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cs.LG2021
Towards Practical Credit Assignment for Deep Reinforcement Learning
Vyacheslav Alipov, Riley Simmons-Edler, Nikita Putintsev +2
Credit assignment is a fundamental problem in reinforcement learning, the problem of measuring an action's influence on future rewards. Explicit credit assignment methods have the…
cs.LG2019
Reward Prediction Error as an Exploration Objective in Deep RL
Riley Simmons-Edler, Ben Eisner, Daniel Yang +4
A major challenge in reinforcement learning is exploration, when local dithering methods such as epsilon-greedy sampling are insufficient to solve a given task. Many recent methods…