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.
DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow, and DRQN
Solving Atari Pong Game w/ Duel Double DQN in Pytorch
PyTorch implementation of the state-of-the-art distributional reinforcement learning algorithm Fully Parameterized Quantile Function (FQF) and Extensions: N-step Bootstrapping, PER, Noisy Layer, Dueling Networks, and parallelization.
Graph-based Deep Q Network for Web Navigation
Multi-agent reinforcement learning framework
Reinforcement Learning for Optimal inventory policy
PyTorch agents and tools for (Deep) Reinforcement Learning
This code is the result of the collaboration of RL Turkey team.
This is repository teaching PyTorch1.0.
Repo hosting the NMA Deep Learning - Lunar Lander transfer learning project repository for Group 1, Atcheke Pod (transferlanders)
A repository for slides and code lectured from classical RL to Deep Q-Network (DQN) at AI Frenz
Control Traffic lights intelligently with Reinforcement Learning!
Grid-scale li-ion battery optimisation for wholesale market arbitrage, using pytorch implementation of dqn, double dueling dqn and a noisy network dqn.
Reinforcement Learning - Implementation of Exercises, algorithms from the book Sutton Barto and David silver's RL course in Python, OpenAI Gym.
Important Note fastrl version 2 is being developed at fastrl. Note the link in the readme
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