Joshua Achiam - RankMe

13 papers A* 3Journal 10

Year	Rank	Type	Title / Venue / Authors
2024	A*	`conf`	Rule Based Rewards for Language Model Safety. NeurIPS Tong Mu, Alec Helyar, Johannes Heidecke, Joshua Achiam, Andrea Vallone, Ian Kivlichan, Molly Lin, Alex Beutel, John Schulman, Lilian Weng
2024	J	`jnl`	Rule Based Rewards for Language Model Safety. CoRR Tong Mu, Alec Helyar, Johannes Heidecke, Joshua Achiam, Andrea Vallone, Ian Kivlichan, Molly Lin, Alex Beutel, John Schulman, Lilian Weng
2022	J	`jnl`	A Hazard Analysis Framework for Code Synthesis Large Language Models. CoRR Heidy Khlaaf, Pamela Mishkin, Joshua Achiam, Gretchen Krueger, Miles Brundage
2021	J	`jnl`	Evaluating Large Language Models Trained on Code. CoRR Mark Chen, Jerry Tworek, Heewoo Jun, Qiming Yuan, Henrique Pondé de Oliveira Pinto, Jared Kaplan, Harri Edwards, Yuri Burda, Nicholas Joseph, Greg Brockman, Alex Ray, Raul Puri, Gretchen Krueger, Michael Petrov, Heidy Khlaaf, Girish Sastry, Pamela Mishkin, Brooke Chan, Scott Gray, Nick Ryder, Mikhail Pavlov, Alethea Power, Lukasz Kaiser, Mohammad Bavarian, Clemens Winter, Philippe Tillet, Felipe Petroski Such, Dave Cummings, Matthias Plappert, Fotios Chantzis, Elizabeth Barnes, Ariel Herbert-Voss, William Hebgen Guss, Alex Nichol, Alex Paino, Nikolas Tezak, Jie Tang, Igor Babuschkin, Suchir Balaji, Shantanu Jain, William Saunders, Christopher Hesse, Andrew N. Carr, Jan Leike, Joshua Achiam, Vedant Misra, Evan Morikawa, Alec Radford, Matthew Knight, Miles Brundage, Mira Murati, Katie Mayer, Peter Welinder, Bob McGrew, Dario Amodei, Sam McCandlish, Ilya Sutskever, Wojciech Zaremba
2020	A*	`conf`	Responsive Safety in Reinforcement Learning by PID Lagrangian Methods. ICML Adam Stooke, Joshua Achiam, Pieter Abbeel
2020	J	`jnl`	Responsive Safety in Reinforcement Learning by PID Lagrangian Methods. CoRR Adam Stooke, Joshua Achiam, Pieter Abbeel
2019	J	`jnl`	Towards Characterizing Divergence in Deep Q-Learning. CoRR Joshua Achiam, Ethan Knight, Pieter Abbeel
2018	J	`jnl`	On First-Order Meta-Learning Algorithms. CoRR Alex Nichol, Joshua Achiam, John Schulman
2018	J	`jnl`	Variational Option Discovery Algorithms. CoRR Joshua Achiam, Harrison Edwards, Dario Amodei, Pieter Abbeel
2017	A*	`conf`	Constrained Policy Optimization. ICML Joshua Achiam, David Held, Aviv Tamar, Pieter Abbeel
2017	J	`jnl`	Constrained Policy Optimization. CoRR Joshua Achiam, David Held, Aviv Tamar, Pieter Abbeel
2017	J	`jnl`	Surprise-Based Intrinsic Motivation for Deep Reinforcement Learning. CoRR Joshua Achiam, Shankar Sastry
2016	J	`jnl`	Easy Monotonic Policy Iteration. CoRR Joshua Achiam