Derived from arXiv:2606.20858 - Evolutionary Discovery of Developmental Reward Schedules in Deep Reinforcement Learning
Scanned 9/11/2026
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# Evolutionary Discovery of Developmental Reward Schedules in Deep Reinforcement Learning
Derived from arXiv:2606.20858 - Evolutionary Discovery of Developmental Reward Schedules in Deep Reinforcement Learning
## Core Concept
The temporal structure of reward composition in reinforcement learning (RL) is typically hand-designed and held fixed throughout training, leaving the progression of motivational priorities largely unexplored. In this work, we propose an evolutionary framework for discovering developmental reward schedules, in which three distinct biologically inspired motivational components -- agency, novelty, and reactivity -- are combined through time-varying weights that dynamically shift over the course of...
## Key Insights
- Derived from arXiv:2606.20858
- Published: 2026-06-18
- Utility Score: 0.90
- Authors: Alan Nadelsticher Ruvalcaba
## Activation
evolutionary-discovery-of-developmental-reward-sch, 2606.20858
## References
- arXiv: https://arxiv.org/abs/2606.20858
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