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[reading] “You and Your Research” by Richard Hamming
Published:
A talk by Richard Hamming for guiding you on your research. This talk is about how you individually do a great research, and how you managing your research.
[reading] How to Write Your PhD Proposal: A Step-By-Step Guide
Published:
A well-structured PhD proposal is the first step toward a successful research journey. Dr. Qais Faryadi’s “How to Write Your PhD Proposal” outlines a methodical approach to crafting proposals that stand up to academic scrutiny. Here’s an in-depth look at the essential steps and tips highlighted by Dr. Faryadi.
[reading] Reinforcement and Imitation Learning via Interactive No-Regret Learning
Published:
The paper presents new methods for imitation and reinforcement learning that leverage cost-to-go information within an interactive no-regret learning framework. Key contributions include the AGGREVATE algorithm for imitation learning and a related algorithm for reinforcement learning, both offering strong theoretical guarantees.
publications
CRLLK: Constrained Reinforcement Learning for Lane Keeping in Autonomous Driving
Published in AAMAS 2025, Detroit, Michigan, USA, 2025
We modeled the problem of lane-keeping as a constrained optimization problem and presented a constrained RL based solution to the problem. The weight coefficients are adaptively learned without scenario-specific tuning and grid search. Empirically, we observe that our approach surpasses traditional RL-based approaches.
Recommended citation: Xinwei Gao, Arambam James Singh, Gangadhar Royyuru, Michael Yuhas, and Arvind Easwaran. 2025. CRLLK: Constrained Reinforcement Learning for Lane Keeping in Autonomous Driving. In Proc. of the 24th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2025), Detroit, Michigan, USA, May 19 – 23, 2025, IFAAMAS, 5 pages.