Topic: experience-replay Goto Github
Some thing interesting about experience-replay
Some thing interesting about experience-replay
experience-replay,A multi agent reinforcement learning environment where two agents controlled by DRQNs play a custom version of the pursuit-evasion game.
User: 1391819
experience-replay,An Extendible (General) Continual Learning Framework based on Pytorch - official codebase of Dark Experience for General Continual Learning
Organization: aimagelab
experience-replay,Tackling continual learning as part of a project for university
User: alexsasu
experience-replay,Reinforcement Learning Project on the Chess Endgame
User: amohap
experience-replay,Off-Policy Correction for Actor-Critic Algorithms in Deep Reinforcement Learning
User: baturaysaglam
experience-replay,Safe and Robust Experience Sharing for Deterministic Policy Gradient Algorithms
User: baturaysaglam
experience-replay,An Optimistic Approach to the Q-Network Error in Actor-Critic Methods
User: baturaysaglam
experience-replay,Deep convolutional Q-Learning project powered by Gym
User: bersa125
experience-replay,Implementation reinforcement learning algorithms
User: c4phesua
experience-replay,RL based agent for atari games
User: dsinghnegi
experience-replay,Combining Experience Replay with Exploration by Random Network Distillation
User: francesco-sovrano
Home Page: https://arxiv.org/abs/1905.07579
experience-replay,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.
User: francesco-sovrano
experience-replay,XARL: Explanation-Aware Reinforcement Learning
User: francesco-sovrano
experience-replay,Navigation project of Udacity Deep Reinforcement Learning
User: frgfm
experience-replay,Collaboration and competition project of Udacity Deep Reinforcement Learning Nanodegree
User: frgfm
experience-replay,Another Addition to the Pile of Deep Q Learning, Double DQN, PER, Dueling DQN Implementations
User: goktug97
experience-replay,Implementation of "Episodic Memory in Lifelong Language Learning"(NeurIPS 2019) in Pytorch
User: h3lio5
experience-replay,Implementation of HindSight Experience Replay paper with Pytorch
User: hemilpanchiwala
Home Page: https://arxiv.org/pdf/1707.01495.pdf
experience-replay,Implementation and replication of results found in OpenAI's "Hindsight Experience Replay"
User: kylesayrs
experience-replay,Use Deep Q-Learning model to optimize energy consumption of a data center
User: laurentveyssier
experience-replay,All in one - Everything useful about Aircrack-ng
User: lucthienphong1120
experience-replay,Reinforcement Learning - Implementation of Exercises, algorithms from the book Sutton Barto and David silver's RL course in Python, OpenAI Gym.
User: makaveli10
experience-replay,Deep Reinforcement Learning on Lunar Lander gym environment
User: manisha2612
experience-replay,Udacity Deep Reinforcement Learning Nanodegree Program - Navigation Control
User: marcelloaborges
experience-replay,A Deep Q-Network to play Doom
User: maxtoq
experience-replay,RL with OpenAI Gym
User: mikes96
experience-replay,This project inolved applied Reinfocrcement learnging viz,. Deep Q Learning for the 'cart' to learn to balance the 'pole'
User: naman4real
experience-replay,This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch
User: navneet-nmk
experience-replay,A reinforcement learning agent trained without prior human knowledge
User: neoyung
experience-replay,Repository containing code for the paper "Meta-Learning with Sparse Experience Replay for Lifelong Language Learning".
User: nithin-holla
Home Page: https://arxiv.org/abs/2009.04891
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.
User: ohara124c41
experience-replay,Value-based methods. Apply deep learning architectures to reinforcement learning tasks. Train your own agent that navigates a virtual world from sensory data.
User: ohara124c41
experience-replay, Distributed RL platform with modified IMPALA architecture. Implements CLEAR, LASER V-trace modifications along with Attentive and Elite sampling experience replay methods.
User: parralplex
experience-replay,Reinforcement learning of point to point reaching
User: raklokesh
experience-replay,1'st Place approach for CVPR 2020 Continual Learning Challenge
User: raptormai
Home Page: https://sites.google.com/view/clvision2020/challenge/challenge-winners
experience-replay,M.Sc. thesis on Continual Learning for Non-Autoregressive Neural Machine Translation
User: ristoale97
experience-replay,A very detailed project of Chrome Dinosaur in Deep RL for beginners
User: samyuen101234
experience-replay,
User: shijievvu
experience-replay,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.
User: shivoh
experience-replay,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.
User: shubhamag
experience-replay,RBDoom is a Rainbow-DQN based agent for playing the first-person shooter game Doom
User: sshkhr
experience-replay,A Reinforcement Learning library for solving custom environments
User: tensor-mutator
experience-replay,Lunar Lander training using Deep-Q-Learning
Organization: thirdeyeinfo
Home Page: https://colab.research.google.com/drive/1SgdMlL2zM2HERCBJ5yhpVtbO7QtdDGMh#scrollTo=2ybZW6Im-Bwj
experience-replay,Towards Rehearsal-based Continual Learning at Scale: distributed CL with Horovod + PyTorch
User: thomas-bouvier
experience-replay,Train an agent using RL to navigate (and collect bananas) in a large, square world
User: ucaiado
experience-replay,(TNNLS) Prioritized Experience-Based Reinforcement Learning with Human Guidance for Autonomous Driving
User: wujingda
experience-replay,QWOP agent
User: yatshunlee
experience-replay,DQN, DDQN - using experience replay or prioritized experience replay
User: zaksg
experience-replay,Repo for WSC paper https://arxiv.org/abs/2006.09919 or https://informs-sim.org/wsc20papers/028.pdf
User: zhenghuazx
experience-replay,a reinforcement learning agent can play laser hockey
User: zhuyifan1993
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