96 citations · 369 across the 74 of their papers we have counts for
7 papers · 1 filter
Memory-based Deep Reinforcement Learning for Obstacle Avoidance in UAV with Limited Environment Knowledge
Abhik Singla, Sindhu Padakandla, Shalabh Bhatnagar
This paper presents our method for enabling a UAV quadrotor, equipped with a monocular camera, to autonomously avoid collisions with obstacles in unstructured and unknown indoor en…
Realizing Learned Quadruped Locomotion Behaviors through Kinematic Motion Primitives
Abhik Singla, Shounak Bhattacharya, Dhaivat Dholakiya +4
Humans and animals are believed to use a very minimal set of trajectories to perform a wide variety of tasks including walking. Our main objective in this paper is two fold 1) Obta…
Random directions stochastic approximation with deterministic perturbations
Prashanth L A, Shalabh Bhatnagar, Nirav Bhavsar +2
We introduce deterministic perturbation schemes for the recently proposed random directions stochastic approximation (RDSA) [17], and propose new first-order and second-order algor…
An Online Prediction Algorithm for Reinforcement Learning with Linear Function Approximation using Cross Entropy Method
Ajin George Joseph, Shalabh Bhatnagar
In this paper, we provide two new stable online algorithms for the problem of prediction in reinforcement learning, \emph{i.e.}, estimating the value function of a model-free Marko…
Asynchronous stochastic approximations with asymptotically biased errors and deep multi-agent learning
Arunselvan Ramaswamy, Shalabh Bhatnagar, Daniel E. Quevedo
Asynchronous stochastic approximations (SAs) are an important class of model-free algorithms, tools and techniques that are popular in multi-agent and distributed control scenarios…
A Cross Entropy based Optimization Algorithm with Global Convergence Guarantees
Ajin George Joseph, Shalabh Bhatnagar
The cross entropy (CE) method is a model based search method to solve optimization problems where the objective function has minimal structure. The Monte-Carlo version of the CE me…