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Questions tagged [reward-clipping]

For questions related to the act of clipping values of rewards observed in a problem (typically a Markov Decision Process) to a limited range (often limiting rewards to the range [-1, 1]). This is sometimes done in an effort to stabilize learning processes (most notably in the DQN algorithm and ...


Should the reward or the Q value be clipped for reinforcement learning

When extending reinforcement learning to the continuous states, continuous action case, we must use function approximators (linear or non-linear) to approximate the Q-value. It is well known that non-...