Search Results for author: Varun Bhatt

Found 8 papers, 4 papers with code

Multi-Robot Coordination and Layout Design for Automated Warehousing

1 code implementation10 May 2023 Yulun Zhang, Matthew C. Fontaine, Varun Bhatt, Stefanos Nikolaidis, Jiaoyang Li

We show that, even with state-of-the-art MAPF algorithms, commonly used human-designed layouts can lead to congestion for warehouses with large numbers of robots and thus have limited scalability.

Layout Design Multi-Agent Path Finding

Arbitrarily Scalable Environment Generators via Neural Cellular Automata

1 code implementation NeurIPS 2023 Yulun Zhang, Matthew C. Fontaine, Varun Bhatt, Stefanos Nikolaidis, Jiaoyang Li

We show that NCA environment generators maintain consistent, regularized patterns regardless of environment size, significantly enhancing the scalability of multi-robot systems in two different domains with up to 2, 350 robots.

Inference-Based Deterministic Messaging For Multi-Agent Communication

1 code implementation3 Mar 2021 Varun Bhatt, Michael Buro

In this paper, we first study learning in matrix-based signaling games to empirically show that decentralized methods can converge to a suboptimal policy.

Surrogate Assisted Generation of Human-Robot Interaction Scenarios

1 code implementation26 Apr 2023 Varun Bhatt, Heramb Nemlekar, Matthew C. Fontaine, Bryon Tjanaka, Hejia Zhang, Ya-Chuan Hsu, Stefanos Nikolaidis

In the shared control teleoperation domain and a more complex shared workspace collaboration task, we show that surrogate assisted scenario generation efficiently synthesizes diverse datasets of challenging scenarios.

Software-Level Accuracy Using Stochastic Computing With Charge-Trap-Flash Based Weight Matrix

no code implementations9 Mar 2020 Varun Bhatt, Shalini Shrivastava, Tanmay Chavan, Udayan Ganguly

The in-memory computing paradigm with emerging memory devices has been recently shown to be a promising way to accelerate deep learning.

Q-Learning

An Analysis of Frame-skipping in Reinforcement Learning

no code implementations7 Feb 2021 Shivaram Kalyanakrishnan, Siddharth Aravindan, Vishwajeet Bagdawat, Varun Bhatt, Harshith Goka, Archit Gupta, Kalpesh Krishna, Vihari Piratla

In this paper, we investigate the role of the parameter $d$ in RL; $d$ is called the "frame-skip" parameter, since states in the Atari domain are images.

Decision Making reinforcement-learning +1

Deep Surrogate Assisted Generation of Environments

no code implementations9 Jun 2022 Varun Bhatt, Bryon Tjanaka, Matthew C. Fontaine, Stefanos Nikolaidis

Results in two benchmark domains show that DSAGE significantly outperforms existing QD environment generation algorithms in discovering collections of environments that elicit diverse behaviors of a state-of-the-art RL agent and a planning agent.

Reinforcement Learning (RL)

Guidance Graph Optimization for Lifelong Multi-Agent Path Finding

no code implementations2 Feb 2024 Yulun Zhang, He Jiang, Varun Bhatt, Stefanos Nikolaidis, Jiaoyang Li

Empirically, we show that (1) our guidance graphs improve the throughput of three representative lifelong MAPF algorithms in four benchmark maps, and (2) our update model can generate guidance graphs for as large as $93 \times 91$ maps and as many as 3000 agents.

Multi-Agent Path Finding

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