George Konidaris

1. A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms
   2019/07/06 by Oliver Kroemer, Scott Niekum, Kroemer, Oliver +3 · 30 citations
   Engineering · Computer Science · #Robot Manipulation and Learning #Reinforcement Learning in Robotics #Robotic Path Planning Algorithms
2. Learning Multi-Level Hierarchies with Hindsight
   2017/12/04 by Andrew Levy, George Konidaris, Levy, Andrew +5 · 8 citations
   Computer Science · Social Sciences · #Reinforcement Learning in Robotics #Ethics and Social Impacts of AI #Explainable Artificial Intelligence (XAI)
3. Multi-Pass Q-Networks for Deep Reinforcement Learning with Parameterised Action Spaces
   2019/05/10 by Craig J. Bester, Steven D. James, Bester, Craig J. +3 · 5 citations
   Computer Science · Engineering · Neuroscience · #Reinforcement Learning in Robotics #Advanced Memory and Neural Computing #Neural dynamics and brain function
4. Learning Markov State Abstractions for Deep Reinforcement Learning
   2021/06/08 by Cameron Allen, Allen, Cameron, Neev Parikh +5 · 5 citations
   Computer Science · #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Human Pose and Action Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics
5. Communicating Robot Arm Motion Intent Through Mixed Reality Head-mounted\n Displays
   2017/08/11 by Eric Rosen, Rosen, Eric, David Whitney +11 · 3 citations
   Computer Science · Engineering · #FOS: Computer and information sciences #Hand Gesture Recognition Systems #Human-Computer Interaction (cs.HC) #Robotics (cs.RO) #Teleoperation and Haptic Systems #Virtual Reality Applications and Impacts
6. Robust and Efficient Transfer Learning with Hidden-Parameter Markov\n Decision Processes
   2017/06/20 by Taylor W. Killian, Killian, Taylor, Samuel Daulton +5 · 2 citations
   Computer Science · #Gaussian Processes and Bayesian Inference #Bayesian Modeling and Causal Inference #Target Tracking and Data Fusion in Sensor Networks
7. Verifiably Following Complex Robot Instructions with Foundation Models
   2024/02/18 by Benedict Quartey, Eric Rosen, Quartey, Benedict +5 · 3 citations
   Computer Science · Engineering · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Modular Robots and Swarm Intelligence #Robot Manipulation and Learning #Robotic Path Planning Algorithms #Robotics (cs.RO)
8. Effects of Data Geometry in Early Deep Learning
   2022/12/29 by Saket Tiwari, Tiwari, Saket, George Konidaris +1 · 2 citations
   Computer Science · #Topological and Geometric Data Analysis #Face and Expression Recognition #Neural Networks and Applications
9. Discovering Temporal Structure: An Overview of Hierarchical Reinforcement Learning
   2025/06/16 by Martin Klissarov, Akhil Bagaria, Klissarov, Martin +9 · 1 voice · 4 citations
   Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Music and Audio Processing #cs.AI
10. Model-based Reinforcement Learning for Parameterized Action Spaces
    2024/04/03 by Renhao Zhang, Haotian Fu, Zhang, Renhao +5 · 2 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics
11. Knowledge Retention for Continual Model-Based Reinforcement Learning
    2025/03/06 by Yixiang Sun, Haotian Fu, Sun, Yixiang +5 · 2 citations
    Computer Science · #Reinforcement Learning in Robotics #Generative Adversarial Networks and Image Synthesis #Domain Adaptation and Few-Shot Learning
12. Learning Deep Parameterized Skills from Demonstration for Re-targetable Visuomotor Control
    2019/10/23 by Jonathan Chang, Chang, Jonathan, Nishanth Kumar +15 · 2 citations
    Computer Science · Engineering · #Advanced Vision and Imaging #FOS: Computer and information sciences #Machine Learning (cs.LG) #Robot Manipulation and Learning #Robotic Path Planning Algorithms #Robotics (cs.RO)