RoboCup 2013 Humanoid Kidsize League Winner. - Daniel D. Lee; Seung-Joon Yi; Stephen G. McGill; Yida Zhang; Larry Vadakedathu; Samarth Brahmbhatt; Richa Agrawal; Vibhavari Dasagi (RoboCup, 2013)

Zero-shot Sim-to-Real Transfer with Modular Priors. - Robert Lee; Serena Mou; Vibhavari Dasagi; Jake Bruce; Jürgen Leitner; Niko Sünderhauf (CoRR, 2018)

Ctrl-Z: Recovering from Instability in Reinforcement Learning. - Vibhavari Dasagi; Jake Bruce; Thierry Peynot; Jürgen Leitner (CoRR, 2019)

Evaluating task-agnostic exploration for fixed-batch learning of arbitrary future tasks. - Vibhavari Dasagi; Robert Lee; Jake Bruce; Jürgen Leitner (CoRR, 2019)

Learning Arbitrary-Goal Fabric Folding with One Hour of Real Robot Experience. - Robert Lee; Daniel Ward; Vibhavari Dasagi; Akansel Cosgun; Juxi Leitner; Peter Corke (CoRL, 2020)

Residual Reactive Navigation: Combining Classical and Learned Navigation Strategies For Deployment in Unknown Environments. - Krishan Rana; Ben Talbot; Vibhavari Dasagi; Michael Milford; Niko Sünderhauf (ICRA, 2020)

Multiplicative Controller Fusion: Leveraging Algorithmic Priors for Sample-efficient Reinforcement Learning and Safe Sim-To-Real Transfer. - Krishan Rana; Vibhavari Dasagi; Ben Talbot; Michael Milford; Niko Sünderhauf (IROS, 2020)

Multiplicative Controller Fusion: A Hybrid Navigation Strategy For Deployment in Unknown Environments. - Krishan Rana; Vibhavari Dasagi; Ben Talbot; Michael Milford; Niko Sünderhauf (CoRR, 2020)

Is Curiosity All You Need? On the Utility of Emergent Behaviours from Curious Exploration. - Oliver Groth; Markus Wulfmeier; Giulia Vezzani; Vibhavari Dasagi; Tim Hertweck; Roland Hafner; Nicolas Heess; Martin A. Riedmiller (CoRR, 2021)

Zero-Shot Uncertainty-Aware Deployment of Simulation Trained Policies on Real-World Robots. - Krishan Rana; Vibhavari Dasagi; Jesse Haviland; Ben Talbot; Michael Milford; Niko Sünderhauf (CoRR, 2021)

Developing, evaluating and scaling learning agents in multi-agent environments. - Ian Gemp; Thomas W. Anthony 001; Yoram Bachrach; Avishkar Bhoopchand; Kalesha Bullard; Jerome T. Connor; Vibhavari Dasagi; Bart De Vylder; Edgar A. Duéñez-Guzmán; Romuald Elie; Richard Everett 001; Daniel Hennes; et al. (AI Commun., 2022)

The Challenges of Exploration for Offline Reinforcement Learning. - Nathan Lambert 001; Markus Wulfmeier; William F. Whitney; Arunkumar Byravan; Michael Bloesch; Vibhavari Dasagi; Tim Hertweck; Martin A. Riedmiller (CoRR, 2022)

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)

Bayesian controller fusion: Leveraging control priors in deep reinforcement learning for robotics. - Krishan Rana; Vibhavari Dasagi; Jesse Haviland; Ben Talbot; Michael Milford; Niko Sünderhauf (Int. J. Robotics Res., 2023)

States as Strings as Strategies: Steering Language Models with Game-Theoretic Solvers. - Ian Gemp; Yoram Bachrach; Marc Lanctot; Roma Patel; Vibhavari Dasagi; Luke Marris; Georgios Piliouras; Siqi Liu 002; Karl Tuyls (CoRR, 2024)