PlanGAN: Model-based Planning With Sparse Rewards and Multiple Goals

1 Jun 2020Henry CharlesworthGiovanni Montana

Learning with sparse rewards remains a significant challenge in reinforcement learning (RL), especially when the aim is to train a policy capable of achieving multiple different goals. To date, the most successful approaches for dealing with multi-goal, sparse reward environments have been model-free RL algorithms... (read more)

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