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Search results for dqn prioritized experience replay

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12 search results found

Deeprl ⭐ 2,834

Modularized Implementation of Deep RL Algorithms in PyTorch

Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...

Repository for codes of 'Deep Reinforcement Learning'

Prioritized_experience_replay ⭐ 36

Prioritized Experience Replay implementation with proportional prioritization

Dqn Atari Agents ⭐ 18

DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow, and DRQN

Deep Reinforcement Learning ⭐ 14

To keep track and showcase

Deep Reinforcement Learning Notebooks ⭐ 13

This Repository contains a series of google colab notebooks which I created to help people dive into deep reinforcement learning.This notebooks contain both theory and implementation of different algorithms.

Rlcodebase ⭐ 12

RLCodebase: PyTorch Codebase For Deep Reinforcement Learning Algorithms

A Torch Based RL Framework for Rapid Prototyping of Research Papers

Applying the DQN-Agent from keras-rl to Starcraft 2 Learning Environment and modding it to to use the Rainbow-DQN algorithms.

Iqn And Extensions ⭐ 7

PyTorch Implementation of Implicit Quantile Networks (IQN) for Distributional Reinforcement Learning with additional extensions like PER, Noisy layer, N-step bootstrapping, Dueling architecture and parallel env support.

Normalized Advantage Function Naf ⭐ 5

PyTorch implementation of the Q-Learning Algorithm Normalized Advantage Function for continuous control problems + PER and N-step Method

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