no code implementations • 15 Mar 2023 • Garrett Thomas, Ching-An Cheng, Ricky Loynd, Felipe Vieira Frujeri, Vibhav Vineet, Mihai Jalobeanu, Andrey Kolobov
A rich representation is key to general robotic manipulation, but existing approaches to representation learning require large amounts of multimodal demonstrations.
1 code implementation • 11 Oct 2022 • Cameron Diao, Ricky Loynd
Transformers flexibly operate over sets of real-valued vectors representing task-specific entities and their attributes, where each vector might encode one word-piece token and its position in a sequence, or some piece of information that carries no position at all.
1 code implementation • 15 Aug 2022 • Nolan Wagener, Andrey Kolobov, Felipe Vieira Frujeri, Ricky Loynd, Ching-An Cheng, Matthew Hausknecht
We demonstrate the utility of MoCapAct by using it to train a single hierarchical policy capable of tracking the entire MoCap dataset within dm_control and show the learned low-level component can be re-used to efficiently learn downstream high-level tasks.
no code implementations • ICML 2020 • Ricky Loynd, Roland Fernandez, Asli Celikyilmaz, Adith Swaminathan, Matthew Hausknecht
Transformers have increasingly outperformed gated RNNs in obtaining new state-of-the-art results on supervised tasks involving text sequences.
1 code implementation • 12 Feb 2019 • Matthew Hausknecht, Ricky Loynd, Greg Yang, Adith Swaminathan, Jason D. Williams
Interactive Fiction (IF) games are complex textual decision making problems.
no code implementations • ICLR 2018 • Ricky Loynd, Matthew Hausknecht, Lihong Li, Li Deng
Humans rely on episodic memory constantly, in remembering the name of someone they met 10 minutes ago, the plot of a movie as it unfolds, or where they parked the car.