PcLast: Discovering Plannable Continuous Latent States

no code implementations • 6 Nov 2023 • Anurag Koul, Shivakanth Sujit, Shaoru Chen, Ben Evans, Lili Wu, Byron Xu, Rajan Chari, Riashat Islam, Raihan Seraj, Yonathan Efroni, Lekan Molu, Miro Dudik, John Langford, Alex Lamb

Goal-conditioned planning benefits from learned low-dimensional representations of rich, high-dimensional observations.

Bridging the Gap Between Offline and Online Reinforcement Learning Evaluation Methodologies

no code implementations • 15 Dec 2022 • Shivakanth Sujit, Pedro H. M. Braga, Jorg Bornschein, Samira Ebrahimi Kahou

Offline RL algorithms try to address this issue by bootstrapping the learning process from existing logged data without needing to interact with the environment from the very beginning.

Offline RL reinforcement-learning +1

Learning Robust Dynamics through Variational Sparse Gating

1 code implementation • 21 Oct 2022 • Arnav Kumar Jain, Shivakanth Sujit, Shruti Joshi, Vincent Michalski, Danijar Hafner, Samira Ebrahimi-Kahou

Learning world models from their sensory inputs enables agents to plan for actions by imagining their future outcomes.

Inductive Bias