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
Computational framework for reinforcement learning in traffic control
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.
Robotic Arm learns to approach objects using Deep Reinforcement Learning
My content of CS294 Deep Reinforcement Learning course, conduced by Sergey Levine from UC Berkeley.
uitb-tools: Trajectory analysis tools for the uitb framework.
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
Reinforcement learning is a machine learning technique where agents learn to make optimal decisions by maximizing reward signals through interactions with environment. This repository provides a curated list of resources for learning reinforcement learning, including courses, & tutorials from various providers.
DQN with Prioritized Experience Replay, DDPG for Continous Environments, DDPG for Multi-Agent Reinforcement Learning
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