Don’t Start from Scratch: Behavioral Refinement via Interpolant-based Policy Diffusion
We develop interpolant policies that leverage informative source distributions for imitation learning.
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Arena 3.0 - Advancing Social Navigation in Collaborative and Highly Dynamic Environments
We introduce the third iteration of the Arena platform - Arena 3.0, a platform to develop, train, and benchmark social navigation approaches!
GRaCE: Balancing Multiple Criteria to Achieve Stable, Collision-Free, and Functional Grasps
We propose an optimization-based grasp synthesis framework, GRaCE, to generate context-specific grasps in complex scenarios. We test GRaCE in a simulator and a real-world grasping tasks.
Probable Object Location (POLo) Score Estimation for Efficient Object Goal Navigation
We introduce a novel framework centered around the Probable Object Location (POLo) score, which allows the agent to make data-driven decisions for efficient object search.
Selective Amnesia: A Continual Learning Approach to Forgetting in Deep Generative Models
We apply techniques from continual learning to the problem of selective forgetting in deep generative models. Our method, dubbed Selective Amnesia, allows users to remap undesired concepts to user-defined ones.
2 Papers at Neurips'23.
Both our submitted papers were accepted to Neurips this year! Come join us in New Orleans! Congrats to Alvin and Shuyue. Find out more about the papers below...
The Best of Both Worlds in Network Population Games: Reaching Consensus and Convergence to Equilibrium
We study a model of multi-population learning with heterogenous beliefs.
