Adam Gleave

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 31

Top Topics

Simple Examples

Markov Decision Process

State Variables

Reinforcement Learning

Top Venues

Publications

Adrià Garriga-Alonso, Mohammad Taufeeque, Adam Gleave
Planning behavior in a recurrent neural network that plays Sokoban. CoRR (2024)
Nikolaus H. R. Howe, Michal Zajac, Ian R. McKenzie, Oskar Hollinsworth, Tom Tseng, Pierre-Luc Bacon, Adam Gleave
Exploring Scaling Trends in LLM Robustness. CoRR (2024)
Joar Max Viktor Skalse, Lucy Farnik, Sumeet Ramesh Motwani, Erik Jenner, Adam Gleave, Alessandro Abate
STARC: A General Framework For Quantifying Differences Between Reward Functions. ICLR (2024)
Pedro Freire, ChengCheng Tan, Adam Gleave, Dan Hendrycks, Scott Emmons
Uncovering Latent Human Wellbeing in Language Model Embeddings. CoRR (2024)
Tom Tseng, Euan McLean, Kellin Pelrine, Tony T. Wang, Adam Gleave
Can Go AIs be adversarially robust? CoRR (2024)
Joar Skalse, Lucy Farnik, Sumeet Ramesh Motwani, Erik Jenner, Adam Gleave, Alessandro Abate
STARC: A General Framework For Quantifying Differences Between Reward Functions. CoRR (2023)
Tony Tong Wang, Adam Gleave, Tom Tseng, Kellin Pelrine, Nora Belrose, Joseph Miller, Michael D. Dennis, Yawen Duan, Viktor Pogrebniak, Sergey Levine, Stuart Russell
Adversarial Policies Beat Superhuman Go AIs. ICML (2023)
Kellin Pelrine, Mohammad Taufeeque, Michal Zajac, Euan McLean, Adam Gleave
Exploiting Novel GPT-4 APIs. CoRR (2023)
Joar Max Viktor Skalse, Matthew Farrugia-Roberts, Stuart Russell, Alessandro Abate, Adam Gleave
Invariance in Policy Optimisation and Partial Identifiability in Reward Learning. ICML (2023)
Lev McKinney, Yawen Duan, David Krueger, Adam Gleave
On The Fragility of Learned Reward Functions. CoRR (2023)
Erik Jenner, Adam Gleave
Preprocessing Reward Functions for Interpretability. CoRR (2022)
Tony Tong Wang, Adam Gleave, Nora Belrose, Tom Tseng, Joseph Miller, Michael D. Dennis, Yawen Duan, Viktor Pogrebniak, Sergey Levine, Stuart Russell
Adversarial Policies Beat Professional-Level Go AIs. CoRR (2022)
Erik Jenner, Herke van Hoof, Adam Gleave
Calculus on MDPs: Potential Shaping as a Gradient. CoRR (2022)
Joar Skalse, Matthew Farrugia-Roberts, Stuart Russell, Alessandro Abate, Adam Gleave
Invariance in Policy Optimisation and Partial Identifiability in Reward Learning. CoRR (2022)
Adam Gleave, Sam Toyer
A Primer on Maximum Causal Entropy Inverse Reinforcement Learning. CoRR (2022)
Adam Gleave, Geoffrey Irving
Uncertainty Estimation for Language Reward Models. CoRR (2022)
Adam Gleave, Mohammad Taufeeque, Juan Rocamonde, Erik Jenner, Steven H. Wang, Sam Toyer, Maximilian Ernestus, Nora Belrose, Scott Emmons, Stuart Russell
imitation: Clean Imitation Learning Implementations. CoRR (2022)
Pavel Czempin, Adam Gleave
Reducing Exploitability with Population Based Training. CoRR (2022)
Antonin Raffin, Ashley Hill, Adam Gleave, Anssi Kanervisto, Maximilian Ernestus, Noah Dormann
Stable-Baselines3: Reliable Reinforcement Learning Implementations. J. Mach. Learn. Res. 22 (2021)
Adam Gleave, Michael Dennis, Shane Legg, Stuart Russell, Jan Leike
Quantifying Differences in Reward Functions. ICLR (2021)
Eric J. Michaud, Adam Gleave, Stuart Russell
Understanding Learned Reward Functions. CoRR (2020)
Adam Gleave, Michael Dennis, Cody Wild, Neel Kant, Sergey Levine, Stuart Russell
Adversarial Policies: Attacking Deep Reinforcement Learning. ICLR (2020)
Adam Gleave, Michael Dennis, Shane Legg, Stuart Russell, Jan Leike
Quantifying Differences in Reward Functions. CoRR (2020)
Pedro Freire, Adam Gleave, Sam Toyer, Stuart Russell
DERAIL: Diagnostic Environments for Reward And Imitation Learning. CoRR (2020)
Adam Gleave, Michael Dennis, Neel Kant, Cody Wild, Sergey Levine, Stuart Russell
Adversarial Policies: Attacking Deep Reinforcement Learning. CoRR (2019)
Adam Gleave, Oliver Habryka
Multi-task Maximum Entropy Inverse Reinforcement Learning. CoRR (2018)
Aaron Tucker, Adam Gleave, Stuart Russell
Inverse reinforcement learning for video games. CoRR (2018)
Sören Mindermann, Rohin Shah, Adam Gleave, Dylan Hadfield-Menell
Active Inverse Reward Design. CoRR (2018)
Adam Gleave, Christian Steinruecken
Making compression algorithms for Unicode text. CoRR (2017)
Adam Gleave, Christian Steinruecken
Making Compression Algorithms for Unicode Text. DCC (2017)
Ionel Gog, Malte Schwarzkopf, Adam Gleave, Robert N. M. Watson, Steven Hand
Firmament: Fast, Centralized Cluster Scheduling at Scale. OSDI (2016)