C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.
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Updated
Mar 30, 2024 - C++
C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.
This is the pytorch implementation of ICML 2018 paper - Self-Imitation Learning.
Adversarial attacks on Deep Reinforcement Learning (RL)
Bots for Atari Games using Reinforcement Learning
Deep learning works for ADLxMLDS (CSIE 5431) in NTU
RL Agent for Atari Game Pong
Implementation of Google's paper on playing atari games using deep learning in python.
reinforcement learning, deep Q-network, double DQN, dueling DQN, prioritized experience replay
Implementation Deep Q Network to play Atari Games
Reinforcement Learning on Atari Games and Control
Works for Applied Deep Learning / Machine Learning and Having It Deep and Structured (2017 FALL) @ NTU
Modified versions of the Soft Actor-Critic algorithm for Atari games from https://github.com/ac-93/soft-actor-critic.
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.
Combining Experience Replay with Exploration by Random Network Distillation
Reinforcement Learning Project, on Atari's skiing game, using OpenAI gym.
PyTorch Implementation of Visual GAIL in Atari Games
Deep Q-Network (DQN) to play classic Atari Games
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