Josiah P. Hanna

Architectural Inductive Biases Can Be Enough for State Abstraction in Deep Reinforcement Learning

When Can Model-Free Reinforcement Learning be Enough for Thinking?

Demystifying the Paradox of Importance Sampling with an Estimated History-Dependent Behavior Policy in Off-Policy Evaluation

Stable Offline Value Function Learning with Bisimulation-based Representations

Stable Offline Value Function Learning with Bisimulation-based Representations

Replacing Implicit Regression with Classification in Policy Gradient Reinforcement Learning

On-Policy Policy Gradient Reinforcement Learning Without On-Policy Sampling

Pretraining Decision Transformers with Reward Prediction for In-Context Structured Bandit Learning