Sanjiban Choudhury

DeepAI AI Chat

Featured Co-authors

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83 publications
Aarti Singh
69 publications
Wen Sun
55 publications
Kannan Ramchandran
53 publications
J Andrew Bagnell
43 publications
Jiantao Jiao
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Ashish Kapoor
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Siddhartha S. Srinivasa
31 publications
Siddhartha Srinivasa
29 publications

research

∙ 05/26/2023

Demo2Code: From Summarizing Demonstrations to Synthesizing Code via Extended Chain-of-Thought

Language instructions and demonstrations are two natural ways for users ...

0 Huaxiaoyue Wang, et al. ∙

research

∙ 03/26/2023

Inverse Reinforcement Learning without Reinforcement Learning

Inverse Reinforcement Learning (IRL) is a powerful set of techniques for...

0 Gokul Swamy, et al. ∙

research

∙ 03/01/2023

The Virtues of Laziness in Model-based RL: A Unified Objective and Algorithms

We propose a novel approach to addressing two fundamental challenges in ...

0 Anirudh Vemula, et al. ∙

research

∙ 08/19/2022

Game-Theoretic Algorithms for Conditional Moment Matching

A variety of problems in econometrics and machine learning, including in...

0 Gokul Swamy, et al. ∙

research

∙ 08/03/2022

Sequence Model Imitation Learning with Unobserved Contexts

We consider imitation learning problems where the expert has access to a...

0 Gokul Swamy, et al. ∙

research

∙ 05/30/2022

Minimax Optimal Online Imitation Learning via Replay Estimation

Online imitation learning is the problem of how best to mimic expert dem...

0 Gokul Swamy, et al. ∙

research

∙ 02/02/2022

Causal Imitation Learning under Temporally Correlated Noise

We develop algorithms for imitation learning from policy data that was c...

0 Gokul Swamy, et al. ∙

research

∙ 10/05/2021

A Critique of Strictly Batch Imitation Learning

Recent work by Jarrett et al. attempts to frame the problem of offline i...

0 Gokul Swamy, et al. ∙

research

∙ 04/11/2021

Guided Incremental Local Densification for Accelerated Sampling-based Motion Planning

Sampling-based motion planners rely on incremental densification to disc...

0 Aditya Mandalika, et al. ∙

research

∙ 04/02/2021

Learning Online from Corrective Feedback: A Meta-Algorithm for Robotics

A key challenge in Imitation Learning (IL) is that optimal state actions...

0 Matthew Schmittle, et al. ∙

research

∙ 03/04/2021

Of Moments and Matching: Trade-offs and Treatments in Imitation Learning

We provide a unifying view of a large family of previous imitation learn...

0 Gokul Swamy, et al. ∙

research

∙ 02/04/2021

Feedback in Imitation Learning: The Three Regimes of Covariate Shift

Imitation learning practitioners have often noted that conditioning poli...

0 Jonathan Spencer, et al. ∙

research

∙ 12/10/2020

Blending MPC Value Function Approximation for Efficient Reinforcement Learning

Model-Predictive Control (MPC) is a powerful tool for controlling comple...

0 Mohak Bhardwaj, et al. ∙

research

∙ 02/27/2020

Posterior Sampling for Anytime Motion Planning on Graphs with Expensive-to-Evaluate Edges

Collision checking is a computational bottleneck in motion planning, req...

0 Brian Hou, et al. ∙

research

∙ 02/07/2020

Bayesian Residual Policy Optimization: Scalable Bayesian Reinforcement Learning with Clairvoyant Experts

Informed and robust decision making in the face of uncertainty is critic...

0 Gilwoo Lee, et al. ∙

research

∙ 10/15/2019

Autonomous Aerial Cinematography In Unstructured Environments With Learned Artistic Decision-Making

Aerial cinematography is revolutionizing industries that require live an...

24 Rogerio Bonatti, et al. ∙

research

∙ 08/21/2019

MuSHR: A Low-Cost, Open-Source Robotic Racecar for Education and Research

We present MuSHR, the Multi-agent System for non-Holonomic Racing. MuSHR...

0 Siddhartha S. Srinivasa, et al. ∙

research

∙ 07/22/2019

LEGO: Leveraging Experience in Roadmap Generation for Sampling-Based Planning

We consider the problem of leveraging prior experience to generate roadm...

0 Rahul Kumar, et al. ∙

research

∙ 07/16/2019

Leveraging Experience in Lazy Search

Lazy graph search algorithms are efficient at solving motion planning pr...

0 Mohak Bhardwaj, et al. ∙

research

∙ 05/30/2019

Imitation Learning as f-Divergence Minimization

We address the problem of imitation learning with multi-modal demonstrat...

9 Liyiming Ke, et al. ∙

research

∙ 04/04/2019

Generalized Lazy Search for Robot Motion Planning: Interleaving Search and Edge Evaluation via Event-based Toggles

Lazy search algorithms can efficiently solve problems where edge evaluat...

0 Aditya Mandalika, et al. ∙

research

∙ 04/04/2019

Towards a Robust Aerial Cinematography Platform: Localizing and Tracking Moving Targets in Unstructured Environments

The use of drones for aerial cinematography has revolutionized several a...

0 Rogerio Bonatti, et al. ∙

research

∙ 10/06/2018

Bayes-CPACE: PAC Optimal Exploration in Continuous Space Bayes-Adaptive Markov Decision Processes

We present the first PAC optimal algorithm for Bayes-Adaptive Markov Dec...

0 Gilwoo Lee, et al. ∙

research

∙ 08/28/2018

Autonomous drone cinematographer: Using artistic principles to create smooth, safe, occlusion-free trajectories for aerial filming

Autonomous aerial cinematography has the potential to enable automatic c...

10 Rogerio Bonatti, et al. ∙

research

∙ 04/07/2018

Hindsight is Only 50/50: Unsuitability of MDP based Approximate POMDP Solvers for Multi-resolution Information Gathering

Partially Observable Markov Decision Processes (POMDPs) offer an elegant...

0 Sankalp Arora, et al. ∙

research

∙ 11/20/2017

Bayesian Active Edge Evaluation on Expensive Graphs

Robots operate in environments with varying implicit structure. For inst...

0 Sanjiban Choudhury, et al. ∙

research

∙ 11/17/2017

Data-driven Planning via Imitation Learning

Robot planning is the process of selecting a sequence of actions that op...

0 Sanjiban Choudhury, et al. ∙

research

∙ 11/10/2017

Anytime Motion Planning on Large Dense Roadmaps with Expensive Edge Evaluations

We propose an algorithmic framework for efficient anytime motion plannin...

0 Shushman Choudhury, et al. ∙

research

∙ 07/10/2017

Learning Heuristic Search via Imitation

Robotic motion planning problems are typically solved by constructing a ...

0 Mohak Bhardwaj, et al. ∙

research

∙ 11/13/2016

Learning to Gather Information via Imitation

The budgeted information gathering problem - where a robot with a fixed ...

0 Sanjiban Choudhury, et al. ∙