Here, we compare Q(\sigma) learning presented by Sutton and Barto in [1] to Tree-Backup, n-step Expected Sarsa, and n-step Sarsa.

Reinforcement Learning in Pacman

A bottom-up model for the simulation of heat demand profiles of urban areas

Lecture notes for CSCI3431: Operating Systems

Implementation of BFS, DFS, A*, HillClimber, Genetic, MCTS Agents

Simulation-based Optimization of Building Control Strategies

Reinforcement Learning in Tensorflow 2.0