A C++ framework for MDPs and POMDPs with Python bindings
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Updated
Jan 7, 2024 - C++
A C++ framework for MDPs and POMDPs with Python bindings
Extensible Combinatorial Optimization Learning Environments
WrightEagle Base Code for RoboCup Soccer Simulation 2D
A Reinforcement Learning Library for C++11/14
High Performance Map Matching with Markov Decision Processes (MDPs) and Hidden Markov Models (HMMs).
Non-linear policy graph improvement - planning for Dec-POMDPs
Multi-agent active perception with prediction rewards
Python package for Dec-POMDP files in the .dpomdp format
(ReCA) Recommendation with Context Awareness using Multi-Environment Markov Decision Processes
A discrete-events simulation library for task scheduling on a processor
Collection of assignments given by Prof. Mausam in the COL333 course
IMCA is a command-line tool for analysing Markov automata
Khalil, R. and Dulay, N. 2022. 37th ACM/SIGAPP Symposium on Applied Computing. RANC: Reward-All Nakamoto Consensus.
Using Genetic programming for sloving balancing double pendulum problem. The works demonstrates the difference of control performance by using non-Markov and Markov decision process
Computing optimal strategy for the dice game 421
Some few basic reiforcement learning examples
Solving BlackJack using Policy Iteration
Paper on application of DTMC and code to implement gaussian techniques.
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