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Scott Niekum

11 papers at tracked venues · 10 at CORE A* · active 2024–2025

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Venues

ICLR ×5NeurIPS ×4AAAI ×1AAMAS ×1

Frequent coauthors

Harshit Sikchi
×6
Amy Zhang
×6
Caleb Chuck
×4
Peter Stone
×3
W. Bradley Knox
×3
Siddhant Agarwal
×2
Joey Hejna
×2
Rafael Rafailov
×2
Chelsea Finn
×2
Haoran Xu
×1
Shuozhe Li
×1
Fan Feng
×1

Papers

  1. An Optimal Discriminator Weighted Imitation Perspective for Reinforcement Learning
    ICLR 2025 ·
    Haoran Xu
    ,
    Shuozhe Li
    ,
    Harshit Sikchi
    , Scott Niekum,
    Amy Zhang
  2. Null Counterfactual Factor Interactions for Goal-Conditioned Reinforcement Learning
    ICLR 2025 ·
    Caleb Chuck
    ,
    Fan Feng
    ,
    Carl Qi
    ,
    Chang Shi
    ,
    Siddhant Agarwal
    ,
    Amy Zhang
    , Scott Niekum
  3. RLZero: Direct Policy Inference from Language Without In-Domain Supervision
    NeurIPS 2025 ·
    Harshit Sikchi
    ,
    Siddhant Agarwal
    ,
    Pranaya Jajoo
    ,
    Samyak Parajuli
    ,
    Caleb Chuck
    ,
    Max Rudolph
    ,
    Peter Stone
    ,
    Amy Zhang
    , Scott Niekum
  4. Contrastive Preference Learning: Learning from Human Feedback without Reinforcement Learning
    ICLR 2024 ·
    Joey Hejna
    ,
    Rafael Rafailov
    ,
    Harshit Sikchi
    ,
    Chelsea Finn
    , Scott Niekum,
    W. Bradley Knox
    ,
    Dorsa Sadigh
  5. Dual RL: Unification and New Methods for Reinforcement and Imitation Learning
    ICLR 2024 ·
    Harshit Sikchi
    ,
    Qinqing Zheng
    ,
    Amy Zhang
    , Scott Niekum
  6. Gaze Supervision for Mitigating Causal Confusion in Driving Agents
    AAMAS 2024 ·
    Abhijat Biswas
    ,
    Badal Arun Pardhi
    ,
    Caleb Chuck
    ,
    Jarrett Holtz
    , Scott Niekum,
    Henny Admoni
    ,
    Alessandro Allievi
  7. Learning Optimal Advantage from Preferences and Mistaking It for Reward
    AAAI 2024 ·
    W. Bradley Knox
    ,
    Stephane Hatgis-Kessell
    ,
    Sigurdur O. Adalgeirsson
    ,
    Serena Booth
    ,
    Anca D. Dragan
    ,
    Peter Stone
    , Scott Niekum
  8. Predicting Future Actions of Reinforcement Learning Agents
    NeurIPS 2024 ·
    Stephen Chung
    , Scott Niekum,
    David Krueger
  9. Scaling Laws for Reward Model Overoptimization in Direct Alignment Algorithms
    NeurIPS 2024 ·
    Rafael Rafailov
    ,
    Yaswanth Chittepu
    ,
    Ryan Park
    ,
    Harshit Sikchi
    ,
    Joey Hejna
    ,
    W. Bradley Knox
    ,
    Chelsea Finn
    , Scott Niekum
  10. Score Models for Offline Goal-Conditioned Reinforcement Learning
    ICLR 2024 ·
    Harshit Sikchi
    ,
    Rohan Chitnis
    ,
    Ahmed Touati
    ,
    Alborz Geramifard
    ,
    Amy Zhang
    , Scott Niekum
  11. SkiLD: Unsupervised Skill Discovery Guided by Factor Interactions
    NeurIPS 2024 ·
    Zizhao Wang
    ,
    Jiaheng Hu
    ,
    Caleb Chuck
    ,
    Stephen Chen
    ,
    Roberto Martín-Martín
    ,
    Amy Zhang
    , Scott Niekum,
    Peter Stone