Pablo Samuel Castro

ARM-FM: Automated Reward Machines via Foundation Models for Compositional Reinforcement Learning

Simplicial Embeddings Improve Sample Efficiency in Actor–Critic Agents

A Comedy of Estimators: On KL Regularization in RL Training of LLMs

Asymmetric Proximal Policy Optimization: mini-critics boost LLM reasoning

Align and Filter: Improving Performance in Asynchronous On-Policy RL

Stable Gradients for Stable Learning at Scale in Deep Reinforcement Learning

Discovering Symbolic Cognitive Models from Human and Animal Behavior

Don't flatten, tokenize! Unlocking the key to SoftMoE's efficacy in deep RL

Mind the GAP! The Challenges of Scale in Pixel-based Deep Reinforcement Learning

Measure gradients, not activations! Enhancing neuronal activity in deep reinforcement learning

Studying the Interplay Between the Actor and Critic Representations in Reinforcement Learning

The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning

Mitigating Plasticity Loss in Continual Reinforcement Learning by Reducing Churn

The Impact of On-Policy Parallelized Data Collection on Deep Reinforcement Learning Networks