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Per-Context Reverse Curricula for Sparse-Reward Reinforcement Learning
Sparse-reward reinforcement learning often fails because rollouts from the unassisted evaluation start rarely reach later task stages. Reverse curricula address this by starting some training rollouts from easier intermediate states, called scaffolds. The main choices are which intermediate starts t
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