atari-games

C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.

Adversarial attacks on Deep Reinforcement Learning (RL)

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

reinforcement learning, deep Q-network, double DQN, dueling DQN, prioritized experience replay

A C project in which you can play some of your classic arcade video games from the '80s on the terminal.

Reinforcement Learning with Perturbed Reward, AAAI 2020

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

Unofficial Dark knight game for Atari 2600

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

Implementation Deep Q Network to play Atari Games

RL Agent for Atari Game Pong

Bots for Atari Games using Reinforcement Learning

JavaScript based tracker application that exports compositions into assembly code for Paul Slocums Sequencer Kit for Atari 2600

PyTorch Implementation of Visual GAIL in Atari Games

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

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

The official implementation of Memory-efficient DQN algorithm.