Ishan Durugkar

Ishan Durugkar

Research Scientist at Sony AI. Interested in research and applications of Reinforcement Learning (RL), Multiagent RL, and Robotics

Wasserstein Distance Maximizing Intrinsic Control

Published in Deep RL Workshop, NeurIPS 2021, 2021

Recommended citation: Ishan Durugkar, Steven Hansen, Stephen Spencer, Volodymyr Mnih. (2021). "Wasserstein Distance Maximizing Intrinsic Control". Deep RL workshop, NeurIPS, 2021. https://arxiv.org/abs/2110.15331

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Estimating and maximizing the Wasserstein distance from a start state to learn skills in a controlled Markov process.

Recommended citation: Ishan Durugkar, Steven Hansen, Stephen Spencer, Volodymyr Mnih. (2021). “Wasserstein Distance Maximizing Intrinsic Control”. Deep RL workshop, NeurIPS, 2021.