Gokul Swamy
20 papers · 2021–2026 · 6 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+7 more ↓ Show less ↑
🗺️ Taxonomy Completionist (50) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
🏆
Keyword Champion
(3)
🌈
Renaissance Researcher
(6)
🔥
Unstoppable · Bronze
❓
The Questioner
⚡
Prolific Year · Productive
💎
Century Club · Bronze
🗃️
Keyword Collector
(98)
Top co-authors
Research topics
Machine Learning
(14)
Reinforcement Learning
(13)
Methods
(13)
Learning Types · Machine Learning
(9)
Artificial Intelligence
(8)
Core AI
(8)
Deep Learning
(5)
Natural Language Processing
(4)
Learning Types · Deep Learning
(4)
Robotics
(3)
Capabilities
(3)
Optimization & Theory
(3)
Mathematics & Optimization
(2)
Application Areas
(2)
Applications
(2)
Keywords
imitation learning
(9)
continuous control
(4)
reinforcement learning
(4)
inverse reinforcement learning
(4)
policy optimization
(3)
compounding error
(3)
multi-task learning
(2)
vision-language model
(2)
large language model
(2)
language model
(2)
behavioral cloning
(2)
moment matching
(2)
policy gradient
(1)
game theory
(1)
transfer learning
(1)
robotic manipulation
(1)
sample efficiency
(1)
representation learning
(1)
preference optimization
(1)
language modeling
(1)
Papers
Gained in Translation: Privileged Pairwise Judges Enhance Multilingual Reasoning
ACL 2026
An Address Intelligence Framework for E-commerce Deliveries
EMNLP 2025
Diffusing States and Matching Scores: A New Framework for Imitation Learning
ICLR 2025
Efficient Imitation under Misspecification
ICLR 2025
From Foresight to Forethought: VLM-In-the-Loop Policy Steering via Latent Alignment
RSS 2025
Regressing the Relative Future: Efficient Policy Optimization for Multi-turn RLHF
ICLR 2025
VADE: Visual Attention Guided Hallucination Detection and Elimination
ACL 2025
A Minimaximalist Approach to Reinforcement Learning from Human Feedback
ICML 2024
EvIL: Evolution Strategies for Generalisable Imitation Learning
ICML 2024
Hybrid Inverse Reinforcement Learning
ICML 2024
Multi-Agent Imitation Learning: Value is Easy, Regret is Hard
NeurIPS 2024
REBEL: Reinforcement Learning via Regressing Relative Rewards
NeurIPS 2024
The Importance of Online Data: Understanding Preference Fine-tuning via Coverage
NeurIPS 2024
When is Transfer Learning Possible?
ICML 2024
Inverse Reinforcement Learning without Reinforcement Learning
ICML 2023
Learning Shared Safety Constraints from Multi-task Demonstrations
NeurIPS 2023
Causal Imitation Learning under Temporally Correlated Noise
ICML 2022
Minimax Optimal Online Imitation Learning via Replay Estimation
NeurIPS 2022
Sequence Model Imitation Learning with Unobserved Contexts
NeurIPS 2022
Of Moments and Matching: A Game-Theoretic Framework for Closing the Imitation Gap
ICML 2021