Multiplicative Controller Fusion: Leveraging Algorithmic Priors for Sample-efficient Reinforcement Learning and Safe Sim-To-Real Transfer
Rana, Krishan, Dasagi, Vibhavari, Talbot, Ben, Milford, Michael, Sunderhauf, Niko
Published in 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (24.10.2020)
Published in 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (24.10.2020)
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Conference Proceeding
Developing, evaluating and scaling learning agents in multi-agent environments
Gemp, Ian, Anthony, Thomas, Bachrach, Yoram, Bhoopchand, Avishkar, Bullard, Kalesha, Connor, Jerome, Dasagi, Vibhavari, De Vylder, Bart, Duéñez-Guzmán, Edgar A., Elie, Romuald, Everett, Richard, Hennes, Daniel, Hughes, Edward, Khan, Mina, Lanctot, Marc, Larson, Kate, Lever, Guy, Liu, Siqi, Marris, Luke, McKee, Kevin R., Muller, Paul, Pérolat, Julien, Strub, Florian, Tacchetti, Andrea, Tarassov, Eugene, Wang, Zhe, Tuyls, Karl
Published in Ai communications (01.01.2022)
Published in Ai communications (01.01.2022)
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Journal Article
Bayesian Controller Fusion: Leveraging Control Priors in Deep Reinforcement Learning for Robotics
Rana, Krishan, Dasagi, Vibhavari, Haviland, Jesse, Talbot, Ben, Milford, Michael, Sünderhauf, Niko
Published in arXiv.org (03.04.2023)
Published in arXiv.org (03.04.2023)
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Paper
Journal Article
States as Strings as Strategies: Steering Language Models with Game-Theoretic Solvers
Gemp, Ian, Bachrach, Yoram, Lanctot, Marc, Patel, Roma, Dasagi, Vibhavari, Marris, Luke, Piliouras, Georgios, Liu, Siqi, Tuyls, Karl
Published in arXiv.org (06.02.2024)
Published in arXiv.org (06.02.2024)
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Paper
Journal Article
Residual Reactive Navigation: Combining Classical and Learned Navigation Strategies For Deployment in Unknown Environments
Rana, Krishan, Talbot, Ben, Dasagi, Vibhavari, Milford, Michael, Sunderhauf, Niko
Published in 2020 IEEE International Conference on Robotics and Automation (ICRA) (01.05.2020)
Published in 2020 IEEE International Conference on Robotics and Automation (ICRA) (01.05.2020)
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Conference Proceeding
Multiplicative Controller Fusion: Leveraging Algorithmic Priors for Sample-efficient Reinforcement Learning and Safe Sim-To-Real Transfer
Rana, Krishan, Dasagi, Vibhavari, Talbot, Ben, Milford, Michael, Sünderhauf, Niko
Published in arXiv.org (27.07.2020)
Published in arXiv.org (27.07.2020)
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Paper
Journal Article
The Challenges of Exploration for Offline Reinforcement Learning
Lambert, Nathan, Wulfmeier, Markus, Whitney, William, Byravan, Arunkumar, Bloesch, Michael, Dasagi, Vibhavari, Hertweck, Tim, Riedmiller, Martin
Published in arXiv.org (19.02.2022)
Published in arXiv.org (19.02.2022)
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Paper
Journal Article
Zero-Shot Uncertainty-Aware Deployment of Simulation Trained Policies on Real-World Robots
Rana, Krishan, Dasagi, Vibhavari, Haviland, Jesse, Talbot, Ben, Milford, MIchael, Sünderhauf, Niko
Published in arXiv.org (10.12.2021)
Published in arXiv.org (10.12.2021)
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Paper
Journal Article
Residual Reactive Navigation: Combining Classical and Learned Navigation Strategies For Deployment in Unknown Environments
Rana, Krishan, Talbot, Ben, Dasagi, Vibhavari, Milford, Michael, Sünderhauf, Niko
Published in arXiv.org (11.03.2020)
Published in arXiv.org (11.03.2020)
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Paper
Journal Article
Is Curiosity All You Need? On the Utility of Emergent Behaviours from Curious Exploration
Groth, Oliver, Wulfmeier, Markus, Vezzani, Giulia, Dasagi, Vibhavari, Hertweck, Tim, Hafner, Roland, Heess, Nicolas, Riedmiller, Martin
Published in arXiv.org (17.09.2021)
Published in arXiv.org (17.09.2021)
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Paper
Journal Article
Ctrl-Z: Recovering from Instability in Reinforcement Learning
Dasagi, Vibhavari, Bruce, Jake, Peynot, Thierry, Leitner, Jürgen
Published in arXiv.org (09.10.2019)
Published in arXiv.org (09.10.2019)
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Paper
Journal Article
Learning Arbitrary-Goal Fabric Folding with One Hour of Real Robot Experience
Lee, Robert, Ward, Daniel, Cosgun, Akansel, Dasagi, Vibhavari, Corke, Peter, Leitner, Jurgen
Published in arXiv.org (07.10.2020)
Published in arXiv.org (07.10.2020)
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Journal Article
Sim-to-Real Transfer of Robot Learning with Variable Length Inputs
Dasagi, Vibhavari, Lee, Robert, Mou, Serena, Bruce, Jake, Sünderhauf, Niko, Leitner, Jürgen
Published in arXiv.org (09.10.2019)
Published in arXiv.org (09.10.2019)
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Journal Article
Human-Timescale Adaptation in an Open-Ended Task Space
Adaptive Agent Team, Bauer, Jakob, Baumli, Kate, Baveja, Satinder, Behbahani, Feryal, Bhoopchand, Avishkar, Bradley-Schmieg, Nathalie, Chang, Michael, Clay, Natalie, Collister, Adrian, Dasagi, Vibhavari, Gonzalez, Lucy, Karol, Gregor, Hughes, Edward, Kashem, Sheleem, Loks-Thompson, Maria, Openshaw, Hannah, Parker-Holder, Jack, Pathak, Shreya, Perez-Nieves, Nicolas, Rakicevic, Nemanja, Rocktäschel, Tim, Schroecker, Yannick, Sygnowski, Jakub, Tuyls, Karl, York, Sarah, Zacherl, Alexander, Zhang, Lei
Published in arXiv.org (18.01.2023)
Published in arXiv.org (18.01.2023)
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Journal Article
Developing, Evaluating and Scaling Learning Agents in Multi-Agent Environments
Gemp, Ian, Thomas, Anthony, Bachrach, Yoram, Bhoopchand, Avishkar, Bullard, Kalesha, Connor, Jerome, Dasagi, Vibhavari, De Vylder, Bart, Duenez-Guzman, Edgar, Elie, Romuald, Everett, Richard, Hennes, Daniel, Hughes, Edward, Khan, Mina, Lanctot, Marc, Larson, Kate, Lever, Guy, Liu, Siqi, Marris, Luke, McKee, Kevin R, Muller, Paul, Perolat, Julien, Strub, Florian, Tacchetti, Andrea, Tarassov, Eugene, Wang, Zhe, Tuyls, Karl
Published in arXiv.org (22.09.2022)
Published in arXiv.org (22.09.2022)
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Journal Article