Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Kalaria, Dvij"'
Reinforcement learning (RL) agents need to explore their environment to learn optimal behaviors and achieve maximum rewards. However, exploration can be risky when training RL directly on real systems, while simulation-based training introduces the t
Externí odkaz:
http://arxiv.org/abs/2410.06570
Modern non-linear model-based controllers require an accurate physics model and model parameters to be able to control mobile robots at their limits. Also, due to surface slipping at high speeds, the friction parameters may continually change (like t
Externí odkaz:
http://arxiv.org/abs/2410.06565
Recent works in the robot learning community have successfully introduced generalist models capable of controlling various robot embodiments across a wide range of tasks, such as navigation and locomotion. However, achieving agile control, which push
Externí odkaz:
http://arxiv.org/abs/2409.15783
Off-road navigation is a challenging problem both at the planning level to get a smooth trajectory and at the control level to avoid flipping over, hitting obstacles, or getting stuck at a rough patch. There have been several recent works using class
Externí odkaz:
http://arxiv.org/abs/2404.08855
Head-to-head autonomous racing is a challenging problem, as the vehicle needs to operate at the friction or handling limits in order to achieve minimum lap times while also actively looking for strategies to overtake/stay ahead of the opponent. In th
Externí odkaz:
http://arxiv.org/abs/2308.13491
Autonomous racing is a challenging problem, as the vehicle needs to operate at the friction or handling limits in order to achieve minimum lap times. Autonomous race cars require highly accurate perception, state estimation, planning and precise appl
Externí odkaz:
http://arxiv.org/abs/2303.08235
Autonomous car racing is a challenging task, as it requires precise applications of control while the vehicle is operating at cornering speeds. Traditional autonomous pipelines require accurate pre-mapping, localization, and planning which make the t
Externí odkaz:
http://arxiv.org/abs/2303.02267
Delays endanger safety of autonomous systems operating in a rapidly changing environment, such as nondeterministic surrounding traffic participants in autonomous driving and high-speed racing. Unfortunately, delays are typically not considered during
Externí odkaz:
http://arxiv.org/abs/2208.13856
With the rapid advancement and increased use of deep learning models in image identification, security becomes a major concern to their deployment in safety-critical systems. Since the accuracy and robustness of deep learning models are primarily att
Externí odkaz:
http://arxiv.org/abs/2208.13838
Autor:
Kalaria, Dvij
This is Btech thesis report on detection and purification of adverserially attacked images. A deep learning model is trained on certain training examples for various tasks such as classification, regression etc. By training, weights are adjusted such
Externí odkaz:
http://arxiv.org/abs/2205.07859