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Author search results
Exact matches
- Pulkit Agrawal
- Pulkit Agrawal 0001
Massachusetts Institute of Technology, Cambridge, MA, USA - Pulkit Agrawal 0002
Apple Inc., Cupertino, CA, USA - Pulkit Agrawal 0003
University of California San Diego, CA, USA - Pulkit Agrawal 0004
Games24x7, India
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Publication search results
found 166 matches
- 2024
- Gabriel B. Margolis
, Ge Yang, Kartik Paigwar, Tao Chen, Pulkit Agrawal
:
Rapid locomotion via reinforcement learning. Int. J. Robotics Res. 43(4): 572-587 (2024) - Jaedong Hwang, Zhang-Wei Hong, Eric Chen, Akhilan Boopathy, Pulkit Agrawal, Ila R. Fiete:
Grid Cell-Inspired Fragmentation and Recall for Efficient Map Building. Trans. Mach. Learn. Res. 2024 (2024) - Chang Eun Song, Yidong Li, Amardeep Ramnani, Pulkit Agrawal, Purvi Agrawal, Sung-Joon Jang, Sang-Seol Lee, Tajana Rosing, Mingu Kang:
52.5 TOPS/W 1.7GHz Reconfigurable XGBoost Inference Accelerator Based on Modular-Unit-Tree with Dynamic Data and Compute Gating. CICC 2024: 1-2 - Pulkit Agrawal
, Aditya Pareek
, Rukma Talwadker
, Tridib Mukherjee
:
ARGO - An AI Based Responsible Gamification Framework for Online Skill Gaming Platform. COMAD/CODS 2024: 412-421 - Andreea Bobu
, Andi Peng
, Pulkit Agrawal
, Julie A. Shah
, Anca D. Dragan
:
Aligning Human and Robot Representations. HRI 2024: 42-54 - Zhang-Wei Hong, Idan Shenfeld, Tsun-Hsuan Wang, Yung-Sung Chuang, Aldo Pareja, James R. Glass, Akash Srivastava, Pulkit Agrawal:
Curiosity-driven Red-teaming for Large Language Models. ICLR 2024 - Srinath Mahankali, Zhang-Wei Hong, Ayush Sekhari, Alexander Rakhlin, Pulkit Agrawal:
Random Latent Exploration for Deep Reinforcement Learning. ICML 2024 - Younghyo Park, Gabriel B. Margolis, Pulkit Agrawal:
Position: Automatic Environment Shaping is the Next Frontier in RL. ICML 2024 - Srinath Mahankali, Chi-Chang Lee, Gabriel B. Margolis, Zhang-Wei Hong, Pulkit Agrawal:
Maximizing Quadruped Velocity by Minimizing Energy. ICRA 2024: 11467-11473 - Rubén Castro Ornelas, Tomás Cantú, Isabel Sperandio, Alexander H. Slocum, Pulkit Agrawal:
Everyday finger: a robotic finger that meets the needs of everyday interactive manipulation. ICRA 2024: 16016-16023 - Meenal Parakh, Alisha Fong, Anthony Simeonov, Tao Chen, Abhishek Gupta, Pulkit Agrawal:
Lifelong Robot Learning with Human Assisted Language Planners. ICRA 2024: 523-529 - Tifanny Portela, Gabriel B. Margolis, Yandong Ji, Pulkit Agrawal:
Learning Force Control for Legged Manipulation. ICRA 2024: 15366-15372 - Daniel Yang, Davin Tjia, Jacob Berg, Dima Damen, Pulkit Agrawal, Abhishek Gupta:
Rank2Reward: Learning Shaped Reward Functions from Passive Video. ICRA 2024: 2806-2813 - Hussain Jagirdar, Rukma Talwadker, Aditya Pareek, Pulkit Agrawal, Tridib Mukherjee:
Explainable and Interpretable Forecasts on Non-Smooth Multivariate Time Series for Responsible Gameplay. KDD 2024: 5126-5137 - Minyoung Huh, Brian Cheung, Jeremy Bernstein, Phillip Isola, Pulkit Agrawal:
Training Neural Networks from Scratch with Parallel Low-Rank Adapters. CoRR abs/2402.16828 (2024) - Zhang-Wei Hong, Idan Shenfeld, Tsun-Hsuan Wang, Yung-Sung Chuang, Aldo Pareja, James R. Glass, Akash Srivastava, Pulkit Agrawal:
Curiosity-driven Red-teaming for Large Language Models. CoRR abs/2402.19464 (2024) - Marcel Torne, Anthony Simeonov, Zechu Li, April Chan, Tao Chen, Abhishek Gupta, Pulkit Agrawal:
Reconciling Reality through Simulation: A Real-to-Sim-to-Real Approach for Robust Manipulation. CoRR abs/2403.03949 (2024) - Lars Ankile, Anthony Simeonov, Idan Shenfeld, Pulkit Agrawal:
JUICER: Data-Efficient Imitation Learning for Robotic Assembly. CoRR abs/2404.03729 (2024) - Daniel Yang, Davin Tjia, Jacob Berg, Dima Damen, Pulkit Agrawal, Abhishek Gupta:
Rank2Reward: Learning Shaped Reward Functions from Passive Video. CoRR abs/2404.14735 (2024) - Tifanny Portela, Gabriel B. Margolis, Yandong Ji, Pulkit Agrawal:
Learning Force Control for Legged Manipulation. CoRR abs/2405.01402 (2024) - Seungwook Han, Idan Shenfeld, Akash Srivastava, Yoon Kim, Pulkit Agrawal:
Value Augmented Sampling for Language Model Alignment and Personalization. CoRR abs/2405.06639 (2024) - Zechu Li, Rickmer Krohn, Tao Chen, Anurag Ajay, Pulkit Agrawal, Georgia Chalvatzaki:
Learning Multimodal Behaviors from Scratch with Diffusion Policy Gradient. CoRR abs/2406.00681 (2024) - Changling Li, Zhang-Wei Hong, Pulkit Agrawal, Divyansh Garg, Joni Pajarinen:
ROER: Regularized Optimal Experience Replay. CoRR abs/2407.03995 (2024) - Tao Chen, Eric Cousineau, Naveen Kuppuswamy, Pulkit Agrawal:
Vegetable Peeling: A Case Study in Constrained Dexterous Manipulation. CoRR abs/2407.07884 (2024) - Srinath Mahankali, Zhang-Wei Hong, Ayush Sekhari, Alexander Rakhlin, Pulkit Agrawal:
Random Latent Exploration for Deep Reinforcement Learning. CoRR abs/2407.13755 (2024) - Younghyo Park, Gabriel B. Margolis, Pulkit Agrawal:
Automatic Environment Shaping is the Next Frontier in RL. CoRR abs/2407.16186 (2024) - Lars Ankile, Anthony Simeonov, Idan Shenfeld, Marcel Torne, Pulkit Agrawal:
From Imitation to Refinement - Residual RL for Precise Visual Assembly. CoRR abs/2407.16677 (2024) - 2023
- Tao Chen
, Megha Tippur, Siyang Wu
, Vikash Kumar
, Edward H. Adelson, Pulkit Agrawal
:
Visual dexterity: In-hand reorientation of novel and complex object shapes. Sci. Robotics 8(84) (2023) - Minyoung Huh, Hossein Mobahi, Richard Zhang, Brian Cheung, Pulkit Agrawal, Phillip Isola:
The Low-Rank Simplicity Bias in Deep Networks. Trans. Mach. Learn. Res. 2023 (2023) - Max Balsells, Marcel Torne Villasevil, Zihan Wang, Samedh Desai, Pulkit Agrawal, Abhishek Gupta:
Autonomous Robotic Reinforcement Learning with Asynchronous Human Feedback. CoRL 2023: 774-799
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