Joshua Achiam

According to our database1, Joshua Achiam authored at least 10 papers between 2016 and 2024.

Collaborative distances:

Timeline

2016
2017
2018
2019
2020
2021
2022
2023
2024
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Legend:

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In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Rule Based Rewards for Language Model Safety.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2022
A Hazard Analysis Framework for Code Synthesis Large Language Models.
CoRR, 2022

2021
Evaluating Large Language Models Trained on Code.
CoRR, 2021

2020
Responsive Safety in Reinforcement Learning by PID Lagrangian Methods.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
Towards Characterizing Divergence in Deep Q-Learning.
CoRR, 2019

2018
Variational Option Discovery Algorithms.
CoRR, 2018

On First-Order Meta-Learning Algorithms.
CoRR, 2018

2017
Surprise-Based Intrinsic Motivation for Deep Reinforcement Learning.
CoRR, 2017

Constrained Policy Optimization.
Proceedings of the 34th International Conference on Machine Learning, 2017

2016
Easy Monotonic Policy Iteration.
CoRR, 2016


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