1: 1. 4x4 grid environment 2. non-slippery environment 3. Q-learning Algorithm
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