Harshit Sikchi
10 papers · 2020–2025 · 5 venues · across top CS/AI venues
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reinforcement learning
(3)
imitation learning
(3)
inverse reinforcement learning
(2)
policy learning
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policy optimization
(1)
maximum entropy
(1)
sample efficiency
(1)
human feedback
(1)
direct preference optimization
(1)
off-policy learning
(1)
behavior cloning
(1)
online planning
(1)
trajectory optimization
(1)
model-based reinforcement learning
(1)
reward function
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preference learning
(1)
robot manipulation
(1)
mixture distribution
(1)
offline reinforcement learning
(1)
contrastive learning
(1)
Papers
An Optimal Discriminator Weighted Imitation Perspective for Reinforcement Learning
ICLR 2025
CREStE: Scalable Mapless Navigation with Internet Scale Priors and Counterfactual Guidance
RSS 2025
Proto Successor Measure: Representing the Behavior Space of an RL Agent
ICML 2025
A Dual Approach to Imitation Learning from Observations with Offline Datasets
CoRL 2024
Contrastive Preference Learning: Learning from Human Feedback without Reinforcement Learning
ICLR 2024
Dual RL: Unification and New Methods for Reinforcement and Imitation Learning
ICLR 2024
Scaling Laws for Reward Model Overoptimization in Direct Alignment Algorithms
NeurIPS 2024
Score Models for Offline Goal-Conditioned Reinforcement Learning
ICLR 2024
Learning Off-Policy with Online Planning
CoRL 2021
f-IRL: Inverse Reinforcement Learning via State Marginal Matching
CoRL 2020