markov-games

There are 1 repository under markov-games topic.

csle
Limmen / csle
A research platform to develop automated security policies using quantitative methods, e.g., optimal control, computational game theory, reinforcement learning, optimization, evolutionary methods, and causal inference.
cybersecurity deep-learning game-theory markov-decision-processes markov-games reinforcement-learning self-learning
Language:Python 124
fjia30 / MarkovSoccerGame
Implementing different learning algorithms and analyzing their performance in a Markov game model called the Soccer Game
reinforcement-learning game-theory markov-games q-learning zero-sum-games soccer-game nash-equilibrium matrix-game general-sum-games
Language:Python 23
MuvvalaKaran / CoRL
Correct-by-synthesis reinforcement learning with temporal logic constraints (CoRL)
markov-games mdp temporal-logic-constraints reinforcement-learning maximin-q safe-rl
Language:C 5
nihalsoans91 / Multi-Agent-Alternating-Turn-Board-and-Card-Games
Board-and-card games are those which involve higher level of uncertainty as it includes the probability of getting the right card and the moves made by other players. We look to model such games as Markov Games and find an optimal policy through the Minimax – Q algorithm. This will also be a test for the Minimax – Q algorithm to check how it performs in a situation with multiple goal states.
card-game minimax algorithm uncertainty learning-algorithm markov-games board qlearning multiagent-reinforcement-learning multiagent-planning minimax-algorithm
Language:Python 3
jolares / replicate-greenwald-2004-correlated-q-learning
reinforcement-learning decision-making correlated-q-learning friend-foe-qlearning markov-games multi-agent-learning

markov-games

Limmen / csle

fjia30 / MarkovSoccerGame

MuvvalaKaran / CoRL

nihalsoans91 / Multi-Agent-Alternating-Turn-Board-and-Card-Games

jolares / replicate-greenwald-2004-correlated-q-learning