Deep Reinforcement Terrain Learning
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:
The implementation of the paper is also available here:
OpenAI’s Gym project: