VC122495's Stars
openai/gym
A toolkit for developing and comparing reinforcement learning algorithms.
The-Run-Philosophy-Organization/run
润学全球官方指定GITHUB,整理润学宗旨、纲领、理论和各类润之实例;解决为什么润,润去哪里,怎么润三大问题; 并成为新**人的核心宗教,核心信念。
opendilab/awesome-RLHF
A curated list of reinforcement learning with human feedback resources (continually updated)
opendilab/DI-engine
OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.
seungeunrho/minimalRL
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
boyu-ai/Hands-on-RL
https://hrl.boyuai.com/
astooke/rlpyt
Reinforcement Learning in PyTorch
HumanCompatibleAI/imitation
Clean PyTorch implementations of imitation and reward learning algorithms
Lizhi-sjtu/DRL-code-pytorch
Concise pytorch implements of DRL algorithms, including REINFORCE, A2C, DQN, PPO(discrete and continuous), DDPG, TD3, SAC.
opendilab/awesome-decision-transformer
A curated list of Decision Transformer resources (continually updated)
openai/imitation
Code for the paper "Generative Adversarial Imitation Learning"
microsoft/AirSim-NeurIPS2019-Drone-Racing
Drone Racing @ NeurIPS 2019, built on Microsoft AirSim
RLE-Foundation/RLeXplore
RLeXplore provides stable baselines of exploration methods in reinforcement learning, such as intrinsic curiosity module (ICM), random network distillation (RND) and rewarding impact-driven exploration (RIDE).
nikhilbarhate99/Hierarchical-Actor-Critic-HAC-PyTorch
PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments
MarcoMeter/episodic-transformer-memory-ppo
Clean baseline implementation of PPO using an episodic TransformerXL memory
MarcoMeter/recurrent-ppo-truncated-bptt
Baseline implementation of recurrent PPO using truncated BPTT
MarcoMeter/endless-memory-gym
Challenging Memory-based Deep Reinforcement Learning Agents
Improbable-AI/eipo
Official codebase for Redeeming Intrinsic Rewards via Constrained Policy Optimization
eanswer/LearningToFly
[SIGGRAPH 2019] Learning to Fly: Computational Controller Design for Hybrid UAVs with Reinforcement Learning
AirSimDroneSimulator/AirSim
ChengshuLi/HRL4IN
Code for CoRL 2019 paper: HRL4IN: Hierarchical Reinforcement Learning for Interactive Navigation with Mobile Manipulators
bilalkabas/PPO-based-Autonomous-Navigation-for-Quadcopters
Deep Reinforcement Learning based autonomous navigation for quadcopters using PPO algorithm.
bilalkabas/DRL-Nav
Deep Reinforcement Learning based autonomous navigation in realistic simulation environments.
MarcoMeter/neroRL
Deep Reinforcement Learning Framework done with PyTorch
MarcoMeter/Unity-ML-Environments
This repository features game simulations as machine learning environments to experiment with deep learning approaches such as deep reinforcement learning inside of Unity.
ysbsb/airsim_quadrotor_pytorch
Pytorch implementation of reinforcement learning environment for Microsoft AirSim Unity quadrotor
batuhan3526/AirSim-PyTorch-Drone-DDQN-Agent
This code is the result of the collaboration of RL Turkey team.
MarcoMeter/StarcraftNeuralNetAi
This is the implementation of my Bachelor Thesis
Hauf3n/GoExplore-Atari-PyTorch
Implementation of First return, then explore (Go-Explore)
ryanrudes/VQVAE-Clean