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osim-rl
package allows you to synthesize physiologically accurate movement by combining biomechanical expertise embeded in OpenSim simulation software with state-of-the-art control strategies using Deep Reinforcement Learning.
Our objectives are to:
* use Reinforcement Learning (RL) to solve problems in healthcare,
* promote open-source tools in RL research (the physics simulator, the RL environment, and the competition platform on which we run challenges are all open-source),
* encourage RL research in computationally complex environments, with stochasticity and highly-dimensional action spaces, relevant to real-life applications,
* bridge biomechanics, neuroscience, and computer science communities.