Weng, Lilian

Learning dexterous in-hand manipulation

Andrychowicz, O. M., Baker, B., Chociej, M., Józefowicz, R., McGrew, B., Pachocki, J., Petron, A., Plappert, M., Powell, G., Ray, A., et al. (2020) · The International Journal of Robotics Research

Reinforcement Learning in RoboticsRobot Manipulation and Learning

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Solving Rubik's Cube with a Robot Hand

OpenAI, Akkaya, I., Andrychowicz, M., Chociej, M., Litwin, M., McGrew, B., Petron, A., Paino, A., Plappert, M., Powell, G., et al. (2019) · arXiv

Reinforcement Learning in RoboticsRobot Manipulation and Learning

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Exploration in deep reinforcement learning: A survey

Ladosz, P., Weng, L., Kim, M., & Oh, H. (2022) · Information Fusion

Reinforcement Learning in RoboticsAdvanced Bandit Algorithms Research

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Learning Dexterous In-Hand Manipulation

OpenAI, Andrychowicz, M., Baker, B., Chociej, M., Jozefowicz, R., McGrew, B., Pachocki, J., Petron, A., Plappert, M., Powell, G., et al. (2018) · arXiv

Reinforcement Learning in RoboticsRobot Manipulation and Learning

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GPT-4o System Card

OpenAI, :, Hurst, A., Lerer, A., Goucher, A. P., Perelman, A., Ramesh, A., Clark, A., Ostrow, A., Welihinda, A., et al. (2024) · arXiv

Multimodal Machine Learning ApplicationsTopic Modeling

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A Holistic Approach to Undesired Content Detection in the Real World

Markov, T., Zhang, C., Agarwal, S., Eloundou, T., Lee, T., Adler, S., Jiang, A., & Weng, L. (2022) · arXiv

Hate Speech and Cyberbullying DetectionText and Document Classification Technologies

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Automatic Curriculum Learning For Deep RL: A Short Survey

Portelas, R., Colas, C., Weng, L., Hofmann, K., & Oudeyer, P.-Y. (2020) · Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

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OpenAI o1 System Card

OpenAI, :, Jaech, A., Kalai, A., Lerer, A., Richardson, A., El-Kishky, A., Low, A., Helyar, A., Madry, A., et al. (2024) · arXiv

Adversarial Robustness in Machine LearningEthics and Social Impacts of AI

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Asymmetric self-play for automatic goal discovery in robotic manipulation

OpenAI, O., Plappert, M., Sampedro, R., Xu, T., Akkaya, I., Kosaraju, V., Welinder, P., D'Sa, R., Petron, A., Pinto, H. P. D. O., et al. (2021) · arXiv

Reinforcement Learning in RoboticsRobot Manipulation and Learning

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Rule Based Rewards for Language Model Safety

Mu, T., Helyar, A., Heidecke, J., Achiam, J., Vallone, A., Kivlichan, I., Lin, M., Beutel, A., Schulman, J., & Weng, L. (2024) · Advances in Neural Information Processing Systems 37

Ethics and Social Impacts of AIAdversarial Robustness in Machine Learning

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The Instruction Hierarchy: Training LLMs to Prioritize Privileged Instructions

Wallace, E., Xiao, K., Leike, R., Weng, L., Heidecke, J., & Beutel, A. (2024) · arXiv

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

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MLE-bench: Evaluating Machine Learning Agents on Machine Learning Engineering

Chan, J. S., Chowdhury, N., Jaffe, O., Aung, J., Sherburn, D., Mays, E., Starace, G., Liu, K., Maksin, L., Patwardhan, T., et al. (2024) · arXiv

AI-based Problem Solving and PlanningMachine Learning and Algorithms

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