prioritized-experience-replay topic
distributed_rl
Pytorch implementation of distributed deep reinforcement learning
DeepRL-Tutorials
Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
machin
Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...
DRL
Repository for codes of 'Deep Reinforcement Learning'
DeepRL
Modularized Implementation of Deep RL Algorithms in PyTorch
Soft-Actor-Critic-and-Extensions
PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL + D2RL and parallel Environments.
per
Prioritized Experience Replay (PER) implementation in PyTorch
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
Normalized-Advantage-Function-NAF-
PyTorch implementation of the Q-Learning Algorithm Normalized Advantage Function for continuous control problems + PER and N-step Method
Deep-Reinforcement-Learning
To keep track and showcase