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Nitish Sontakke
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2020 – today
- 2023
- [c3]Nitish Sontakke, Hosik Chae, Sangjoon Lee, Tianle Huang, Dennis W. Hong, Sehoon Ha:
Residual Physics Learning and System Identification for Sim-to-real Transfer of Policies on Buoyancy Assisted Legged Robots. IROS 2023: 392-399 - [c2]Arnaud Klipfel, Nitish Sontakke, Ren Liu, Sehoon Ha:
Learning a Single Policy for Diverse Behaviors on a Quadrupedal Robot Using Scalable Motion Imitation. IROS 2023: 2768-2775 - [i5]Nitish Sontakke, Hosik Chae, Sangjoon Lee, Tianle Huang, Dennis W. Hong, Sehoon Ha:
Residual Physics Learning and System Identification for Sim-to-real Transfer of Policies on Buoyancy Assisted Legged Robots. CoRR abs/2303.09597 (2023) - [i4]Arnaud Klipfel, Nitish Sontakke, Ren Liu, Sehoon Ha:
Learning a Single Policy for Diverse Behaviors on a Quadrupedal Robot using Scalable Motion Imitation. CoRR abs/2303.15331 (2023) - [i3]Tianle Huang, Nitish Sontakke, K. Niranjan Kumar, Irfan Essa, Stefanos Nikolaidis, Dennis W. Hong, Sehoon Ha:
BayRnTune: Adaptive Bayesian Domain Randomization via Strategic Fine-tuning. CoRR abs/2310.10606 (2023) - 2022
- [c1]Ren Liu, Nitish Sontakke, Sehoon Ha:
PM-FSM: Policies Modulating Finite State Machine for Robust Quadrupedal Locomotion. IROS 2022: 4063-4069 - 2021
- [i2]Ren Liu, Nitish Sontakke, Sehoon Ha:
Finite State Machine Policies Modulating Trajectory Generator. CoRR abs/2109.12696 (2021) - [i1]Nitish Sontakke, Sehoon Ha:
Solving Challenging Control Problems Using Two-Staged Deep Reinforcement Learning. CoRR abs/2109.13338 (2021)
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