Acme: A Research Framework for Distributed Reinforcement Learning. - Matt Hoffman 001; Bobak Shahriari; John Aslanides; Gabriel Barth-Maron; Feryal M. P. Behbahani; Tamara Norman; Abbas Abdolmaleki; Albin Cassirer; Fan Yang; Kate Baumli; Sarah Henderson; Alexander Novikov 001; et al. (CoRR, 2020)

Relative Variational Intrinsic Control. - Kate Baumli; David Warde-Farley; Steven Hansen 001; Volodymyr Mnih (AAAI, 2021)

Self-Consistent Models and Values. - Gregory Farquhar; Kate Baumli; Zita Marinho; Angelos Filos; Matteo Hessel; Hado Philip van Hasselt; David Silver (NeurIPS, 2021)

Entropic Desired Dynamics for Intrinsic Control. - Steven Hansen 001; Guillaume Desjardins; Kate Baumli; David Warde-Farley; Nicolas Heess; Simon Osindero; Volodymyr Mnih (NeurIPS, 2021)

Learning more skills through optimistic exploration. - DJ Strouse; Kate Baumli; David Warde-Farley; Volodymyr Mnih; Steven Stenberg Hansen (ICLR, 2022)

Discovering Policies with DOMiNO: Diversity Optimization Maintaining Near Optimality. - Tom Zahavy; Yannick Schroecker; Feryal M. P. Behbahani; Kate Baumli; Sebastian Flennerhag; Shaobo Hou; Satinder Singh 001 (ICLR, 2023)

Human-Timescale Adaptation in an Open-Ended Task Space. - Jakob Bauer; Kate Baumli; Feryal M. P. Behbahani; Avishkar Bhoopchand; Nathalie Bradley-Schmieg; Michael Chang; Natalie Clay; Adrian Collister; Vibhavari Dasagi; Lucy Gonzalez; Karol Gregor; Edward Hughes 001; et al. (ICML, 2023)

Human-Timescale Adaptation in an Open-Ended Task Space. - Adaptive Agent Team; Jakob Bauer; Kate Baumli; Satinder Baveja; Feryal M. P. Behbahani; Avishkar Bhoopchand; Nathalie Bradley-Schmieg; Michael Chang; Natalie Clay; Adrian Collister; Vibhavari Dasagi; Lucy Gonzalez; et al. (CoRR, 2023)

Vision-Language Models as a Source of Rewards. - Kate Baumli; Satinder Baveja; Feryal M. P. Behbahani; Harris Chan; Gheorghe Comanici; Sebastian Flennerhag; Maxime Gazeau; Kristian Holsheimer; Dan Horgan; Michael Laskin; Clare Lyle; Hussain Masoom; et al. (CoRR, 2023)

Training Language Models to Self-Correct via Reinforcement Learning. - Aviral Kumar; Vincent Zhuang; Rishabh Agarwal; Yi Su; John D. Co-Reyes; Avi Singh; Kate Baumli; Shariq Iqbal; Colton Bishop; Rebecca Roelofs; Lei M. Zhang; Kay McKinney; et al. (ICLR, 2025)