arshsagar's Stars
hbayerlein/uav_data_harvesting
Python implementation of DDQN multi-UAV data harvesting
cardwing/Codes-for-RL-PER
A novel DDPG method with prioritized experience replay (IEEE SMC 2017)
awjuliani/Meta-RL
Implementation of Meta-RL A3C algorithm
seungeunrho/minimalRL
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
DLR-RM/rl-baselines3-zoo
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
adik993/ppo-pytorch
Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)
rail-berkeley/rlkit
Collection of reinforcement learning algorithms
uber-research/ape-x
This repo replicates the results Horgan et al obtained in "Distributed Prioritized Experience Replay"
microsoft/IBAC-SNI
Code to reproduce the NeurIPS 2019 paper "Generalization in Reinforcement Learning with Selective Noise Injection and Information Bottleneck" by Maximilian Igl, Kamil Ciosek, Yingzhen Li, Sebastian Tschiatschek, Cheng Zhang, Sam Devlin and Katja Hofmann.
kengz/awesome-deep-rl
A curated list of awesome Deep Reinforcement Learning resources.
Kyziridis/BipedalWalker-v2
Solving openAI's game 'BipedalWalker-v2' with Deep Reinforcement Learning
rgilman33/simple-A2C-PPO
Actor-critic trained w PPO on OpenAI's Procgen Benchmark (PyTorch). Built from scratch.
RunzheYang/MORL
Multi-Objective Reinforcement Learning
yusukeurakami/dreamer-pytorch
pytorch-implementation of Dreamer (Model-based Image RL Algorithm)
quantumiracle/Popular-RL-Algorithms
PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..
MishaLaskin/rad
RAD: Reinforcement Learning with Augmented Data
lcswillems/rl-starter-files
RL starter files in order to immediately train, visualize and evaluate an agent without writing any line of code
learnables/cherry
A PyTorch Library for Reinforcement Learning Research
dalmia/David-Silver-Reinforcement-learning
Notes for the Reinforcement Learning course by David Silver along with implementation of various algorithms.
maximilianigl/DVRL
Deep Variational Reinforcement Learning
aravindr93/mjrl
Reinforcement learning algorithms for MuJoCo tasks
chagmgang/tf2.0_reinforcement_learning
Basic reinforcement learning implementation with tensorflow version 2.0
shivaverma/OpenAIGym
Solving OpenAI Gym problems.
ikostrikov/pytorch-ddpg-naf
Implementation of algorithms for continuous control (DDPG and NAF).
pokaxpoka/netrand
Network Randomization: A Simple Technique for Generalization in Deep Reinforcement Learning / ICLR 2020
vikashplus/robohive
A unified framework for robot learning
qfettes/DeepRL-Tutorials
Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
garlicdevs/Fruit-API
A Universal Deep Reinforcement Learning Framework
jannerm/mbpo
Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"
higgsfield/RL-Adventure
Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL