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a_simple_tutorial_of_ai

Tutorials on commonly-used basic AI techniques.

common-numeric-optimization-algorithms

Justified MATLAB implementations of common numeric optimization algorithms for nonlinear and convex optmization.

deep-spectral-option-discovery

An option discovery algorithm based on spectral clustering which can be used for continuous control tasks.

deepbridge

A Poker AI for Bridge based on self-playing with SOTA MARL algorithms and heuristic search.

deepfreight

An intelligent freight delivery scheduling system built with the SOTA MARL algorithms and an optimization solver.

dgms-for-offline-policy-learning

This repository provides a survey on the applications of deep generative models for offline reinforcement learning and imitation learning. We cover multiple deep generative models, including VAEs, GANs, Normalizing Flows, Transformers, and Diffusion Models.

gail_airl

Applying SOTA imitation learning and meta-learning algorithms, such as GAIL, AIRL, Info-AIRL, Meta-AIRL, etc, for driving bahavior learning of autonomous vehicles.

hdcfr

A skill-based Poker AI -- Official implementation of "Hierarchical Deep Counterfactual Regret Minimization"

hierairl

A novel Hierarchical Imitation Learning algorithm based on AIRL.

il_rl_in_carla

Applying Imitation Learning and Reinforcement Learning in Pedestrain Interaction for Autonomous Vehicles && Simulated with CARLA

lucascjysdl.github.io

multi-task-hierarchical-airl

Codes for the paper "Multi-task Hierarchical Adversarial Inverse Reinforcement Learning"

odpp

A novel Unsupervised Option Discovery algorithm based on Determinant Point Process.

resnharpg

Official implementation of the paper "Global Convergence Guarantees for Federated Policy Gradient Methods with Adversaries"

scalable_maod_based_on_kp

An option discovery algorithm for multi-agent reinforcement learning, including the tabular version and scalable NN-based version.

two_phase_simplex_method

A Python implementation of the two-phase simplex method as an LP solver.