Agarwal, Siddhant

11 publications

ICCV 2025 Clink! Chop! Thud! - Learning Object Sounds from Real-World Interactions Mengyu Yang, Yiming Chen, Haozheng Pei, Siddhant Agarwal, Arun Balajee Vasudevan, James Hays

NeurIPS 2025 Hybrid Latent Representations for PDE Emulation Ali Can Bekar, Siddhant Agarwal, Christian Hüttig, Nicola Tosi, David S. Greenberg

ICLR 2025 Null Counterfactual Factor Interactions for Goal-Conditioned Reinforcement Learning Caleb Chuck, Fan Feng, Carl Qi, Chang Shi, Siddhant Agarwal, Amy Zhang, Scott Niekum

ICML 2025 Proto Successor Measure: Representing the Behavior Space of an RL Agent Siddhant Agarwal, Harshit Sikchi, Peter Stone, Amy Zhang

ICLRW 2025 RL Zero: Zero-Shot Language to Behaviors Without Any Supervision Harshit Sikchi, Siddhant Agarwal, Pranaya Jajoo, Samyak Parajuli, Caleb Chuck, Max Rudolph, Peter Stone, Amy Zhang, Scott Niekum

NeurIPS 2025 RLZero: Direct Policy Inference from Language Without In-Domain Supervision Harshit Sikchi, Siddhant Agarwal, Pranaya Jajoo, Samyak Parajuli, Caleb Chuck, Max Rudolph, Peter Stone, Amy Zhang, Scott Niekum

NeurIPS 2023 F-Policy Gradients: A General Framework for Goal-Conditioned RL Using F-Divergences Siddhant Agarwal, Ishan Durugkar, Peter Stone, Amy Zhang

AAAI 2023 What Do You MEME? Generating Explanations for Visual Semantic Role Labelling in Memes Shivam Sharma, Siddhant Agarwal, Tharun Suresh, Preslav Nakov, Md. Shad Akhtar, Tanmoy Chakraborty

NeurIPSW 2021 Behavior Predictive Representations for Generalization in Reinforcement Learning Siddhant Agarwal, Aaron Courville, Rishabh Agarwal

ICLR 2021 Learning to Deceive Knowledge Graph Augmented Models via Targeted Perturbation Mrigank Raman, Aaron Chan, Siddhant Agarwal, PeiFeng Wang, Hansen Wang, Sungchul Kim, Ryan Rossi, Handong Zhao, Nedim Lipka, Xiang Ren

NeurIPSW 2021 Reinforcement Explanation Learning Siddhant Agarwal, Owais Iqbal, Sree Aditya Buridi, Madda Manjusha, Abir Das