experience-replay
There are 57 repositories under experience-replay topic.
aimagelab/mammoth
An Extendible (General) Continual Learning Framework based on Pytorch - official codebase of Dark Experience for General Continual Learning
navneet-nmk/pytorch-rl
This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch
h3lio5/episodic-lifelong-learning
Implementation of "Episodic Memory in Lifelong Language Learning"(NeurIPS 2019) in Pytorch
wujingda/Prioritized-Human-in-the-loop-End-to-end-Autonomous-Driving
(TNNLS) Prioritized Experience-Based Reinforcement Learning with Human Guidance for Autonomous Driving
RaptorMai/CVPR20_CLVision_challenge
1'st Place approach for CVPR 2020 Continual Learning Challenge
lucthienphong1120/Aircrack-ng-handbook
All in one - Everything useful about Aircrack-ng
LaurentVeyssier/Minimize-Energy-consumption-with-Deep-Learning-model
Use Deep Q-Learning model to optimize energy consumption of a data center
makaveli10/reinforcementLearning
Reinforcement Learning - Implementation of Exercises, algorithms from the book Sutton Barto and David silver's RL course in Python, OpenAI Gym.
hemilpanchiwala/Hindsight-Experience-Replay
Implementation of HindSight Experience Replay paper with Pytorch
Nithin-Holla/MetaLifelongLanguage
Repository containing code for the paper "Meta-Learning with Sparse Experience Replay for Lifelong Language Learning".
Francesco-Sovrano/Framework-for-Actor-Critic-deep-reinforcement-learning-algorithms
Framework for developing Actor-Critic deep RL algorithms (A3C, A2C, PPO, GAE, etc..) in different environments (OpenAI's Gym, Rogue, Sentiment Analysis, Car Controller, etc..) with continuous and discrete action spaces.
marcbrittain/Prioritized-Sequence-Experience-Replay
Prioritized Sequence Experience Replay
baturaysaglam/AC-Off-POC
Off-Policy Correction for Actor-Critic Algorithms in Deep Reinforcement Learning
sshkhr/RBDoom
RBDoom is a Rainbow-DQN based agent for playing the first-person shooter game Doom
ucaiado/banana-rl
Train an agent using RL to navigate (and collect bananas) in a large, square world
1391819/MA-seek
A multi agent reinforcement learning environment where two agents controlled by DRQNs play a custom version of the pursuit-evasion game.
MikeS96/rl_openai
RL with OpenAI Gym
neoyung/connect-4
A reinforcement learning agent trained without prior human knowledge
parralplex/elite_buffer_vtrace
Distributed RL platform with modified IMPALA architecture. Implements CLEAR, LASER V-trace modifications along with Attentive and Elite sampling experience replay methods.
RistoAle97/ContinualNAT
M.Sc. thesis on Continual Learning for Non-Autoregressive Neural Machine Translation
dsinghnegi/atari_RL_agent
RL based agent for atari games
Francesco-Sovrano/Combining--experience-replay--with--exploration-by-random-network-distillation-
Combining Experience Replay with Exploration by Random Network Distillation
goktug97/dqn
Another Addition to the Pile of Deep Q Learning, Double DQN, PER, Dueling DQN Implementations
marcelloaborges/Bananas-Navigation-Control
Udacity Deep Reinforcement Learning Nanodegree Program - Navigation Control
SHIVOH/Deep-Reinforcement-Learning-My-First-DQN-Agent
This is an implementation of Deep Reinforcement Learning for a navigation task. Specifically, DQN algorithm with experience replay method is used to solve the task.
shubhamag/DeepRL_DQN_tensorflow
A repository of Q-learning based Deep Reinforcement learning algorithms, including Linear DQN, DQN with experience reply, Dueling DQN and Double Dueling DQN. Mostly tested on Gym environments.
yatshunlee/qwop_RL
QWOP agent
SamYuen101234/chrome_dino_RL
A very detailed project of Chrome Dinosaur in Deep RL for beginners
amohap/reinforcement-learning
Reinforcement Learning Project on the Chess Endgame
baturaysaglam/DASE
Safe and Robust Experience Sharing for Deterministic Policy Gradient Algorithms
baturaysaglam/Q-Error-Exploration
An Optimistic Approach to the Q-Network Error in Actor-Critic Methods
c4phesua/reinforcement_learning
Implementation reinforcement learning algorithms
Francesco-Sovrano/XARL
XARL: Explanation-Aware Reinforcement Learning
kylesayrs/BinaryStringRL
From-scratch implementation and replication of results found in OpenAI's "Hindsight Experience Replay"
Ohara124c41/DRLND-Continuous_Control
Policy-Based Methods. Learn the theory behind evolutionary algorithms and policy-gradient methods. Design your own algorithm to train a simulated robotic arm to reach target locations.
zhenghuazx/BayesianLRPolicySearch
Repo for WSC paper https://arxiv.org/abs/2006.09919 or https://informs-sim.org/wsc20papers/028.pdf