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Charitha Buddhika Heendeniya's Projects

chainerrl icon chainerrl

ChainerRL is a deep reinforcement learning library built on top of Chainer.

coma icon coma

Multi-agent algorithm based on counterfactual multi-agent policy gradients

cond_rnn icon cond_rnn

Conditional RNNs for Tensorflow / Keras.

cs228_pgm icon cs228_pgm

πŸŒ€ Stanford CS 228 - Probabilistic Graphical Models

decision-transformer icon decision-transformer

Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.

deep-racing icon deep-racing

Self-driving racecar using reinforcement learning (proximal policy optimization) in PyTorch

deep-rl-keras icon deep-rl-keras

Keras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)

ev-sdg icon ev-sdg

Synthetic data generator for EV sessions data

fmpy icon fmpy

Simulate Functional Mockup Units (FMUs) in Python

gcn icon gcn

Implementation of Graph Convolutional Networks in TensorFlow

gnnpapers icon gnnpapers

Must-read papers on graph neural networks (GNN)

graph_opt icon graph_opt

This repository implements paper, Graph Based Optimization For Multiagent Cooperation (AAMAS-2019)

gym icon gym

A toolkit for developing and comparing reinforcement learning algorithms.

gym-maze icon gym-maze

A basic 2D maze environment where an agent start from the top left corner and try to find its way to the bottom left corner.

ile-de-france icon ile-de-france

An open synthetic population of Île-de-France for agent-based transport simulation

keras-deep-graph-learning icon keras-deep-graph-learning

Welcome to Keras Deep Learning on Graphs (Keras-DGL) http://vermaMachineLearning.github.io/keras-deep-graph-learning

ma-gym icon ma-gym

A collection of multi agent environments based on OpenAI gym.

mamcts icon mamcts

Multi-agent Monte Carlo Tree Search implementation in C++

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