Shauharda Khadka

Publication Activity (10 Years)

Years Active: 2016-2022
Publications (10 Years): 21

Top Topics

Policy Gradient

Eligibility Traces

Reinforcement Learning

Cooperative Coevolution

Top Venues

Publications

Hassam Ullah Sheikh, Shauharda Khadka, Santiago Miret, Somdeb Majumdar, Mariano Phielipp
Learning Intrinsic Symbolic Rewards in Reinforcement Learning. IJCNN (2022)
Shauharda Khadka, Estelle Aflalo, Mattias Marder, Avrech Ben-David, Santiago Miret, Shie Mannor, Tamir Hazan, Hanlin Tang, Somdeb Majumdar
Optimizing Memory Placement using Evolutionary Graph Reinforcement Learning. ICLR (2021)
Enna Sachdeva, Shauharda Khadka, Somdeb Majumdar, Kagan Tumer
MAEDyS: multiagent evolution via dynamic skill selection. GECCO (2021)
Enna Sachdeva, Shauharda Khadka, Somdeb Majumdar, Kagan Tumer
Dynamic Skill Selection for Learning Joint Actions. AAMAS (2021)
Somdeb Majumdar, Shauharda Khadka, Santiago Miret, Stephen McAleer, Kagan Tumer
Evolutionary Reinforcement Learning for Sample-Efficient Multiagent Coordination. ICML (2020)
Shauharda Khadka, Estelle Aflalo, Mattias Marder, Avrech Ben-David, Santiago Miret, Hanlin Tang, Shie Mannor, Tamir Hazan, Somdeb Majumdar
Optimizing Memory Placement using Evolutionary Graph Reinforcement Learning. CoRR (2020)
Golden Rockefeller, Shauharda Khadka, Kagan Tumer
Multi-level Fitness Critics for Cooperative Coevolution. AAMAS (2020)
Hassam Sheikh, Shauharda Khadka, Santiago Miret, Somdeb Majumdar
Learning Intrinsic Symbolic Rewards in Reinforcement Learning. CoRR (2020)
Lukasz Kidzinski, Carmichael F. Ong, Sharada Prasanna Mohanty, Jennifer L. Hicks, Sean F. Carroll, Bo Zhou, Hong-cheng Zeng, Fan Wang, Rongzhong Lian, Hao Tian, Wojciech Jaskowski, Garrett Andersen, Odd Rune Lykkebø, Nihat Engin Toklu, Pranav Shyam, Rupesh Kumar Srivastava, Sergey Kolesnikov, Oleksii Hrinchuk, Anton Pechenko, Mattias Ljungström, Zhen Wang, Xu Hu, Zehong Hu, Minghui Qiu, Jun Huang, Aleksei Shpilman, Ivan Sosin, Oleg Svidchenko, Aleksandra Malysheva, Daniel Kudenko, Lance Rane, Aditya Bhatt, Zhengfei Wang, Penghui Qi, Zeyang Yu, Peng Peng, Quan Yuan, Wenxin Li, Yunsheng Tian, Ruihan Yang, Pingchuan Ma, Shauharda Khadka, Somdeb Majumdar, Zach Dwiel, Yinyin Liu, Evren Tumer, Jeremy D. Watson, Marcel Salathé, Sergey Levine, Scott L. Delp
Artificial Intelligence for Prosthetics - challenge solutions. CoRR (2019)
Shauharda Khadka, Somdeb Majumdar, Tarek Nassar, Zach Dwiel, Evren Tumer, Santiago Miret, Yinyin Liu, Kagan Tumer
Collaborative Evolutionary Reinforcement Learning. ICML (2019)
Shauharda Khadka, Connor Yates, Kagan Tumer
Memory based Multiagent One Shot Learning. AAMAS (2019)
Shauharda Khadka, Somdeb Majumdar, Kagan Tumer
Evolutionary Reinforcement Learning for Sample-Efficient Multiagent Coordination. CoRR (2019)
Shauharda Khadka, Somdeb Majumdar, Tarek Nassar, Zach Dwiel, Evren Tumer, Santiago Miret, Yinyin Liu, Kagan Tumer
Collaborative Evolutionary Reinforcement Learning. CoRR (2019)
Shauharda Khadka, Jen Jen Chung, Kagan Tumer
Neuroevolution of a Modular Memory-Augmented Neural Network for Deep Memory Problems. Evol. Comput. 27 (4) (2019)
Shauharda Khadka, Connor Yates, Kagan Tumer
Memory-Based Multiagent One-Shot Learning: Extended Abstract. MRS (2019)
Shauharda Khadka, Kagan Tumer
Evolution-Guided Policy Gradient in Reinforcement Learning. NeurIPS (2018)
Shauharda Khadka, Kagan Tumer
Evolutionary Reinforcement Learning. CoRR (2018)
Shauharda Khadka, Connor Yates, Kagan Tumer
A Memory-based Multiagent Framework for Adaptive Decision Making. AAMAS (2018)
Shauharda Khadka, Jen Jen Chung, Kagan Tumer
Memory-augmented multi-robot teams that learn to adapt. MRS (2017)
Shauharda Khadka, Jen Jen Chung, Kagan Tumer
Evolving memory-augmented neural architecture for deep memory problems. GECCO (2017)
Shauharda Khadka, Kagan Tumer, Mitchell K. Colby, Dave Tucker, Paolo Pezzini, Kenneth Mark Bryden
Neuroevolution of a Hybrid Power Plant Simulator. GECCO (2016)