Decentralized Deterministic Multi-Agent Reinforcement Learning

no code implementations • 19 Feb 2021 • Antoine Grosnit, Desmond Cai, Laura Wynter

We extend those results to offer a provably-convergent decentralized actor-critic algorithm for learning deterministic policies on continuous action spaces.

Multi-agent Reinforcement Learning reinforcement-learning +1

Efficient Reinforcement Learning in Resource Allocation Problems Through Permutation Invariant Multi-task Learning

no code implementations • 18 Feb 2021 • 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.

Federated Learning Multi-Task Learning +3

Probabilistic Inference for Learning from Untrusted Sources

no code implementations • 15 Jan 2021 • Duc Thien Nguyen, Shiau Hoong Lim, Laura Wynter, Desmond Cai

Federated learning brings potential benefits of faster learning, better solutions, and a greater propensity to transfer when heterogeneous data from different parties increases diversity.

Bayesian Inference Collaborative Filtering +1

Variational Bayesian Inference for Crowdsourcing Predictions

no code implementations • 1 Jun 2020 • Desmond Cai, Duc Thien Nguyen, Shiau Hong Lim, Laura Wynter

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.

Bayesian Inference