Vibhavari Dasagi

According to our database, Vibhavari Dasagi authored at least 17 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

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, Karl Tuyls

CoRR, 2024

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., March, 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, Karol Gregor, Edward Hughes, Sheleem Kashem, Maria Loks-Thompson, Hannah Openshaw, Jack Parker-Holder, Shreya Pathak, Nicolas Perez Nieves, Nemanja Rakicevic, Tim Rocktäschel, Yannick Schroecker, Jakub Sygnowski, Karl Tuyls, Sarah York, Alexander Zacherl, Lei Zhang

CoRR, 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, Sheleem Kashem, Maria Loks-Thompson, Hannah Openshaw, Jack Parker-Holder, Shreya Pathak, Nicolas Perez Nieves, Nemanja Rakicevic, Tim Rocktäschel, Yannick Schroecker, Satinder Singh, Jakub Sygnowski, Karl Tuyls, Sarah York, Alexander Zacherl, Lei M. Zhang

Proceedings of the International Conference on Machine Learning, 2023

2022

Developing, Evaluating and Scaling Learning Agents in Multi-Agent Environments.

Ian Gemp, Thomas W. Anthony, Yoram Bachrach, Avishkar Bhoopchand, Kalesha Bullard, Jerome T. Connor, Vibhavari Dasagi, Bart De Vylder, Edgar A. Duéñez-Guzmán, Romuald Elie, Richard Everett, Daniel Hennes, Edward Hughes, Mina Khan, Marc Lanctot, Kate Larson, Guy Lever, Siqi Liu, Luke Marris, Kevin R. McKee, Paul Muller, Julien Pérolat, Florian Strub, Andrea Tacchetti, Eugene Tarassov, Zhe Wang, Karl Tuyls

CoRR, 2022

The Challenges of Exploration for Offline Reinforcement Learning.

Nathan Lambert, Markus Wulfmeier, William F. Whitney, Arunkumar Byravan, Michael Bloesch, Vibhavari Dasagi, Tim Hertweck, Martin A. Riedmiller

CoRR, 2022

Developing, evaluating and scaling learning agents in multi-agent environments.

Ian Gemp, Thomas W. Anthony, Yoram Bachrach, Avishkar Bhoopchand, Kalesha Bullard, Jerome T. Connor, Vibhavari Dasagi, Bart De Vylder, Edgar A. Duéñez-Guzmán, Romuald Elie, Richard Everett, Daniel Hennes, Edward Hughes, Mina Khan, Marc Lanctot, Kate Larson, Guy Lever, Siqi Liu, Luke Marris, Kevin R. McKee, Paul Muller, Julien Pérolat, Florian Strub, Andrea Tacchetti, Eugene Tarassov, Zhe Wang, Karl Tuyls

AI Commun., 2022

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

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

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

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

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 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

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Learning Arbitrary-Goal Fabric Folding with One Hour of Real Robot Experience.

Robert Lee, Daniel Ward, Vibhavari Dasagi, Akansel Cosgun, Juxi Leitner, Peter Corke

Proceedings of the 4th Conference on Robot Learning, 2020

2019

Evaluating task-agnostic exploration for fixed-batch learning of arbitrary future tasks.

Vibhavari Dasagi, Robert Lee, Jake Bruce, Jürgen Leitner

CoRR, 2019

Ctrl-Z: Recovering from Instability in Reinforcement Learning.

Vibhavari Dasagi, Jake Bruce, Thierry Peynot, Jürgen Leitner

CoRR, 2019

2018

Zero-shot Sim-to-Real Transfer with Modular Priors.

Robert Lee, Serena Mou, Vibhavari Dasagi, Jake Bruce, Jürgen Leitner, Niko Sünderhauf

CoRR, 2018

2013

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

Proceedings of the RoboCup 2013: Robot World Cup XVII [papers from the 17th Annual RoboCup International Symposium, 2013