Pinned Repositories
abides-jpmc-public
aoc
Repo for the Advent of Code, 2021
bandit_algorithms_book
Code solutions for Lattimore book on Bandits
cleanrl
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
DraftResults
eecs595-final
fpv2021
Lecture notes, exercises, homeworks for Brown CS1951x 2021
gen_alg
Repo for learning genetic algorithms
gre_quiz
metaheuristics
Implementation of algorithms from Sean Luke's Essentials of Metaheuristics
dipplestix's Repositories
dipplestix/gre_quiz
dipplestix/metaheuristics
Implementation of algorithms from Sean Luke's Essentials of Metaheuristics
dipplestix/abides-jpmc-public
dipplestix/aoc
Repo for the Advent of Code, 2021
dipplestix/bandit_algorithms_book
Code solutions for Lattimore book on Bandits
dipplestix/cleanrl
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
dipplestix/DraftResults
dipplestix/eecs595-final
dipplestix/fpv2021
Lecture notes, exercises, homeworks for Brown CS1951x 2021
dipplestix/gen_alg
Repo for learning genetic algorithms
dipplestix/gnn_coloring
dipplestix/ip_hc2
dipplestix/scmloneshot2022
dipplestix/lean_nash_eq
Final project for CS 1951X
dipplestix/lemonade
dipplestix/mdp
dipplestix/neatproject1470
dipplestix/Reinforcement-Learning-2nd-Edition-by-Sutton-Exercise-Solutions
Solutions of Reinforcement Learning, An Introduction
dipplestix/rf-clustering
dipplestix/RL-learning
Personal repo for learning (deep) reinforcement learning
dipplestix/rlbook
dipplestix/Scheduling-5th-Edition-by-Pinedo-Exercise-Solutions
Solutions to the exercises from the 5th edition of Michael Pinedo's Scheduling textbook
dipplestix/supply-chain-management-stencil
Unofficial Python stencil for linear programming assignment on CS-2951O. Works on Brown's department machine
dipplestix/swf
dipplestix/tacchetti2019neural
Reimplementation of Tacchetti's 2019 paper, "A Neural Architecture for Designing Truthful and Efficient Auctions"