1 citations · 1 across the 2 of their papers we have counts for
Showing cs.LGShow all
3 papers · 1 filter
cs.LG2021
Distributionally-Constrained Policy Optimization via Unbalanced Optimal Transport
Arash Givchi, Pei Wang, Junqi Wang +1
We consider constrained policy optimization in Reinforcement Learning, where the constraints are in form of marginals on state visitations and global action executions. Given these…
cs.LG2020
Sequential Cooperative Bayesian Inference
Junqi Wang, Pei Wang, Patrick Shafto
Cooperation is often implicitly assumed when learning from other agents. Cooperation implies that the agent selecting the data, and the agent learning from the data, have the same…
cs.LG2019
A mathematical theory of cooperative communication
Pei Wang, Junqi Wang, Pushpi Paranamana +1
Cooperative communication plays a central role in theories of human cognition, language, development, culture, and human-robot interaction. Prior models of cooperative communicatio…