← Authors

Alfredo Garcia

8 papers · 2021–2025 · 6 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (6) 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (15) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (13) 🧭 Keyword Pioneer πŸ† Keyword Champion (2) πŸ”₯ Unstoppable (5)

Conferences

NIPS (3) AISTATS (1) CORL (1) ICLR (1) ICML (1) L4DC (1)

Top co-authors

Mingyi Hong (8) Siliang Zeng (7) Chenliang Li (6) Jiaxiang Li (2) Tianyi Chen (1) Shixiang Chen (1) Zeyi Liao (1) Hoi-To Wai (1) Ran Wei (1) Ruijia Zhang (1)

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