This is the pytorch implementation of ICML 2018 paper - Self-Imitation Learning.

Implementation of Google's paper on playing atari games using deep learning in python.

Reinforcement Learning with Perturbed Reward, AAAI 2020

Deep learning works for ADLxMLDS (CSIE 5431) in NTU

Reinforcement Learning on Atari Games and Control

Modified versions of the Soft Actor-Critic algorithm for Atari games from https://github.com/ac-93/soft-actor-critic.

This repository is the official implementation of the Hybrid Self-Attention NEAT algorithm. It contains the code to reproduce the results presented in the original paper: https://link.springer.com/article/10.1007/s12530-023-09510-3

Bots for Atari Games using Reinforcement Learning

Works for Applied Deep Learning / Machine Learning and Having It Deep and Structured (2017 FALL) @ NTU

The official implementation of MeDQN algorithm.

PyTorch Implementation of Visual GAIL in Atari Games

Deep Q-Network (DQN) to play classic Atari Games

Implementation Deep Q Network to play Atari Games

Deep Q-Networks in tensorflow

Implementation and evaluation of the RL algorithm Rainbow to learn to play Atari games.

This repository contains a python implementation of a Deep Q-Network (DQN) for Atari gameplay using tensorflow.

Custom implementation of Deepmind's Neural Episodic Control.

RL based agent for atari games

Combining Experience Replay with Exploration by Random Network Distillation

This is repository for games made with pygame