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03/28/2023
Scaling Multi-Objective Security Games Provably via Space Discretization Based Evolutionary Search
In the field of security, multi-objective security games (MOSGs) allow d...
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08/19/2022
Unified Policy Optimization for Continuous-action Reinforcement Learning in Non-stationary Tasks and Games
This paper addresses policy learning in non-stationary environments and ...
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02/10/2021
Derivative-Free Reinforcement Learning: A Review
Reinforcement learning is about learning agent models that make the best...
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02/25/2019
Ternary Representation of Stochastic Change and the Origin of Entropy and Its Fluctuations
A change in a stochastic system has three representations: Probabilistic...
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12/31/2017
ZOOpt/ZOOjl: Toolbox for Derivative-Free Optimization
Recent advances of derivative-free optimization allow efficient approxim...
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10/17/2017
Estimate exponential memory decay in Hidden Markov Model and its applications
Inference in hidden Markov model has been challenging in terms of scalab...
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01/24/2014