Siddhant Agarwal

28 papers A* 7C 1Journal 18Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	MAMA-Memeia! Multi-Aspect Multi-Agent Collaboration for Depressive Symptoms Identification in Memes. AAAI Siddhant Agarwal, Adya Dhuler, Polly Ruhnke, Melvin Speisman, Md. Shad Akhtar, Shweta Yadav
2026	J	`jnl`	Regularized Latent Dynamics Prediction is a Strong Baseline For Behavioral Foundation Models. CoRR Pranaya Jajoo, Harshit Sikchi, Siddhant Agarwal, Amy Zhang, Scott Niekum, Martha White
2025	J	`jnl`	Clink! Chop! Thud! - Learning Object Sounds from Real-World Interactions. CoRR Mengyu Yang, Yiming Chen, Haozheng Pei, Siddhant Agarwal, Arun Balajee Vasudevan, James Hays
2025	J	`jnl`	MAMA-Memeia! Multi-Aspect Multi-Agent Collaboration for Depressive Symptoms Identification in Memes. CoRR Siddhant Agarwal, Adya Dhuler, Polly Ruhnke, Melvin Speisman, Md. Shad Akhtar, Shweta Yadav
2025	A*	`conf`	Null Counterfactual Factor Interactions for Goal-Conditioned Reinforcement Learning. ICLR Caleb Chuck, Fan Feng, Carl Qi, Chang Shi, Siddhant Agarwal, Amy Zhang, Scott Niekum
2025	J	`jnl`	Null Counterfactual Factor Interactions for Goal-Conditioned Reinforcement Learning. CoRR Caleb Chuck, Fan Feng, Carl Qi, Chang Shi, Siddhant Agarwal, Amy Zhang, Scott Niekum
2025	J	`jnl`	Physics-based machine learning for mantle convection simulations. CoRR Siddhant Agarwal, Ali Can Bekar, Christian Hüttig, David S. Greenberg, Nicola Tosi
2025	A*	`conf`	Proto Successor Measure: Representing the Behavior Space of an RL Agent. ICML Siddhant Agarwal, Harshit Sikchi, Peter Stone, Amy Zhang
2025	A*	`conf`	Reinforcement Learning Within the Classical Robotics Stack: A Case Study in Robot Soccer. ICRA Adam Labiosa, Zhihan Wang, Siddhant Agarwal, William Cong, Geethika Hemkumar, Abhinav Narayan Harish, Benjamin Hong, Josh Kelle, Chen Li, Yuhao Li, Zisen Shao, Peter Stone, Josiah P. Hanna
2024	J	`jnl`	Accelerating the discovery of steady-states of planetary interior dynamics with machine learning. CoRR Siddhant Agarwal, Nicola Tosi, Christian Hüttig, David S. Greenberg, Ali Can Bekar
2024	J	`jnl`	Aero-Nef: Neural Fields for Rapid Aircraft Aerodynamics Simulations. CoRR Giovanni Catalani, Siddhant Agarwal, Xavier Bertrand, Frederic Tost, Michael Bauerheim, Joseph Morlier
2024	—	`conf`	MemeMQA: Multimodal Question Answering for Memes via Rationale-Based Inferencing. ACL (Findings) Siddhant Agarwal, Shivam Sharma, Preslav Nakov, Tanmoy Chakraborty
2024	J	`jnl`	MemeMQA: Multimodal Question Answering for Memes via Rationale-Based Inferencing. CoRR Siddhant Agarwal, Shivam Sharma, Preslav Nakov, Tanmoy Chakraborty
2024	J	`jnl`	Proto Successor Measure: Representing the Space of All Possible Solutions of Reinforcement Learning. CoRR Siddhant Agarwal, Harshit Sikchi, Peter Stone, Amy Zhang
2024	J	`jnl`	RL Zero: Zero-Shot Language to Behaviors without any Supervision. CoRR Harshit Sikchi, Siddhant Agarwal, Pranaya Jajoo, Samyak Parajuli, Caleb Chuck, Max Rudolph, Peter Stone, Amy Zhang, Scott Niekum
2024	J	`jnl`	Reinforcement Learning Within the Classical Robotics Stack: A Case Study in Robot Soccer. CoRR Adam Labiosa, Zhihan Wang, Siddhant Agarwal, William Cong, Geethika Hemkumar, Abhinav Narayan Harish, Benjamin Hong, Josh Kelle, Chen Li, Yuhao Li, Zisen Shao, Peter Stone, Josiah P. Hanna
2024	J	`jnl`	Robot Air Hockey: A Manipulation Testbed for Robot Learning with Reinforcement Learning. CoRR Caleb Chuck, Carl Qi, Michael J. Munje, Shuozhe Li, Max Rudolph, Chang Shi, Siddhant Agarwal, Harshit Sikchi, Abhinav Peri, Sarthak Dayal, Evan Kuo, Kavan Mehta, Anthony Wang, Peter Stone, Amy Zhang, Scott Niekum
2023	A*	`conf`	What Do You MEME? Generating Explanations for Visual Semantic Role Labelling in Memes. AAAI Shivam Sharma, Siddhant Agarwal, Tharun Suresh, Preslav Nakov, Md. Shad Akhtar, Tanmoy Chakraborty
2023	J	`jnl`	f-Policy Gradients: A General Framework for Goal Conditioned RL using f-Divergences. CoRR Siddhant Agarwal, Ishan Durugkar, Peter Stone, Amy Zhang
2023	A*	`conf`	f-Policy Gradients: A General Framework for Goal-Conditioned RL using f-Divergences. NeurIPS Siddhant Agarwal, Ishan Durugkar, Peter Stone, Amy Zhang
2022	J	`jnl`	What do you MEME? Generating Explanations for Visual Semantic Role Labelling in Memes. CoRR Shivam Sharma, Siddhant Agarwal, Tharun Suresh, Preslav Nakov, Md. Shad Akhtar, Tanmoy Chakraborty
2021	J	`jnl`	Deep learning for surrogate modelling of 2D mantle convection. CoRR Siddhant Agarwal, Nicola Tosi, Pan Kessel, Doris Breuer, Grégoire Montavon
2021	A*	`conf`	Learning to Deceive Knowledge Graph Augmented Models via Targeted Perturbation. ICLR Mrigank Raman, Aaron Chan, Siddhant Agarwal, Peifeng Wang, Hansen Wang, Sungchul Kim, Ryan A. Rossi, Handong Zhao, Nedim Lipka, Xiang Ren
2021	J	`jnl`	Reinforcement Explanation Learning. CoRR Siddhant Agarwal, Owais Iqbal, Sree Aditya Buridi, Madda Manjusha, Abir Das
2020	J	`jnl`	Learning to Deceive Knowledge Graph Augmented Models via Targeted Perturbation. CoRR Mrigank Raman, Siddhant Agarwal, Peifeng Wang, Aaron Chan, Hansen Wang, Sungchul Kim, Ryan A. Rossi, Handong Zhao, Nedim Lipka, Xiang Ren
2020	J	`jnl`	Poisoned classifiers are not only backdoored, they are fundamentally broken. CoRR Mingjie Sun, Siddhant Agarwal, J. Zico Kolter
2019	C	`conf`	Traffic Sign Classification using Hybrid HOG-SURF Features and Convolutional Neural Networks. ICPRAM Rishabh Madan, Deepank Agrawal, Shreyas Kowshik, Harsh Maheshwari, Siddhant Agarwal, Debashish Chakravarty
2016	—	`conf`	Intuitionistic fuzzy ant colony optimization for course sequencing in E-learning. IC3 Siddhant Agarwal, Mukta Goyal, Adarsh Kumar, K. Rajalakshmi