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cs.LG2021★ 1 cited
Subgoal-based Reward Shaping to Improve Efficiency in Reinforcement Learning
Takato Okudo, Seiji Yamada
Reinforcement learning, which acquires a policy maximizing long-term rewards, has been actively studied. Unfortunately, this learning type is too slow and difficult to use in pract…
cs.LG2021
Reward Shaping with Dynamic Trajectory Aggregation
Takato Okudo, Seiji Yamada
Reinforcement learning, which acquires a policy maximizing long-term rewards, has been actively studied. Unfortunately, this learning type is too slow and difficult to use in pract…