1 citations · 1 across the 4 of their papers we have counts for
4 papers · 1 filter
Decentralized Deterministic Multi-Agent Reinforcement Learning
Antoine Grosnit, Desmond Cai, Laura Wynter
[Zhang, ICML 2018] provided the first decentralized actor-critic algorithm for multi-agent reinforcement learning (MARL) that offers convergence guarantees. In that work, policies…
Efficient Reinforcement Learning in Resource Allocation Problems Through Permutation Invariant Multi-task Learning
Desmond Cai, Shiau Hong Lim, Laura Wynter
One of the main challenges in real-world reinforcement learning is to learn successfully from limited training samples. We show that in certain settings, the available data can be…
Probabilistic Inference for Learning from Untrusted Sources
Duc Thien Nguyen, Shiau Hoong Lim, Laura Wynter +1
Federated learning brings potential benefits of faster learning, better solutions, and a greater propensity to transfer when heterogeneous data from different parties increases div…
Variational Bayesian Inference for Crowdsourcing Predictions
Desmond Cai, Duc Thien Nguyen, Shiau Hong Lim +1
Crowdsourcing has emerged as an effective means for performing a number of machine learning tasks such as annotation and labelling of images and other data sets. In most early sett…