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ORCIDFernando Castañeda
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2020 – today
- 2023
[c8]Fernando Castañeda, Haruki Nishimura, Rowan Thomas McAllister, Koushil Sreenath, Adrien Gaidon:
In-Distribution Barrier Functions: Self-Supervised Policy Filters that Avoid Out-of-Distribution States. L4DC 2023: 286-299- [i9]Fernando Castañeda, Haruki Nishimura, Rowan McAllister, Koushil Sreenath, Adrien Gaidon:
In-Distribution Barrier Functions: Self-Supervised Policy Filters that Avoid Out-of-Distribution States. CoRR abs/2301.12012 (2023) - [i8]Jason J. Choi, Fernando Castañeda, Wonsuhk Jung, Bike Zhang, Claire J. Tomlin, Koushil Sreenath:
Constraint-Guided Online Data Selection for Scalable Data-Driven Safety Filters in Uncertain Robotic Systems. CoRR abs/2311.13824 (2023) - 2022
- [c7]Tyler Westenbroek, Fernando Castañeda, Ayush Agrawal, Shankar Sastry, Koushil Sreenath:
Lyapunov Design for Robust and Efficient Robotic Reinforcement Learning. CoRL 2022: 2125-2135 - [i7]Tyler Westenbroek, Fernando Castañeda, Ayush Agrawal, Shankar Sastry, Koushil Sreenath:
Lyapunov Design for Robust and Efficient Robotic Reinforcement Learning. CoRR abs/2208.06721 (2022) - [i6]Fernando Castañeda, Jason J. Choi, Wonsuhk Jung, Bike Zhang, Claire J. Tomlin, Koushil Sreenath:
Probabilistic Safe Online Learning with Control Barrier Functions. CoRR abs/2208.10733 (2022) - 2021
- [c6]Tyler Westenbroek, Ayush Agrawal, Fernando Castañeda, S. Shankar Sastry, Koushil Sreenath:
Combining Model-Based Design and Model-Free Policy Optimization to Learn Safe, Stabilizing Controllers. ADHS 2021: 19-24 - [c5]Fernando Castañeda, Jason J. Choi, Bike Zhang, Claire J. Tomlin, Koushil Sreenath:
Gaussian Process-based Min-norm Stabilizing Controller for Control-Affine Systems with Uncertain Input Effects and Dynamics. ACC 2021: 3683-3690 - [c4]Fernando Castañeda, Jason J. Choi, Bike Zhang, Claire J. Tomlin, Koushil Sreenath:
Pointwise Feasibility of Gaussian Process-based Safety-Critical Control under Model Uncertainty. CDC 2021: 6762-6769 - [i5]Fernando Castañeda, Jason J. Choi, Bike Zhang, Claire J. Tomlin, Koushil Sreenath:
Pointwise Feasibility of Gaussian Process-based Safety-Critical Control under Model Uncertainty. CoRR abs/2106.07108 (2021) - 2020
- [c3]Tyler Westenbroek, Fernando Castañeda, Ayush Agrawal, S. Shankar Sastry, Koushil Sreenath:
Learning Min-norm Stabilizing Control Laws for Systems with Unknown Dynamics. CDC 2020: 737-744 - [c2]Fernando Castañeda, Mathias Wulfman, Ayush Agrawal, Tyler Westenbroek, Shankar Sastry, Claire J. Tomlin, Koushil Sreenath:
Improving Input-Output Linearizing Controllers for Bipedal Robots via Reinforcement Learning. L4DC 2020: 990-999 - [c1]Jason J. Choi, Fernando Castañeda, Claire J. Tomlin, Koushil Sreenath:
Reinforcement Learning for Safety-Critical Control under Model Uncertainty, using Control Lyapunov Functions and Control Barrier Functions. Robotics: Science and Systems 2020 - [i4]Fernando Castañeda, Mathias Wulfman, Ayush Agrawal, Tyler Westenbroek, S. Shankar Sastry, Claire J. Tomlin, Koushil Sreenath:
Improving Input-Output Linearizing Controllers for Bipedal Robots via Reinforcement Learning. CoRR abs/2004.07276 (2020) - [i3]Jason J. Choi, Fernando Castañeda, Claire J. Tomlin, Koushil Sreenath:
Reinforcement Learning for Safety-Critical Control under Model Uncertainty, using Control Lyapunov Functions and Control Barrier Functions. CoRR abs/2004.07584 (2020) - [i2]Tyler Westenbroek, Fernando Castañeda, Ayush Agrawal, S. Shankar Sastry, Koushil Sreenath:
Learning Min-norm Stabilizing Control Laws for Systems with Unknown Dynamics. CoRR abs/2004.10331 (2020) - [i1]Fernando Castañeda, Jason J. Choi, Bike Zhang, Claire J. Tomlin, Koushil Sreenath:
Gaussian Process-based Min-norm Stabilizing Controller for Control-Affine Systems with Uncertain Input Effects. CoRR abs/2011.07183 (2020)
2000 – 2009
- 2004
- [j1]Julián Aguirre, Fernando Castañeda, Juan Carlos Peral:
High rank elliptic curves with torsion group Integer/(2*Integer). Math. Comput. 73(245): 323-331 (2004)
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