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Found 10 papers, 4 papers with code
Neural Network Compatible Off-Policy Natural Actor-Critic Algorithm
Learning optimal behavior from existing data is one of the most important problems in Reinforcement Learning (RL).
Attention Actor-Critic algorithm for Multi-Agent Constrained Co-operative Reinforcement Learning
In this work, we consider the problem of computing optimal actions for Reinforcement Learning (RL) agents in a co-operative setting, where the objective is to optimize a common goal.
A Stochastic Game Framework for Efficient Energy Management in Microgrid Networks
A microgrid is capable of generating a limited amount of energy from a renewable resource and is responsible for handling the demands of its dedicated customers.
A Convergent Off-Policy Temporal Difference Algorithm
In this work, we propose a convergent on-line off-policy TD algorithm under linear function approximation.
A Generalized Minimax Q-learning Algorithm for Two-Player Zero-Sum Stochastic Games
This problem is formulated as a min-max Markov game in the literature.
Generalized Second Order Value Iteration in Markov Decision Processes
In this work, we propose a second order value iteration procedure that is obtained by applying the Newton-Raphson method to the successive relaxation value iteration scheme.
Successive Over Relaxation Q-Learning
We first derive a modified fixed point iteration for SOR Q-values and utilize stochastic approximation to derive a learning algorithm to compute the optimal value function and an optimal policy.
An Online Sample Based Method for Mode Estimation using ODE Analysis of Stochastic Approximation Algorithms
In many of the practical applications, the analytical form of the density is not known and only the samples from the distribution are available.
Novel Sensor Scheduling Scheme for Intruder Tracking in Energy Efficient Sensor Networks
We consider the problem of tracking an intruder using a network of wireless sensors.
Multi-Agent Q-Learning for Minimizing Demand-Supply Power Deficit in Microgrids
Finally, we also consider a variant of this problem where the cost of power production at the main site is taken into consideration.
