C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.
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Updated
Aug 12, 2024 - C++
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.
Bots for Atari Games using Reinforcement Learning
Implementation Deep Q Network to play Atari Games
Deep learning works for ADLxMLDS (CSIE 5431) in NTU
Implementation of Google's paper on playing atari games using deep learning in python.
RL Agent for Atari Game Pong
reinforcement learning, deep Q-network, double DQN, dueling DQN, prioritized experience replay
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.
Works for Applied Deep Learning / Machine Learning and Having It Deep and Structured (2017 FALL) @ NTU
Reinforcement Learning with Perturbed Reward, AAAI 2020
Deep Q-Networks in tensorflow
A C project in which you can play some of your classic arcade video games from the '80s on the terminal.
Implementation and evaluation of the RL algorithm Rainbow to learn to play Atari games.
Game for Atari 2600 VCS about duck flying through an arctic storm.
PyTorch Implementation of Visual GAIL in Atari Games
Reinforcement Learning Project, on Atari's skiing game, using OpenAI gym.
Deep Q-Network (DQN) to play classic Atari Games
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