65 citations · 172 across the 14 of their papers we have counts for
5 papers · 1 filter
Draining Fictitious Knots: Restoring Distance-Awareness Guarantees for High-Dimensional Spline Networks
Masoud Ataei, Mohammad Javad Khojasteh, Vikas Dhiman
Kolmogorov-Arnold Networks (KANs) with spline activations have recently shown promise for interpretable function approximation. Distance-Aware Error for Kolmogorov Networks (DAREK)…
Inverse reinforcement learning for autonomous navigation via differentiable semantic mapping and planning
Tianyu Wang, Vikas Dhiman, Nikolay Atanasov
This paper focuses on inverse reinforcement learning for autonomous navigation using distance and semantic category observations. The objective is to infer a cost function that exp…
Learning Navigation Costs from Demonstration with Semantic Observations
Tianyu Wang, Vikas Dhiman, Nikolay Atanasov
This paper focuses on inverse reinforcement learning (IRL) for autonomous robot navigation using semantic observations. The objective is to infer a cost function that explains demo…
Learning Navigation Costs from Demonstration in Partially Observable Environments
Tianyu Wang, Vikas Dhiman, Nikolay Atanasov
This paper focuses on inverse reinforcement learning (IRL) to enable safe and efficient autonomous navigation in unknown partially observable environments. The objective is to infe…
Floyd-Warshall Reinforcement Learning: Learning from Past Experiences to Reach New Goals
Vikas Dhiman, Shurjo Banerjee, Jeffrey M. Siskind +1
Consider mutli-goal tasks that involve static environments and dynamic goals. Examples of such tasks, such as goal-directed navigation and pick-and-place in robotics, abound. Two t…