Kianté Brantley

Expressive Value Learning for Scalable Offline Reinforcement Learning

Breadcrumbs Reasoning: Memory-Efficient Reasoning with Compression Beacons

The Emergence of Complex Behavior in Large-Scale Ecological Environments

$Q\sharp$: Provably Optimal Distributional RL for LLM Post-Training

Accelerating RL for LLM Reasoning with Optimal Advantage Regression

$Q\sharp$: Provably Optimal Distributional RL for LLM Post-Training

Value-Guided Search for Efficient Chain-of-Thought Reasoning

Diffusing States and Matching Scores: A New Framework for Imitation Learning

Scaling Offline RL via Efficient and Expressive Shortcut Models

Regressing the Relative Future: Efficient Policy Optimization for Multi-turn RLHF

LLMs Are In-Context Bandit Reinforcement Learners

LLMs Are In-Context Reinforcement Learners