dqn-pytorch topic
autonomous-learning-library
A PyTorch library for building deep reinforcement learning agents.
DRL-code-pytorch
Concise pytorch implements of DRL algorithms, including REINFORCE, A2C, DQN, PPO(discrete and continuous), DDPG, TD3, SAC.
DQN-Atari-Agents
DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow, and DRQN
MolDQN-pytorch
A PyTorch Implementation of "Optimization of Molecules via Deep Reinforcement Learning".
DQN-Atari
Deep Q-Learning (DQN) implementation for Atari pong.
fast-reinforcement-learning
Important Note fastrl version 2 is being developed at fastrl. Note the link in the readme
RL-Unity
Implementation of Deep Reinforcement Learning algorithms in the Unity game engine.
ai-traineree
PyTorch agents and tools for (Deep) Reinforcement Learning
FQF-and-Extensions
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, Dueli...
reinforcementLearning
Reinforcement Learning - Implementation of Exercises, algorithms from the book Sutton Barto and David silver's RL course in Python, OpenAI Gym.