wwongkamjan Goto Github PK

828l

ai

Projects from classes CMSC421 Intro to AI and CMSC722 AI Planning

algorithms_problems

Algorithms Problems and solutions

amr-test

cmarl_ame

Implementation of ICLR'23 publication "Certifiably Robust Policy Learning against Adversarial Multi-Agent Communication".

computer_vision

data_analytics

Summary of my BI works without any relating to companies that I have worked for

deep_bisim4control_ma_exp

testing Multi Agent env in deep_bisim4control

diplomacy

Diplomacy: DATC-Compliant Game Engine with Web Interface

diplomacy_research_retrain

Supervised and RL Models for No Press Diplomacy

diplomacy_searchbot

Code to accompany "Human-Level Performance in No-Press Diplomacy via Equilibrium Search", published at ICLR 2021

dipnet_press

try adding press to DipNet

doubling_policy_mbpo

dqn-pytorch

DQN to play Atari Pong

gem_mujoco_run

output files for running GEM in 6 envs of Mujoco

machine_learning

ML projects

maddpg_comp_n_comm

Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

mage

Learning Action-Value Gradients in Model-based Policy Optimization

marllib

One repository is all that is necessary for Multi-agent Reinforcement Learning (MARL)

mbpo_curiosity_driven

mbpo_pytorch

A pytorch reprelication of the model-based reinforcement learning algorithm MBPO

mbpo_temple

mbrl_replaybuffer

me-trpo

meowpower

MEOWPOWER is a puzzle game in 2D. I developed it as my senior project in my bachelor.

multiagent-particle-envs

Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

pytorch-drl

PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.

sarnet

Code repository for SARNet: Learning Multi-Agent Communication through Structured Attentive Reasoning (NeurIPS 2020)

tasa

The implementation for EMNLP 2022 paper TASA

vagram

[ICLR 22] Value Gradient weighted Model-Based Reinforcement Learning.