Search Results for author: Sivaramakrishnan Swaminathan

Found 3 papers, 1 papers with code

Diffusion Model Predictive Control

no code implementations • 7 Oct 2024 • Guangyao Zhou, Sivaramakrishnan Swaminathan, Rajkumar Vasudeva Raju, J. Swaroop Guntupalli, Wolfgang Lehrach, Joseph Ortiz, Antoine Dedieu, Miguel Lázaro-Gredilla, Kevin Murphy

We propose Diffusion Model Predictive Control (D-MPC), a novel MPC approach that learns a multi-step action proposal and a multi-step dynamics model, both using diffusion models, and combines them for use in online MPC.

D4RL model +1

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DMC-VB: A Benchmark for Representation Learning for Control with Visual Distractors

1 code implementation • 26 Sep 2024 • Joseph Ortiz, Antoine Dedieu, Wolfgang Lehrach, Swaroop Guntupalli, Carter Wendelken, Ahmad Humayun, Guangyao Zhou, Sivaramakrishnan Swaminathan, Miguel Lázaro-Gredilla, Kevin Murphy

In this paper, we present theDeepMind Control Visual Benchmark (DMC-VB), a dataset collected in the DeepMind Control Suite to evaluate the robustness of offline RL agents for solving continuous control tasks from visual input in the presence of visual distractors.

continuous-control Continuous Control +3

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Fast exploration and learning of latent graphs with aliased observations

no code implementations • 13 Mar 2023 • Miguel Lazaro-Gredilla, Ishan Deshpande, Sivaramakrishnan Swaminathan, Meet Dave, Dileep George

We consider the problem of recovering a latent graph where the observations at each node are \emph{aliased}, and transitions are stochastic.

Efficient Exploration

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