Concise pytorch implements of DRL algorithms, including REINFORCE, A2C, DQN, PPO(discrete and continuous), DDPG, TD3, SAC.
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Updated
Mar 29, 2023 - Python
Concise pytorch implements of DRL algorithms, including REINFORCE, A2C, DQN, PPO(discrete and continuous), DDPG, TD3, SAC.
A PyTorch library for building deep reinforcement learning agents.
A PyTorch Implementation of "Optimization of Molecules via Deep Reinforcement Learning".
Deep Q-Learning (DQN) implementation for Atari pong.
A Torch Based RL Framework for Rapid Prototyping of Research Papers
Graph-based Deep Q Network for Web Navigation
Multi-agent reinforcement learning framework
This code is the result of the collaboration of RL Turkey team.
PyTorch agents and tools for (Deep) Reinforcement Learning
Reinforcement Learning for Optimal inventory policy
Integrate AutoRL into DQN to implement a single traffic signal control system.
PyTorch implementation of DQN, DDQN and Dueling DQN to solve Atari games including PongNoFrameskip-v4, BreakoutNoFrameskip-v4 and BoxingNoFrameskip-v4
Grid-scale li-ion battery optimisation for wholesale market arbitrage, using pytorch implementation of dqn, double dueling dqn and a noisy network dqn.
Solving pursuit-evasion problems on graphs using Reinfocement Learning and GNNs
PyTorch implementation of RIC for conveyor systems with Deep Q-Networks (DQN) and Profit-Sharing (PS). Wang, T., Cheng, J., Yang, Y., Esposito, C., Snoussi, H., & Tao, F. (2020). Adaptive Optimization Method in Digital Twin Conveyor Systems via Range-Inspection Control. IEEE Transactions on Automation Science and Engineering.
Reinforcement Learning Tutorials & other bedtime stories in PyTorch
Deep Q learning algorithm written on PyTorch for solving 2D robot arm reacher
Implementation and evaluation of the RL algorithm Rainbow to learn to play Atari games.
Lunar Lander envitoment of gymnasium solved using Double DQN and D3QN
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