96 citations · 116 across the 3 of their papers we have counts for
3 papers
Improving Exploration in Soft-Actor-Critic with Normalizing Flows Policies
Patrick Nadeem Ward, Ariella Smofsky, Avishek Joey Bose
Deep Reinforcement Learning (DRL) algorithms for continuous action spaces are known to be brittle toward hyperparameters as well as \cut{being}sample inefficient. Soft Actor Critic…
A Cross-Domain Transferable Neural Coherence Model
Peng Xu, Hamidreza Saghir, Jin Sung Kang +4
Coherence is an important aspect of text quality and is crucial for ensuring its readability. One important limitation of existing coherence models is that training on one domain d…
Compositional Fairness Constraints for Graph Embeddings
Avishek Joey Bose, William L. Hamilton
Learning high-quality node embeddings is a key building block for machine learning models that operate on graph data, such as social networks and recommender systems. However, exis…