Alfredo Garcia
8 papers · 2021–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (6) π£ Hot Topic Early Bird π Cross-Pollinator (15) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (13)
π§
Keyword Pioneer
π
Keyword Champion
(2)
π₯
Unstoppable
(5)
Conferences
NIPS (3)
AISTATS (1)
CORL (1)
ICLR (1)
ICML (1)
L4DC (1)
Top co-authors
Keywords
inverse reinforcement learning
(4)
finite-time guarantees
(2)
imitation learning
(2)
maximum likelihood
(2)
decentralized optimization
(1)
gradient descent
(1)
reward function
(1)
optimal policy
(1)
offline learning
(1)
reward function estimation
(1)
actor-critic algorithm
(1)
reward model
(1)
bi-level optimization
(1)
world model
(1)
supervised fine-tuning
(1)
robust policy
(1)
decentralized learning
(1)
stiefel manifold
(1)
finite-sample guarantee
(1)
llm alignment
(1)
Papers
Joint Reward and Policy Learning with Demonstrations and Human Feedback Improves Alignment
ICLR 2025
Understanding Inverse Reinforcement Learning under Overparameterization: Non-Asymptotic Analysis and Global Optimality
AISTATS 2025
Getting More Juice Out of the SFT Data: Reward Learning from Human Demonstration Improves SFT for LLM Alignment
NIPS 2024
When Demonstrations meet Generative World Models: A Maximum Likelihood Framework for Offline Inverse Reinforcement Learning
NIPS 2023
A Bayesian Approach to Robust Inverse Reinforcement Learning
CORL 2023
Learning to Coordinate in Multi-Agent Systems: A Coordinated Actor-Critic Algorithm and Finite-Time Guarantees
L4DC 2022
Maximum-Likelihood Inverse Reinforcement Learning with Finite-Time Guarantees
NIPS 2022
Decentralized Riemannian Gradient Descent on the Stiefel Manifold
ICML 2021