Keyang He

According to our database, Keyang He authored at least 8 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Modeling and reinforcement learning in partially observable many-agent systems.

Keyang He, Prashant Doshi, Bikramjit Banerjee

Auton. Agents Multi Agent Syst., June, 2024

Robust Individualistic Learning in Many-Agent Systems.

Keyang He, Prashant Doshi, Bikramjit Banerjee

Proceedings of the PRIMA 2024: Principles and Practice of Multi-Agent Systems, 2024

2023

Latent Interactive A2C for Improved RL in Open Many-Agent Systems.

Keyang He, Prashant Doshi, Bikramjit Banerjee

CoRR, 2023

2022

Reinforcement learning in many-agent settings under partial observability.

Keyang He, Prashant Doshi, Bikramjit Banerjee

Proceedings of the Uncertainty in Artificial Intelligence, 2022

2021

PALO bounds for reinforcement learning in partially observable stochastic games.

Roi Ceren, Keyang He, Prashant Doshi, Bikramjit Banerjee

Neurocomputing, 2021

Many Agent Reinforcement Learning Under Partial Observability.

Keyang He, Prashant Doshi, Bikramjit Banerjee

CoRR, 2021

Cooperative-Competitive Reinforcement Learning with History-Dependent Rewards.

Keyang He, Bikramjit Banerjee, Prashant Doshi

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

2018

Reinforcement Learning for Heterogeneous Teams with PALO Bounds.

Roi Ceren, Prashant Doshi, Keyang He

CoRR, 2018