Negotiable Reinforcement Learning for Pareto Optimal Sequential Decision-Making

no code implementations • NeurIPS 2018 • Nishant Desai, Andrew Critch, Stuart J. Russell

To gain insight into the dynamics of this new framework, we implement a simple NRL agent and empirically examine its behavior in a simple environment.

Decision Making reinforcement-learning +1

On Lyapunov exponents and adversarial perturbation

no code implementations • 20 Feb 2018 • Vinay Uday Prabhu, Nishant Desai, John Whaley

In this paper, we would like to disseminate a serendipitous discovery involving Lyapunov exponents of a 1-D time series and their use in serving as a filtering defense tool against a specific kind of deep adversarial perturbation.

Time Series Time Series Analysis

An Anytime Algorithm for Task and Motion MDPs

no code implementations • 16 Feb 2018 • Siddharth Srivastava, Nishant Desai, Richard Freedman, Shlomo Zilberstein

We present a new approach where the high-level decision problem occurs in a stochastic setting and can be modeled as a Markov decision process.

Decision Making Motion Planning +1