Topic: prioritized-experience-replay Goto Github
Some thing interesting about prioritized-experience-replay
Some thing interesting about prioritized-experience-replay
prioritized-experience-replay,Provide a fast (cpp-version) of Prioritized Experience Replay in Reinforcement Learning
User: 7starsea
prioritized-experience-replay,To keep track and showcase
User: abyaadrafid
prioritized-experience-replay,Flappy Bird Game trained on a Double Dueling Deep Q Network with Prioritized Experience Replay
User: adityajn105
Home Page: https://adityajn105.github.io/blogs/deep-q-learning.html
prioritized-experience-replay,Tensorflow - Keras /PyTorch Implementation ⚡️ of State-of-the-art DeepQN for RL Gym benchmarks 👨💻
User: ashutoshtiwari13
prioritized-experience-replay,Actor Prioritized Experience Replay
User: baturaysaglam
prioritized-experience-replay,PyTorch implementation of D4PG with the SOTA IQN Critic instead of C51. Implementation includes also the extensions Munchausen RL and D2RL which can be added to D4PG to improve its performance.
User: by571
prioritized-experience-replay,DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow, and DRQN
User: by571
prioritized-experience-replay,PyTorch implementation of the state-of-the-art distributional reinforcement learning algorithm Fully Parameterized Quantile Function (FQF) and Extensions: N-step Bootstrapping, PER, Noisy Layer, Dueling Networks, and parallelization.
User: by571
prioritized-experience-replay,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.
User: by571
prioritized-experience-replay,PyTorch implementation of the Q-Learning Algorithm Normalized Advantage Function for continuous control problems + PER and N-step Method
User: by571
prioritized-experience-replay,PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL + D2RL and parallel Environments.
User: by571
prioritized-experience-replay,A novel DDPG method with prioritized experience replay (IEEE SMC 2017)
User: cardwing
prioritized-experience-replay,Applying the DQN-Agent from keras-rl to Starcraft 2 Learning Environment and modding it to to use the Rainbow-DQN algorithms.
User: chucnorrisful
prioritized-experience-replay,Using N-step dueling DDQN with PER for playing Pacman game
User: cocolico14
prioritized-experience-replay,Implementation code when learning deep reinforcement learning
User: darriusl
prioritized-experience-replay,Implementation and evaluation of the RL algorithm Rainbow to learn to play Atari games.
User: davide97l
prioritized-experience-replay,In this project, I attempt to solve fetch and slide open gym environment with Hindsight Experience Replay and the I experiment with Prioritised experience replay to see if there are any performance improvements
User: deconvfft
prioritized-experience-replay,Applying the Trading Deep Q-Network algorithm (TDQN) on shares in the hydrogen sector.
User: demacialarz
prioritized-experience-replay,RL based agent for atari games
User: dsinghnegi
prioritized-experience-replay,A deep q-network AI agent that learns to collect bananas in a Unity environment
User: elinorwahl
prioritized-experience-replay,This project aims apply Dueling Deep Q Learning with Prioritized experience to play game 2048
User: felipemarcelino
prioritized-experience-replay,implementation of reinforcement learning algorithm that is easy to read and understand
User: git-123-hub
prioritized-experience-replay,Another Addition to the Pile of Deep Q Learning, Double DQN, PER, Dueling DQN Implementations
User: goktug97
prioritized-experience-replay,Mapless Collision Avoidance of Turtlebot3 Mobile Robot Using DDPG and Prioritized Experience Replay
User: hanlinniu
Home Page: https://github.com/hanlinniu/turtlebot3_ddpg_collision_avoidance
prioritized-experience-replay,Prioritized Experience Replay implementation with proportional prioritization
User: howuhh
prioritized-experience-replay,Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...
User: iffix
prioritized-experience-replay,A PyTorch implementation of the DRR framework (deep reinforcement learning, DDPG, PER, PMF) as it applies to restaurant recommendation.
User: irskid5
prioritized-experience-replay,Implementation of Deep Deterministic Policy Gradient (DDPG) with Prioritized Experience Replay (PER)
User: jonathan-pearce
prioritized-experience-replay,This repository implements the use of AI for robot tasks.
User: kanishknavale
prioritized-experience-replay,The DDPG algorithm incorporates Actor-Critic Deep Learning Agent for solving continuous action reinforcement learning problems.
User: kanishknavale
prioritized-experience-replay,RLCodebase: PyTorch Codebase For Deep Reinforcement Learning Algorithms
User: karlxing
prioritized-experience-replay,Repository for codes of 'Deep Reinforcement Learning'
User: kyushik
prioritized-experience-replay,Lightweight deep RL Libraray for discrete control.
User: lqnew
prioritized-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
prioritized-experience-replay,A basic reinforcement learning library in PHP
User: mattjmattj
prioritized-experience-replay,Autonomous Driving W/ Deep Reinforcement Learning in Lane Keeping - DDQN and SAC with kinematics/birdview-images
User: mozturan
prioritized-experience-replay,Pytorch implementation of distributed deep reinforcement learning
User: neka-nat
prioritized-experience-replay,A Torch Based RL Framework for Rapid Prototyping of Research Papers
User: philtabor
prioritized-experience-replay,强化学习算法库,包含了目前主流的强化学习算法(Value based and Policy based)的代码,代码都经过调试并可以运行
User: phoenix-shen
prioritized-experience-replay,Implementation of Deep Reinforcement Learning algorithms in the Unity game engine.
User: qasimwani
prioritized-experience-replay,Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
User: qfettes
prioritized-experience-replay,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.
User: rahul-choudhary-3614
prioritized-experience-replay,Reinforcement learning agent using dqqn, dueling network, per to play the google chrome trex browser game.
User: rybread1
prioritized-experience-replay,Implementations of deep reinforcement learning algorithms.
User: rystrauss
prioritized-experience-replay,Modularized Implementation of Deep RL Algorithms in PyTorch
User: shangtongzhang
prioritized-experience-replay,PyTorch implementation of various reinforcement learning algorithms
User: txzhao
prioritized-experience-replay,Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)
User: xinjinghao
prioritized-experience-replay,Modular-HER is revised from OpenAI baselines and supports many improvements for Hindsight Experience Replay as modules.
User: yangrui2015
prioritized-experience-replay,Ms Pacman DDQN Agent
User: yatshunlee
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