Combining Dense and Sparse Rewards to Improve Deep Reinforcement Learning Policies in Reach-Avoid Games with Faster Evaders in Two vs. One Scenarios.

Jefferson Silveira, Kalena McCloskey, Camille Alain Rabbath, Craig Williams, Sidney Givigi

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