Sferrazza, Carmelo

7 publications

ICLR 2025 ActSafe: Active Exploration with Safety Constraints for Reinforcement Learning Yarden As, Bhavya Sukhija, Lenart Treven, Carmelo Sferrazza, Stelian Coros, Andreas Krause

NeurIPS 2025 Bigger, Regularized, Categorical: High-Capacity Value Functions Are Efficient Multi-Task Learners Michal Nauman, Marek Cygan, Carmelo Sferrazza, Aviral Kumar, Pieter Abbeel

ICLR 2025 MaxInfoRL: Boosting Exploration in Reinforcement Learning Through Information Gain Maximization Bhavya Sukhija, Stelian Coros, Andreas Krause, Pieter Abbeel, Carmelo Sferrazza

ICLRW 2025 Optimism via Intrinsic Rewards: Scalable and Principled Exploration for Model-Based Reinforcement Learning Bhavya Sukhija, Lenart Treven, Carmelo Sferrazza, Florian Dorfler, Pieter Abbeel, Andreas Krause

NeurIPS 2025 SOMBRL: Scalable and Optimistic Model-Based RL Bhavya Sukhija, Lenart Treven, Carmelo Sferrazza, Florian Dorfler, Pieter Abbeel, Andreas Krause

CoRL 2024 Body Transformer: Leveraging Robot Embodiment for Policy Learning Carmelo Sferrazza, Dun-Ming Huang, Fangchen Liu, Jongmin Lee, Pieter Abbeel

ICLR 2024 Chain of Hindsight Aligns Language Models with Feedback Hao Liu, Carmelo Sferrazza, Pieter Abbeel