Search Results for author: Mohit Sharma

Found 17 papers, 4 papers with code

Generalizing Object-Centric Task-Axes Controllers using Keypoints

no code implementations18 Mar 2021 Mohit Sharma, Oliver Kroemer

We empirically evaluate our approach on multiple different manipulation tasks and show its ability to generalize to large variance in object size, shape and geometry.

Inverse Reinforcement Learning with Explicit Policy Estimates

no code implementations4 Mar 2021 Navyata Sanghvi, Shinnosuke Usami, Mohit Sharma, Joachim Groeger, Kris Kitani

Various methods for solving the inverse reinforcement learning (IRL) problem have been developed independently in machine learning and economics.

reinforcement-learning

Distant-Supervised Slot-Filling for E-Commerce Queries

no code implementations15 Dec 2020 Saurav Manchanda, Mohit Sharma, George Karypis

Slot-filling refers to the task of annotating individual terms in a query with the corresponding intended product characteristics (product type, brand, gender, size, color, etc.).

Slot Filling

Relational Learning for Skill Preconditions

no code implementations3 Dec 2020 Mohit Sharma, Oliver Kroemer

Our work is motivated by the intuition that many complex manipulation tasks, with multiple objects, can be simplified by focusing on less complex pairwise object relations.

Relational Reasoning

Learning to Compose Hierarchical Object-Centric Controllers for Robotic Manipulation

no code implementations9 Nov 2020 Mohit Sharma, Jacky Liang, Jialiang Zhao, Alex LaGrassa, Oliver Kroemer

Manipulation tasks can often be decomposed into multiple subtasks performed in parallel, e. g., sliding an object to a goal pose while maintaining contact with a table.

reinforcement-learning

Leveraging Multimodal Haptic Sensory Data for Robust Cutting

no code implementations27 Sep 2019 Kevin Zhang, Mohit Sharma, Manuela Veloso, Oliver Kroemer

In this paper, we propose using vibrations and force-torque feedback from the interactions to adapt the slicing motions and monitor for contact events.

DS-VIC: Unsupervised Discovery of Decision States for Transfer in RL

no code implementations25 Sep 2019 Nirbhay Modhe, Prithvijit Chattopadhyay, Mohit Sharma, Abhishek Das, Devi Parikh, Dhruv Batra, Ramakrishna Vedantam

We learn to identify decision states, namely the parsimonious set of states where decisions meaningfully affect the future states an agent can reach in an environment.

Intent term selection and refinement in e-commerce queries

1 code implementation22 Aug 2019 Saurav Manchanda, Mohit Sharma, George Karypis

Moreover, for the tasks of identifying the important terms in a query and for predicting the additional terms that represent product intent, experiments illustrate that our approaches outperform the non-contextual baselines.

An Attention Mechanism for Musical Instrument Recognition

1 code implementation9 Jul 2019 Siddharth Gururani, Mohit Sharma, Alexander Lerch

While the automatic recognition of musical instruments has seen significant progress, the task is still considered hard for music featuring multiple instruments as opposed to single instrument recordings.

Frame Instrument Recognition

Feature-based factorized Bilinear Similarity Model for Cold-Start Top-n Item Recommendation

no code implementations22 Apr 2019 Mohit Sharma, Jiayu Zhou, Junling Hu, George Karypis

The user personalized non-collaborative methods based on item features can be used to address this item cold-start problem.

Learning from Sets of Items in Recommender Systems

no code implementations22 Apr 2019 Mohit Sharma, F. Maxwell Harper, George Karypis

Our analysis of these ratings shows that though the majority of the users provide the average of the ratings on a set's constituent items as the rating on the set, there exists a significant number of users that tend to consistently either under- or over-rate the sets.

Collaborative Filtering Recommendation Systems

Adaptive Matrix Completion for the Users and the Items in Tail

1 code implementation22 Apr 2019 Mohit Sharma, George Karypis

In this work, we show that the skewed distribution of ratings in the user-item rating matrix of real-world datasets affects the accuracy of matrix-completion-based approaches.

Collaborative Filtering Low-Rank Matrix Completion +1

Directed-Info GAIL: Learning Hierarchical Policies from Unsegmented Demonstrations using Directed Information

no code implementations ICLR 2019 Arjun Sharma, Mohit Sharma, Nicholas Rhinehart, Kris M. Kitani

The use of imitation learning to learn a single policy for a complex task that has multiple modes or hierarchical structure can be challenging.

Imitation Learning

Inverse Reinforcement Learning with Conditional Choice Probabilities

no code implementations22 Sep 2017 Mohit Sharma, Kris M. Kitani, Joachim Groeger

We make an important connection to existing results in econometrics to describe an alternative formulation of inverse reinforcement learning (IRL).

Frame reinforcement-learning

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