prioritized-experience-replay
There are 95 repositories under prioritized-experience-replay topic.
ShangtongZhang/DeepRL
Modularized Implementation of Deep RL Algorithms in PyTorch
XinJingHao/DRL-Pytorch
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)
qfettes/DeepRL-Tutorials
Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
iffiX/machin
Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...
rlcode/per
Prioritized Experience Replay (PER) implementation in PyTorch
BY571/Soft-Actor-Critic-and-Extensions
PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL + D2RL and parallel Environments.
Kyushik/DRL
Repository for codes of 'Deep Reinforcement Learning'
BY571/DQN-Atari-Agents
DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow, and DRQN
hanlinniu/turtlebot3_ddpg_collision_avoidance
Mapless Collision Avoidance of Turtlebot3 Mobile Robot Using DDPG and Prioritized Experience Replay
BY571/IQN-and-Extensions
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.
Howuhh/prioritized_experience_replay
Prioritized Experience Replay implementation with proportional prioritization
neka-nat/distributed_rl
Pytorch implementation of distributed deep reinforcement learning
philtabor/ProtoRL
A Torch Based RL Framework for Rapid Prototyping of Research Papers
Phoenix-Shen/ReinforcementLearning
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
cardwing/Codes-for-RL-PER
A novel DDPG method with prioritized experience replay (IEEE SMC 2017)
Jonathan-Pearce/DDPG_PER
Implementation of Deep Deterministic Policy Gradient (DDPG) with Prioritized Experience Replay (PER)
Rahul-Choudhary-3614/Deep-Reinforcement-Learning-Notebooks
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.
BY571/FQF-and-Extensions
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.
BY571/Normalized-Advantage-Function-NAF-
PyTorch implementation of the Q-Learning Algorithm Normalized Advantage Function for continuous control problems + PER and N-step Method
KarlXing/RLCodebase
RLCodebase: PyTorch Codebase For Deep Reinforcement Learning Algorithms
makaveli10/reinforcementLearning
Reinforcement Learning - Implementation of Exercises, algorithms from the book Sutton Barto and David silver's RL course in Python, OpenAI Gym.
QasimWani/RL-Unity
Implementation of Deep Reinforcement Learning algorithms in the Unity game engine.
cocolico14/N-step-Dueling-DDQN-PER-Pacman
Using N-step dueling DDQN with PER for playing Pacman game
txzhao/rl-zoo
PyTorch implementation of various reinforcement learning algorithms
BY571/D4PG
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.
irskid5/drr_restaurants
A PyTorch implementation of the DRR framework (deep reinforcement learning, DDPG, PER, PMF) as it applies to restaurant recommendation.
abyaadrafid/Deep-Reinforcement-Learning
To keep track and showcase
YangRui2015/Modular_HER
Modular-HER is revised from OpenAI baselines and supports many improvements for Hindsight Experience Replay as modules.
DemaciaLarz/TDQN-in-keras
Applying the Trading Deep Q-Network algorithm (TDQN) on shares in the hydrogen sector.
baturaysaglam/LA3P
Actor Prioritized Experience Replay
chucnorrisful/dqn
Applying the DQN-Agent from keras-rl to Starcraft 2 Learning Environment and modding it to to use the Rainbow-DQN algorithms.
elinorwahl/unity-navigation-reinforcement-learning
A deep q-network AI agent that learns to collect bananas in a Unity environment
adityajn105/flappy-bird-deep-q-learning
Flappy Bird Game trained on a Double Dueling Deep Q Network with Prioritized Experience Replay
KanishkNavale/AI-for-Robot-Tasks
This repository implements the use of AI for robot tasks.
marcbrittain/Prioritized-Sequence-Experience-Replay
Prioritized Sequence Experience Replay
davide97l/Rainbow
Implementation and evaluation of the RL algorithm Rainbow to learn to play Atari games.