Vector Quantized Wasserstein Auto-Encoder

no code implementations • 12 Feb 2023 • Tung-Long Vuong, Trung Le, He Zhao, Chuanxia Zheng, Mehrtash Harandi, Jianfei Cai, Dinh Phung

Learning deep discrete latent presentations offers a promise of better symbolic and summarized abstractions that are more useful to subsequent downstream tasks.

Clustering Decoder +1

Policy Optimization In the Face of Uncertainty

no code implementations • 25 Sep 2019 • Tung-Long Vuong, Han Nguyen, Hai Pham, Kenneth Tran

Under this framework, the objective function can represented end-to-end as a single computational graph, which allows seamless policy gradient computation via backpropagation through the models.

Continuous Control Model-based Reinforcement Learning

Uncertainty-aware Model-based Policy Optimization

no code implementations • 25 Jun 2019 • Tung-Long Vuong, Kenneth Tran

Model-based reinforcement learning has the potential to be more sample efficient than model-free approaches.

Continuous Control Model-based Reinforcement Learning +1