ALP-GMM is is an algorithm that learns to generate a learning curriculum for black box reinforcement learning agents, whereby it sequentially samples parameters controlling a stochastic procedural generation of tasks or environments.
Source: Teacher algorithms for curriculum learning of Deep RL in continuously parameterized environmentsPaper | Code | Results | Date | Stars |
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