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Currently, the target for the value function is the discounted sum of all future rewards. This gives unbiased estimate but will result in higher variance. An alternative is to use bootstrapped estimate, i.e. something like
target[i] = rewards[i] + gamma * prev_values * masks[i]
Bootstrapping is often preferred due to low variance, even though it results in biased gradient estimate.
The text was updated successfully, but these errors were encountered:
Currently, the target for the value function is the discounted sum of all future rewards. This gives unbiased estimate but will result in higher variance. An alternative is to use bootstrapped estimate, i.e. something like
target[i] = rewards[i] + gamma * prev_values * masks[i]
Bootstrapping is often preferred due to low variance, even though it results in biased gradient estimate.
The text was updated successfully, but these errors were encountered: