Joshua Achiam

1. Evaluating Large Language Models Trained on Code
   2021/07/07 by Mark Chen, Jerry Tworek, Chen, Mark +122 · 9 voices · 1219 citations
   Computer Science · #Parallel Computing and Optimization Techniques #Software Engineering Research #Topic Modeling #cs.LG
2. Constrained Policy Optimization
   2017/05/30 by Joshua Achiam, Achiam, Joshua, David Held +5 · 113 citations
   Computer Science · Engineering · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics #Robot Manipulation and Learning
3. On First-Order Meta-Learning Algorithms
   2018/03/08 by Alex Nichol, Joshua Achiam, Nichol, Alex +3 · 116 citations
   Computer Science · #Domain Adaptation and Few-Shot Learning #Machine Learning and Data Classification #Multimodal Machine Learning Applications
4. Responsive Safety in Reinforcement Learning by PID Lagrangian Methods
   2020/07/08 by Adam Stooke, Stooke, Adam, Joshua Achiam +3 · 19 citations
   Computer Science · Engineering · Physics and Astronomy · #Adaptive Dynamic Programming Control #Advanced Control Systems Optimization #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Optimization and Control (math.OC)
5. Rule Based Rewards for Language Model Safety
   2024/11/02 by Tong Mu, Alec Helyar, Mu, Tong +17 · 28 citations
   Computer Science · Engineering · Social Sciences · #Access Control and Trust #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Safety Systems Engineering in Autonomy #Software Reliability and Analysis Research
6. Surprise-Based Intrinsic Motivation for Deep Reinforcement Learning
   2017/03/06 by Joshua Achiam, Achiam, Joshua, S. Shankar Sastry +1 · 8 citations
   Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics
7. A Hazard Analysis Framework for Code Synthesis Large Language Models
   2022/07/25 by Heidy Khlaaf, Pamela Mishkin, Khlaaf, Heidy +7 · 1 voice · 1 citation
   Computer Science · #Software Engineering Research #Software System Performance and Reliability #Software Engineering Techniques and Practices
8. Towards Characterizing Divergence in Deep Q-Learning
   2019/03/21 by Joshua Achiam, Achiam, Joshua, Ethan Knight +3 · 12 citations
   Computer Science · #Domain Adaptation and Few-Shot Learning #Machine Learning and Data Classification #Face and Expression Recognition