Fabio Pardo

Publications by Year

Research Areas

Reinforcement Learning in Robotics, Artificial Intelligence in Games, Multimodal Machine Learning Applications, Evolutionary Algorithms and Applications, Educational Games and Gamification

Most-Cited Works

• → Action Branching Architectures for Deep Reinforcement Learning(2018)230 cited
• CoMic: Complementary Task Learning & Mimicry for Reusable Skills(2020)
• → Time Limits in Reinforcement Learning(2017)13 cited
• → Tonic: A Deep Reinforcement Learning Library for Fast Prototyping and\n Benchmarking(2020)9 cited
• → OstrichRL: A Musculoskeletal Ostrich Simulation to Study Bio-mechanical Locomotion(2021)8 cited
• → Ivy: Templated Deep Learning for Inter-Framework Portability(2021)6 cited
• → Vision-Language Models as a Source of Rewards(2023)3 cited
• → Scaling All-Goals Updates in Reinforcement Learning Using Convolutional Neural Networks(2020)2 cited