Publications

For news about publications, follow us on X:

Click on any author names or tags to filter publications.

All topic tags:
survey deep-rl multi-agent-rl agent-modelling ad-hoc-teamwork autonomous-driving goal-recognition explainable-ai causal generalisation security emergent-communication iterated-learning intrinsic-reward simulator state-estimation deep-learning transfer-learning

Selected tags (click to remove):
RLC Harshad-Khadilkar

2024

Aditya Kapoor, Sushant Swamy, Kale-ab Tessera, Mayank Baranwal, Mingfei Sun, Harshad Khadilkar, Stefano V. Albrecht
Agent-Temporal Credit Assignment for Optimal Policy Preservation in Sparse Multi-Agent Reinforcement Learning
RLC Workshop on Coordination and Cooperation for Multi-Agent Reinforcement Learning Methods, 2024
Abstract | BibTex | Paper
RLC deep-rl multi-agent-rl

@inproceedings{kapoor2024agenttemporal,
   title={Agent-Temporal Credit Assignment for Optimal Policy Preservation in Sparse Multi-Agent Reinforcement Learning},
   author={Aditya Kapoor and Sushant Swamy and Kale-ab Tessera and Mayank Baranwal and Mingfei Sun and Harshad Khadilkar and Stefano V Albrecht},
   booktitle={Coordination and Cooperation for Multi-Agent Reinforcement Learning Methods Workshop},
   year={2024},
   url={https://openreview.net/forum?id=dGS1e3FXUH}
}