Despite the seeming success of contemporary grounded text generation sys...
We consider the Imitation Learning (IL) setup where expert data are not
...
We introduce SPEAR-TTS, a multi-speaker text-to-speech (TTS) system that...
Neural retrieval models have superseded classic bag-of-words methods suc...
We investigate models that can generate arbitrary natural language text ...
We introduce RLDS (Reinforcement Learning Datasets), an ecosystem for
re...
The recent emergence of navigational tools has changed traffic patterns ...
In Reinforcement Learning (RL), discrete actions, as opposed to continuo...
We present Brax, an open source library for rigid body simulation with a...
Adversarial imitation learning has become a popular framework for imitat...
We address the issue of tuning hyperparameters (HPs) for imitation learn...
In recent years, on-policy reinforcement learning (RL) has been successf...