Srivastava, Siddharth

41 publications

ICLR 2025 Autonomous Evaluation of LLMs for Truth Maintenance and Reasoning Tasks Rushang Karia, Daniel Richard Bramblett, Daksh Dobhal, Siddharth Srivastava

AAAI 2025 Autonomous Option Invention for Continual Hierarchical Reinforcement Learning and Planning Rashmeet Kaur Nayyar, Siddharth Srivastava

IJCAI 2025 Explain It as Simple as Possible, but No Simpler - Explanation via Model Simplification for Addressing Inferential Gap (Abstract Reprint) Sarath Sreedharan, Siddharth Srivastava, Subbarao Kambhampati

CoRL 2025 From Real World to Logic and Back: Learning Generalizable Relational Concepts for Long Horizon Robot Planning Naman Shah, Jayesh Nagpal, Siddharth Srivastava

ICCV 2025 Preserve Anything: Controllable Image Synthesis with Object Preservation Prasen Kumar Sharma, Neeraj Matiyali, Siddharth Srivastava, Gaurav Sharma

AAAI 2025 Using Explainable AI and Hierarchical Planning for Outreach with Robots Rushang Karia, Jayesh Nagpal, Daksh Dobhal, Pulkit Verma, Rashmeet Kaur Nayyar, Naman Shah, Siddharth Srivastava

NeurIPS 2024 Belief-State Query Policies for User-Aligned POMDPs Daniel Bramblett, Siddharth Srivastava

IJCAI 2024 Hierarchical Decompositions and Termination Analysis for Generalized Planning (Abstract Reprint) Siddharth Srivastava

AAAI 2024 Hierarchical Planning and Learning for Robots in Stochastic Settings Using Zero-Shot Option Invention Naman Shah, Siddharth Srivastava

CVPR 2024 OmniVec2 - A Novel Transformer Based Network for Large Scale Multimodal and Multitask Learning Siddharth Srivastava, Gaurav Sharma

WACV 2024 OmniVec: Learning Robust Representations with Cross Modal Sharing Siddharth Srivastava, Gaurav Sharma

NeurIPS 2023 Autonomous Capability Assessment of Sequential Decision-Making Systems in Stochastic Settings Pulkit Verma, Rushang Karia, Siddharth Srivastava

UAI 2023 Conditional Abstraction Trees for Sample-Efficient Reinforcement Learning Mehdi Dadvar, Rashmeet Kaur Nayyar, Siddharth Srivastava

NeurIPSW 2023 Epistemic Exploration for Generalizable Planning and Learning in Non-Stationary Stochastic Settings Rushang Karia, Pulkit Verma, Gaurav Vipat, Siddharth Srivastava

JAIR 2023 Hierarchical Decompositions and Termination Analysis for Generalized Planning Siddharth Srivastava

NeurIPSW 2023 Learning AI-System Capabilities Under Stochasticity Pulkit Verma, Rushang Karia, Gaurav Vipat, Anmol Gupta, Siddharth Srivastava

NeurIPSW 2023 Learning Generalizable Symbolic Options for Transfer in Reinforcement Learning Rashmeet Kaur Nayyar, Shivanshu Verma, Siddharth Srivastava

NeurIPSW 2023 Learning How to Create Generalizable Hierarchies for Robot Planning Naman Shah, Siddharth Srivastava

WACV 2022 Beyond Mono to Binaural: Generating Binaural Audio from Mono Audio with Depth and Cross Modal Attention Kranti Kumar Parida, Siddharth Srivastava, Gaurav Sharma

ICLR 2022 Bridging the Gap: Providing Post-Hoc Symbolic Explanations for Sequential Decision-Making Problems with Inscrutable Representations Sarath Sreedharan, Utkarsh Soni, Mudit Verma, Siddharth Srivastava, Subbarao Kambhampati

AAAI 2022 Differential Assessment of Black-Box AI Agents Rashmeet Kaur Nayyar, Pulkit Verma, Siddharth Srivastava

NeurIPS 2022 Learning Generalized Policy Automata for Relational Stochastic Shortest Path Problems Rushang Karia, Rashmeet Kaur Nayyar, Siddharth Srivastava

IJCAI 2022 Relational Abstractions for Generalized Reinforcement Learning on Symbolic Problems Rushang Karia, Siddharth Srivastava

ICLRW 2022 Using Deep Learning to Bootstrap Abstractions for Robot Planning Naman Shah, Siddharth Srivastava

AAAI 2021 Asking the Right Questions: Learning Interpretable Action Models Through Query Answering Pulkit Verma, Shashank Rao Marpally, Siddharth Srivastava

CVPR 2021 Beyond Image to Depth: Improving Depth Prediction Using Echoes Kranti Kumar Parida, Siddharth Srivastava, Gaurav Sharma

AAAI 2021 Learning Generalized Relational Heuristic Networks for Model-Agnostic Planning Rushang Karia, Siddharth Srivastava

AAAI 2021 Unifying Principles and Metrics for Safe and Assistive AI Siddharth Srivastava

AAAI 2019 A Unified Framework for Planning in Adversarial and Cooperative Environments Anagha Kulkarni, Siddharth Srivastava, Subbarao Kambhampati

IJCAI 2019 Why Can't You Do That HAL? Explaining Unsolvability of Planning Tasks Sarath Sreedharan, Siddharth Srivastava, David E. Smith, Subbarao Kambhampati

ICML 2018 Discrete-Continuous Mixtures in Probabilistic Programming: Generalized Semantics and Inference Algorithms Yi Wu, Siddharth Srivastava, Nicholas Hay, Simon Du, Stuart Russell

IJCAI 2018 Hierarchical Expertise Level Modeling for User Specific Contrastive Explanations Sarath Sreedharan, Siddharth Srivastava, Subbarao Kambhampati

WACV 2018 Large Scale Novel Object Discovery in 3D Siddharth Srivastava, Gaurav Sharma, Brejesh Lall

ICCVW 2017 Drought Stress Classification Using 3D Plant Models Siddharth Srivastava, Swati Bhugra, Brejesh Lall, Santanu Chaudhury

IJCAI 2016 Markovian State and Action Abstractions for MDPs via Hierarchical MCTS Aijun Bai, Siddharth Srivastava, Stuart Russell

AAAI 2016 Metaphysics of Planning Domain Descriptions Siddharth Srivastava, Stuart Russell, Alessandro Pinto

AAAI 2015 Tractability of Planning with Loops Siddharth Srivastava, Shlomo Zilberstein, Abhishek Gupta, Pieter Abbeel, Stuart Russell

UAI 2014 First-Order Open-Universe POMDPs Siddharth Srivastava, Stuart Russell, Paul Ruan, Xiang Cheng

AAAI 2011 Qualitative Numeric Planning Siddharth Srivastava, Shlomo Zilberstein, Neil Immerman, Hector Geffner

AAAI 2011 Termination and Correctness Analysis of Cyclic Control Siddharth Srivastava, Neil Immerman, Shlomo Zilberstein

AAAI 2008 Learning Generalized Plans Using Abstract Counting Siddharth Srivastava, Neil Immerman, Shlomo Zilberstein