There are 0 repository under experience-replay topic.
This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch
Implementation of "Episodic Memory in Lifelong Language Learning"(NeurIPS 2019) in Pytorch
(TNNLS) Prioritized Experience-Based Reinforcement Learning with Human Guidance for Autonomous Driving
1'st Place approach for CVPR 2020 Continual Learning Challenge
All in one - Everything useful about Aircrack-ng
Reinforcement Learning - Implementation of Exercises, algorithms from the book Sutton Barto and David silver's RL course in Python, OpenAI Gym.
Implementation of HindSight Experience Replay paper with Pytorch
Use Deep Q-Learning model to optimize energy consumption of a data center
Repository containing code for the paper "Meta-Learning with Sparse Experience Replay for Lifelong Language Learning".
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.
Prioritized Sequence Experience Replay
Off-Policy Correction for Actor-Critic Algorithms in Deep Reinforcement Learning
Distributed RL platform with modified IMPALA architecture. Implements CLEAR, LASER V-trace modifications along with Attentive and Elite sampling experience replay methods.
M.Sc. thesis on Continual Learning for Non-Autoregressive Neural Machine Translation
RL based agent for atari games
Combining Experience Replay with Exploration by Random Network Distillation
Udacity Deep Reinforcement Learning Nanodegree Program - Navigation Control
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.
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.
A very detailed project of Chrome Dinosaur in Deep RL for beginners
Reinforcement Learning Project on the Chess Endgame
Safe and Robust Experience Sharing for Deterministic Policy Gradient Algorithms
An Optimistic Approach to the Q-Network Error in Actor-Critic Methods
Implementation reinforcement learning algorithms
XARL: Explanation-Aware Reinforcement Learning
From-scratch implementation and replication of results found in OpenAI's "Hindsight Experience Replay"
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.
A Reinforcement Learning library for solving custom environments