Manfred Diaz
Publications by Year
Research Areas
Reinforcement Learning in Robotics, Language and cultural evolution, Topic Modeling, Advanced Neural Network Applications, Child and Animal Learning Development
Most-Cited Works
- → Active Domain Randomization(2019)33 cited
- → To Veer or Not to Veer: Learning from Experts How to Stay Within the Crosswalk(2017)7 cited
- → Uncertainty-Aware Policy Sampling and Mixing for Safe Interactive Imitation Learning(2021)2 cited
- → Rethinking Teacher-Student Curriculum Learning through the Cooperative Mechanics of Experience(2024)1 cited
- → A theory of appropriateness with applications to generative artificial intelligence(2024)1 cited
- → The AI Driving Olympics at NeurIPS 2018(2019)1 cited
- → Braxlines: Fast and Interactive Toolkit for RL-driven Behavior Engineering beyond Reward Maximization(2021)1 cited
- → Soft Condorcet Optimization for Ranking of General Agents(2024)
- LOCO: Adaptive exploration in reinforcement learning via local estimation of contraction coefficients(2021)
- → Societal and technological progress as sewing an ever-growing, ever-changing, patchy, and polychrome quilt(2025)