Rahul Kidambi

1. MOReL : Model-Based Offline Reinforcement Learning
   2020/05/12 by Rahul Kidambi, Kidambi, Rahul, Aravind Rajeswaran +5 · 45 citations
   Computer Science · #Reinforcement Learning in Robotics #Adversarial Robustness in Machine Learning #Data Stream Mining Techniques
2. A Minimaximalist Approach to Reinforcement Learning from Human Feedback
   2024/01/08 by Gokul Swamy, Swamy, Gokul, Christoph Dann +7 · 1 voice · 13 citations
   Social Sciences · Decision Sciences · #Experimental Behavioral Economics Studies #Decision-Making and Behavioral Economics
3. The Step Decay Schedule: A Near Optimal, Geometrically Decaying Learning\n Rate Procedure For Least Squares
   2019/04/29 by Rong Ge, Ge, Rong, Sham M. Kakade +5 · 5 citations
   Computer Science · Engineering · Mathematics · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
4. Auctions with LLM Summaries
   2024/04/11 by Kumar Avinava Dubey, Dubey, Kumar Avinava, Zhe Feng +7 · 10 citations
   Decision Sciences · #Artificial Intelligence (cs.AI) #Auction Theory and Applications #Computer Science and Game Theory (cs.GT) #FOS: Computer and information sciences
5. Conditional Language Policy: A General Framework for Steerable Multi-Objective Finetuning
   2024/07/22 by Kaiwen Wang, Wang, Kaiwen, Rahul Kidambi +36 · 8 citations
   Arts and Humanities · Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Linguistic research and analysis #Machine Learning (cs.LG) #Natural Language Processing Techniques #Syntax, Semantics, Linguistic Variation
6. Leverage Score Sampling for Faster Accelerated Regression and ERM
   2017/11/22 by Naman Agarwal, Agarwal, Naman, Sham M. Kakade +9 · 2 citations
   Computer Science · Engineering · #Stochastic Gradient Optimization Techniques #Sparse and Compressive Sensing Techniques #Matrix Theory and Algorithms
7. Mitigating Covariate Shift in Imitation Learning via Offline Data Without Great Coverage
   2021/06/06 by Jonathan Chang, Masatoshi Uehara, Chang, Jonathan D. +7 · 3 citations
   Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Reinforcement Learning in Robotics