Tim Grams

Mitigating Information Loss in Tree-Based Reinforcement Learning via Direct Optimization

Reinforcement learning (RL) has seen significant success across various domains, but its adoption is often limited by the black-box nature of neural network policies, making them difficult to interpret. In contrast, symbolic policies allow representing decision-making strategies in a compact and int…