Shauharda Khadka

21 papers A* 4A 7B 1Journal 7Unranked 2

Year	Rank	Type	Title / Venue / Authors
2022	B	`conf`	Learning Intrinsic Symbolic Rewards in Reinforcement Learning. IJCNN Hassam Ullah Sheikh, Shauharda Khadka, Santiago Miret, Somdeb Majumdar, Mariano Phielipp
2021	A	`conf`	Dynamic Skill Selection for Learning Joint Actions. AAMAS Enna Sachdeva, Shauharda Khadka, Somdeb Majumdar, Kagan Tumer
2021	A	`conf`	MAEDyS: multiagent evolution via dynamic skill selection. GECCO Enna Sachdeva, Shauharda Khadka, Somdeb Majumdar, Kagan Tumer
2021	A*	`conf`	Optimizing Memory Placement using Evolutionary Graph Reinforcement Learning. ICLR Shauharda Khadka, Estelle Aflalo, Mattias Marder, Avrech Ben-David, Santiago Miret, Shie Mannor, Tamir Hazan, Hanlin Tang, Somdeb Majumdar
2020	A*	`conf`	Evolutionary Reinforcement Learning for Sample-Efficient Multiagent Coordination. ICML Somdeb Majumdar, Shauharda Khadka, Santiago Miret, Stephen McAleer, Kagan Tumer
2020	J	`jnl`	Learning Intrinsic Symbolic Rewards in Reinforcement Learning. CoRR Hassam Sheikh, Shauharda Khadka, Santiago Miret, Somdeb Majumdar
2020	A	`conf`	Multi-level Fitness Critics for Cooperative Coevolution. AAMAS Golden Rockefeller, Shauharda Khadka, Kagan Tumer
2020	J	`jnl`	Optimizing Memory Placement using Evolutionary Graph Reinforcement Learning. CoRR Shauharda Khadka, Estelle Aflalo, Mattias Marder, Avrech Ben-David, Santiago Miret, Hanlin Tang, Shie Mannor, Tamir Hazan, Somdeb Majumdar
2019	J	`jnl`	Artificial Intelligence for Prosthetics - challenge solutions. CoRR Lukasz Kidzinski, Carmichael F. Ong, Sharada Prasanna Mohanty, Jennifer L. Hicks, Sean F. Carroll, Bo Zhou, Hongsheng 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
2019	A*	`conf`	Collaborative Evolutionary Reinforcement Learning. ICML Shauharda Khadka, Somdeb Majumdar, Tarek Nassar, Zach Dwiel, Evren Tumer, Santiago Miret, Yinyin Liu, Kagan Tumer
2019	J	`jnl`	Collaborative Evolutionary Reinforcement Learning. CoRR Shauharda Khadka, Somdeb Majumdar, Tarek Nassar, Zach Dwiel, Evren Tumer, Santiago Miret, Yinyin Liu, Kagan Tumer
2019	J	`jnl`	Evolutionary Reinforcement Learning for Sample-Efficient Multiagent Coordination. CoRR Shauharda Khadka, Somdeb Majumdar, Kagan Tumer
2019	A	`conf`	Memory based Multiagent One Shot Learning. AAMAS Shauharda Khadka, Connor Yates, Kagan Tumer
2019	—	`conf`	Memory-Based Multiagent One-Shot Learning: Extended Abstract. MRS Shauharda Khadka, Connor Yates, Kagan Tumer
2019	J	`jnl`	Neuroevolution of a Modular Memory-Augmented Neural Network for Deep Memory Problems. Evol. Comput. Shauharda Khadka, Jen Jen Chung, Kagan Tumer
2018	A	`conf`	A Memory-based Multiagent Framework for Adaptive Decision Making. AAMAS Shauharda Khadka, Connor Yates, Kagan Tumer
2018	A*	`conf`	Evolution-Guided Policy Gradient in Reinforcement Learning. NeurIPS Shauharda Khadka, Kagan Tumer
2018	J	`jnl`	Evolutionary Reinforcement Learning. CoRR Shauharda Khadka, Kagan Tumer
2017	A	`conf`	Evolving memory-augmented neural architecture for deep memory problems. GECCO Shauharda Khadka, Jen Jen Chung, Kagan Tumer
2017	—	`conf`	Memory-augmented multi-robot teams that learn to adapt. MRS Shauharda Khadka, Jen Jen Chung, Kagan Tumer
2016	A	`conf`	Neuroevolution of a Hybrid Power Plant Simulator. GECCO Shauharda Khadka, Kagan Tumer, Mitchell K. Colby, Dave Tucker, Paolo Pezzini, Kenneth Mark Bryden