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Performance of UDRLPG in three continuous control gym environments and compared to GoGePo (for its similarity) and DDPG (popular RL algorithm for continuous control tasks).
Generator’s ability to produce policies that achieve returns across the entire spectrum
Weighting strategy and performance-based replay buffer
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Upside Down Reinforcement Learning with Policy Generators
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