Shauharda Khadka

According to our database, Shauharda Khadka authored at least 19 papers between 2016 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2022

Learning Intrinsic Symbolic Rewards in Reinforcement Learning.

Hassam Ullah Sheikh, Shauharda Khadka, Santiago Miret, Somdeb Majumdar, Mariano Phielipp

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

Optimizing Memory Placement using Evolutionary Graph Reinforcement Learning.

Shauharda Khadka, Estelle Aflalo, Mattias Marder, Avrech Ben-David, Santiago Miret, Shie Mannor, Tamir Hazan, Hanlin Tang, Somdeb Majumdar

Proceedings of the 9th International Conference on Learning Representations, 2021

MAEDyS: multiagent evolution via dynamic skill selection.

Enna Sachdeva, Shauharda Khadka, Somdeb Majumdar, Kagan Tumer

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Dynamic Skill Selection for Learning Joint Actions.

Enna Sachdeva, Shauharda Khadka, Somdeb Majumdar, Kagan Tumer

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

2020

Learning Intrinsic Symbolic Rewards in Reinforcement Learning.

Hassam Sheikh, Shauharda Khadka, Santiago Miret, Somdeb Majumdar

CoRR, 2020

Evolutionary Reinforcement Learning for Sample-Efficient Multiagent Coordination.

Somdeb Majumdar, Shauharda Khadka, Santiago Miret, Stephen McAleer, Kagan Tumer

Proceedings of the 37th International Conference on Machine Learning, 2020

Multi-level Fitness Critics for Cooperative Coevolution.

Golden Rockefeller, Shauharda Khadka, Kagan Tumer

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

2019

Neuroevolution of a Modular Memory-Augmented Neural Network for Deep Memory Problems.

Shauharda Khadka, Jen Jen Chung, Kagan Tumer

Evol. Comput., 2019

Evolutionary Reinforcement Learning for Sample-Efficient Multiagent Coordination.

Shauharda Khadka, Somdeb Majumdar, Kagan Tumer

CoRR, 2019

Artificial Intelligence for Prosthetics - challenge solutions.

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

CoRR, 2019

Memory-Based Multiagent One-Shot Learning: Extended Abstract.

Shauharda Khadka, Connor Yates, Kagan Tumer

Proceedings of the 2019 International Symposium on Multi-Robot and Multi-Agent Systems, 2019

Collaborative Evolutionary Reinforcement Learning.

Shauharda Khadka, Somdeb Majumdar, Tarek Nassar, Zach Dwiel, Evren Tumer, Santiago Miret, Yinyin Liu, Kagan Tumer

Proceedings of the 36th International Conference on Machine Learning, 2019

Memory based Multiagent One Shot Learning.

Shauharda Khadka, Connor Yates, Kagan Tumer

Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

2018

Evolutionary Reinforcement Learning.

Shauharda Khadka, Kagan Tumer

CoRR, 2018

Evolution-Guided Policy Gradient in Reinforcement Learning.

Shauharda Khadka, Kagan Tumer

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

A Memory-based Multiagent Framework for Adaptive Decision Making.

Shauharda Khadka, Connor Yates, Kagan Tumer

Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

2017

Memory-augmented multi-robot teams that learn to adapt.

Shauharda Khadka, Jen Jen Chung, Kagan Tumer

Proceedings of the 2017 International Symposium on Multi-Robot and Multi-Agent Systems (MRS), 2017

Evolving memory-augmented neural architecture for deep memory problems.

Shauharda Khadka, Jen Jen Chung, Kagan Tumer

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

2016

Neuroevolution of a Hybrid Power Plant Simulator.

Shauharda Khadka, Kagan Tumer, Mitchell K. Colby, Dave Tucker, Paolo Pezzini, Kenneth Mark Bryden

Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016