Pulkit Agrawal

Publication Activity (10 Years)

Years Active: 2024-2024
Publications (10 Years): 21

Top Topics

Exploration Exploitation

Reinforcement Learning

Top Venues

Publications

Lars Ankile, Anthony Simeonov, Idan Shenfeld, Marcel Torne, Pulkit Agrawal
From Imitation to Refinement - Residual RL for Precise Visual Assembly. CoRR (2024)
Daniel Yang, Davin Tjia, Jacob Berg, Dima Damen, Pulkit Agrawal, Abhishek Gupta
Rank2Reward: Learning Shaped Reward Functions from Passive Video. CoRR (2024)
Tao Chen, Eric Cousineau, Naveen Kuppuswamy, Pulkit Agrawal
Vegetable Peeling: A Case Study in Constrained Dexterous Manipulation. CoRR (2024)
Changling Li, Zhang-Wei Hong, Pulkit Agrawal, Divyansh Garg, Joni Pajarinen
ROER: Regularized Optimal Experience Replay. CoRR (2024)
Younghyo Park, Gabriel B. Margolis, Pulkit Agrawal
Automatic Environment Shaping is the Next Frontier in RL. CoRR (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. ICLR (2024)
Tifanny Portela, Gabriel B. Margolis, Yandong Ji, Pulkit Agrawal
Learning Force Control for Legged Manipulation. ICRA (2024)
Zechu Li, Rickmer Krohn, Tao Chen, Anurag Ajay, Pulkit Agrawal, Georgia Chalvatzaki
Learning Multimodal Behaviors from Scratch with Diffusion Policy Gradient. CoRR (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 (2024)
Meenal Parakh, Alisha Fong, Anthony Simeonov, Tao Chen, Abhishek Gupta, Pulkit Agrawal
Lifelong Robot Learning with Human Assisted Language Planners. ICRA (2024)
Seungwook Han, Idan Shenfeld, Akash Srivastava, Yoon Kim, Pulkit Agrawal
Value Augmented Sampling for Language Model Alignment and Personalization. CoRR (2024)
Minyoung Huh, Brian Cheung, Jeremy Bernstein, Phillip Isola, Pulkit Agrawal
Training Neural Networks from Scratch with Parallel Low-Rank Adapters. CoRR (2024)
Srinath Mahankali, Zhang-Wei Hong, Ayush Sekhari, Alexander Rakhlin, Pulkit Agrawal
Random Latent Exploration for Deep Reinforcement Learning. CoRR (2024)
Gabriel B. Margolis, Ge Yang, Kartik Paigwar, Tao Chen, Pulkit Agrawal
Rapid locomotion via reinforcement learning. Int. J. Robotics Res. 43 (4) (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 (2024)
Lars Ankile, Anthony Simeonov, Idan Shenfeld, Pulkit Agrawal
JUICER: Data-Efficient Imitation Learning for Robotic Assembly. CoRR (2024)
Daniel Yang, Davin Tjia, Jacob Berg, Dima Damen, Pulkit Agrawal, Abhishek Gupta
Rank2Reward: Learning Shaped Reward Functions from Passive Video. ICRA (2024)
Tifanny Portela, Gabriel B. Margolis, Yandong Ji, Pulkit Agrawal
Learning Force Control for Legged Manipulation. CoRR (2024)
Srinath Mahankali, Chi-Chang Lee, Gabriel B. Margolis, Zhang-Wei Hong, Pulkit Agrawal
Maximizing Quadruped Velocity by Minimizing Energy. ICRA (2024)
Andreea Bobu, Andi Peng, Pulkit Agrawal, Julie A. Shah, Anca D. Dragan
Aligning Human and Robot Representations. HRI (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)