Dmitry Ivanov

Self-Imitation Learning from Demonstrations

2022 · arXiv (Cornell University)

Despite the numerous breakthroughs achieved with Reinforcement Learning (RL), solving environments with sparse rewards remains a challenging task that requires sophisticated exploration. Learning from Demonstrations (LfD) remedies this issue by guiding the agent's exploration towards …

ASR Benchmarking: Need for a More Representative Conversational Dataset

2024 · arXiv (Cornell University)

Automatic Speech Recognition (ASR) systems have achieved remarkable performance on widely used benchmarks such as LibriSpeech and Fleurs. However, these benchmarks do not adequately reflect the complexities of real-world conversational environments, where speech is often …