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Harshit Sikchi — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Harshit Sikchi
15
papers ·
19
citations ·
4
h-index
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Most-cited papers
Lyapunov Barrier Policy Optimization
2021 · 9 citations
f-IRL: Inverse Reinforcement Learning via State Marginal Matching
2020 · 4 citations
Scaling Laws for Reward Model Overoptimization in Direct Alignment Algorithms
2024 · 3 citations
Contrastive Preference Learning: Learning from Human Feedback without RL
2023 · 2 citations
Learning Off-Policy with Online Planning
2020 · 1 citations
Regularized Latent Dynamics Prediction is a Strong Baseline For Behavioral Foundation Models
2026
Fast Adaptation with Behavioral Foundation Models
2025
Dual RL: Unification and New Methods for Reinforcement and Imitation Learning
2023
SMORE: Score Models for Offline Goal-Conditioned Reinforcement Learning
2023
Robot Air Hockey: A Manipulation Testbed for Robot Learning with Reinforcement Learning
2024
Proto Successor Measure: Representing the Behavior Space of an RL Agent
2024
RLZero: Direct Policy Inference from Language Without In-Domain Supervision
2024
Top co-authors
Scott Niekum
· 8
Siddhant Agarwal
· 4
Amy Zhang
· 3
Ahmed Touati
· 2
Caleb Chuck
· 2
Chelsea Finn
· 2
David Held
· 2
Joey Hejna
· 2
Max Rudolph
· 2
Peter Stone
· 2
Rafael Rafailov
· 2
Wenxuan Zhou
· 2
Topics
Offline RL
Model-Based RL
Policy Gradient
Meta-RL
Safe RL
Value-Based
Exploration
RLHF & Alignment
Game AI