PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".
Simple A3C implementation with pytorch + multiprocessing
Asynchronous Advantage Actor-Critic (A3C) algorithm for Super Mario Bros
Implementation of Meta-RL A3C algorithm
Trading with recurrent actor-critic reinforcement learning
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
翻译 - DQN、AC、ACER、A2C、A3C、PG、DDPG、TRPO、PPO、SAC、TD3 和...的 PyTorch 实现。
A3C LSTM Atari with Pytorch plus A3G design
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.
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)