Benjamin Freed

According to our database, Benjamin Freed authored at least 8 papers between 2020 and 2025.

Collaborative distances:

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

2025

Learning what to say and how precisely: Efficient Communication via Differentiable Discrete Communication Learning.

Aditya Kapoor, Yash Bhisikar, Benjamin Freed, Jan Peters, Mingfei Sun

CoRR, November, 2025

2024

Assigning Credit with Partial Reward Decoupling in Multi-Agent Proximal Policy Optimization.

Aditya Kapoor, Benjamin Freed, Jeff Schneider, Howie Choset

RLJ, 2024

Unifying Model-Based and Model-Free Reinforcement Learning with Equivalent Policy Sets.

Benjamin Freed, Thomas Wei, Roberto Calandra, Jeff Schneider, Howie Choset

RLJ, 2024

2023

Learning Temporally AbstractWorld Models without Online Experimentation.

Benjamin Freed, Siddarth Venkatraman, Guillaume Adrien Sartoretti, Jeff Schneider, Howie Choset

Proceedings of the International Conference on Machine Learning, 2023

2022

Learning Cooperative Multi-Agent Policies With Partial Reward Decoupling.

Benjamin Freed, Aditya Kapoor, Ian Abraham, Jeff G. Schneider, Howie Choset

IEEE Robotics Autom. Lett., 2022

2020

Simultaneous Policy and Discrete Communication Learning for Multi-Agent Cooperation.

Benjamin Freed, Guillaume Sartoretti, Howie Choset

IEEE Robotics Autom. Lett., 2020

Sparse Discrete Communication Learning for Multi-Agent Cooperation Through Backpropagation.

Benjamin Freed, Rohan James, Guillaume Sartoretti, Howie Choset

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Communication Learning via Backpropagation in Discrete Channels with Unknown Noise.

Benjamin Freed, Guillaume Sartoretti, Jiaheng Hu, Howie Choset

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020