#计算机科学#PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".
Simple A3C implementation with pytorch + multiprocessing
#计算机科学#Asynchronous Advantage Actor-Critic (A3C) algorithm for Super Mario Bros
Trading with recurrent actor-critic reinforcement learning
#算法刷题#PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
A3C LSTM Atari with Pytorch plus A3G design
#计算机科学#Deep reinforcement learning using an asynchronous advantage actor-critic (A3C) model.
Implement A3C for Mujoco gym envs
Hybrid CPU/GPU implementation of the A3C algorithm for deep reinforcement learning.
Keras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)
Reinforcement learning baseline agent trained with the Actor-critic (A3C) algorithm.
PyTorch implementation of Advantage async actor-critic Algorithms (A3C) in PyTorch
A continuous action space version of A3C LSTM in pytorch plus A3G design
Implementation of selected reinforcement learning algorithms in Tensorflow. A3C, DDPG, REINFORCE, DQN, etc.
#计算机科学#Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...
Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC
Decentralized Multi-Agent Exploration on ROS with Distributed Deep Reinforcement Learning using A3C Algorithm
Distributed RL Implementation using Pytorch and Ray (ApeX(Ape-X), A3C, Distributed-PPO(DPPO), Impala)