Pi Star Lab
Pi Star is a research lab at the Computer Science & Engineering Department, Texas A&M University
College Station, Texas, United States
Pinned Repositories
coin
"Continual Optimistic Initialization for Value-Based Reinforcement Learning" accepted @ AAMAS-2024
csce642-deepRL
Assignments of CSCE-642: Deep Reinforcement Learning offered at Texas A&M University.
daylight-optimization
[Buildings and Simulations 2023] Comparison between CMA-ES and Galapagos for Daylight Optimization
epymarl_resco
EPyMARL codebase modified to operate the RESCO benchmark environments
Improved-H-AIM
JIRL
"A Joint Imitation Reinforcement Learning Framework for Reduced Baseline Regret" accepted @ IROS-2021
metagame-balance
[AAMAS 2023] Bilevel Entropy based Mechanism Design for Balancing Meta in Video Games
RESCO
Reinforcement Learning Benchmarks for Traffic Signal Control (RESCO)
TSC-search-problems
[SoCS 2024] Curriculum Learning for State-Space Search Problems
unscalable-heuristic-approximator
[TMLR 2023] Unscalability of heuristic estimators for NP-H Search Problems
Pi Star Lab's Repositories
Pi-Star-Lab/RESCO
Reinforcement Learning Benchmarks for Traffic Signal Control (RESCO)
Pi-Star-Lab/JIRL
"A Joint Imitation Reinforcement Learning Framework for Reduced Baseline Regret" accepted @ IROS-2021
Pi-Star-Lab/epymarl_resco
EPyMARL codebase modified to operate the RESCO benchmark environments
Pi-Star-Lab/csce642-deepRL
Assignments of CSCE-642: Deep Reinforcement Learning offered at Texas A&M University.
Pi-Star-Lab/unscalable-heuristic-approximator
[TMLR 2023] Unscalability of heuristic estimators for NP-H Search Problems
Pi-Star-Lab/Improved-H-AIM
Pi-Star-Lab/TSC-search-problems
[SoCS 2024] Curriculum Learning for State-Space Search Problems
Pi-Star-Lab/coin
"Continual Optimistic Initialization for Value-Based Reinforcement Learning" accepted @ AAMAS-2024
Pi-Star-Lab/daylight-optimization
[Buildings and Simulations 2023] Comparison between CMA-ES and Galapagos for Daylight Optimization
Pi-Star-Lab/metagame-balance
[AAMAS 2023] Bilevel Entropy based Mechanism Design for Balancing Meta in Video Games
Pi-Star-Lab/pi-star-reading-group
Pi Star Lab Reading Group