Deep Reinforcement Terrain Learning | Two Minute Papers #67

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In this piece of work, a combination of deep learning and reinforcement learning is presented which has proven to be useful in solving many extremely difficult tasks. Google DeepMind built a system that can play Atari games at a superhuman level using this technique that is also referred to as Deep Q-Learning. This time, it was used to teach digital creatures to walk and overcome challenging terrain arrangements.

__________________________

The paper "Terrain-Adaptive Locomotion Skills
Using Deep Reinforcement Learning " is available here:
http://www.cs.ubc.ca/~van/papers/2016-TOG-deepRL/index.html

The implementation of the paper is also available here:
https://github.com/xbpeng/DeepTerrainRL

OpenAI's Gym project:
https://gym.openai.com/

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two minute papers
Terrain-Adaptive Locomotion Skills Using Deep Reinforcement Learning
deep q learning
deep reinforcement learning
deep reinforcement terrain learning
deep learning
deep neural network
neural network
deep learning graphics
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machine learning
openai
openai gym
gym
reinforcement learning
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q learning
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