Even a slight mixture of reward and value in a proxy reward can force a reinforcement learning agent to endlessly pursue an instrumental goal, losing all true reward.
Dynamic potential-based reward shaping
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2025 1verdicts
ACCEPT 1representative citing papers
citing papers explorer
-
Misalignment from Treating Means as Ends
Even a slight mixture of reward and value in a proxy reward can force a reinforcement learning agent to endlessly pursue an instrumental goal, losing all true reward.