6 citations · 7 across the 5 of their papers we have counts for
8 papers
A2C is a special case of PPO
Shengyi Huang, Anssi Kanervisto, Antonin Raffin +3
Advantage Actor-critic (A2C) and Proximal Policy Optimization (PPO) are popular deep reinforcement learning algorithms used for game AI in recent years. A common understanding is t…
Improving Compositional Generalization in Classification Tasks via Structure Annotations
Juyong Kim, Pradeep Ravikumar, Joshua Ainslie +1
Compositional generalization is the ability to generalize systematically to a new data distribution by combining known components. Although humans seem to have a great ability to g…
Mondegreen: A Post-Processing Solution to Speech Recognition Error Correction for Voice Search Queries
Sukhdeep S. Sodhi, Ellie Ka-In Chio, Ambarish Jash +18
As more and more online search queries come from voice, automatic speech recognition becomes a key component to deliver relevant search results. Errors introduced by automatic spee…
The Personalization Paradox: the Conflict between Accurate User Models and Personalized Adaptive Systems
Santiago Ontañón, Jichen Zhu
Personalized adaptation technology has been adopted in a wide range of digital applications such as health, training and education, e-commerce and entertainment. Personalization sy…
Action Guidance: Getting the Best of Sparse Rewards and Shaped Rewards for Real-time Strategy Games
Shengyi Huang, Santiago Ontañón
Training agents using Reinforcement Learning in games with sparse rewards is a challenging problem, since large amounts of exploration are required to retrieve even the first rewar…
Understanding Learners' Problem-Solving Strategies in Concurrent and Parallel Programming: A Game-Based Approach
Jichen Zhu, Katelyn Alderfer, Brian Smith +2
Concurrent and parallel programming (CPP) is an increasingly important subject in Computer Science Education. However, the conceptual shift from sequential programming is notorious…