Data Science ToolkitCollection of stats, modeling, and data science tools in Python and R.
Stars: ✭ 169 (-52.12%)
SARNetCode repository for SARNet: Learning Multi-Agent Communication through Structured Attentive Reasoning (NeurIPS 2020)
Stars: ✭ 14 (-96.03%)
drilDisagreement-Regularized Imitation Learning
Stars: ✭ 25 (-92.92%)
drift drlHigh-speed Autonomous Drifting with Deep Reinforcement Learning
Stars: ✭ 82 (-76.77%)
Rl Baselines3 ZooA collection of pre-trained RL agents using Stable Baselines3, training and hyperparameter optimization included.
Stars: ✭ 161 (-54.39%)
Deep-Reinforcement-Learning-NotebooksThis 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.
Stars: ✭ 15 (-95.75%)
MjrlReinforcement learning algorithms for MuJoCo tasks
Stars: ✭ 162 (-54.11%)
LWDRLCLightweight deep RL Libraray for continuous control.
Stars: ✭ 14 (-96.03%)
Pomdps.jlMDPs and POMDPs in Julia - An interface for defining, solving, and simulating fully and partially observable Markov decision processes on discrete and continuous spaces.
Stars: ✭ 338 (-4.25%)
RL courseThe page of the Ural Federal University course "Reinforcement Learning and Neural Networks"
Stars: ✭ 23 (-93.48%)
ParlA high-performance distributed training framework for Reinforcement Learning
Stars: ✭ 2,348 (+565.16%)
FinRL PodracerCloud-native Financial Reinforcement Learning
Stars: ✭ 179 (-49.29%)
SenseactSenseAct: A computational framework for developing real-world robot learning tasks
Stars: ✭ 153 (-56.66%)
deep-rtsA Real-Time-Strategy game for Deep Learning research
Stars: ✭ 152 (-56.94%)
Iccv2019 LearningtopaintICCV2019 - A painting AI that can reproduce paintings stroke by stroke using deep reinforcement learning.
Stars: ✭ 1,995 (+465.16%)
He4o和(he for objective-c) —— “信息熵减机系统”
Stars: ✭ 284 (-19.55%)
TradzqaiTrading environnement for RL agents, backtesting and training.
Stars: ✭ 150 (-57.51%)
mmnMoore Machine Networks (MMN): Learning Finite-State Representations of Recurrent Policy Networks
Stars: ✭ 39 (-88.95%)
Energy PyReinforcement learning for energy systems
Stars: ✭ 148 (-58.07%)
good robot"Good Robot! Now Watch This!": Repurposing Reinforcement Learning for Task-to-Task Transfer; and “Good Robot!”: Efficient Reinforcement Learning for Multi-Step Visual Tasks with Sim to Real Transfer
Stars: ✭ 84 (-76.2%)
pomdp-baselinesSimple (but often Strong) Baselines for POMDPs in PyTorch - ICML 2022
Stars: ✭ 162 (-54.11%)
Chess Alpha ZeroChess reinforcement learning by AlphaGo Zero methods.
Stars: ✭ 1,868 (+429.18%)
Master-ThesisDeep Reinforcement Learning in Autonomous Driving: the A3C algorithm used to make a car learn to drive in TORCS; Python 3.5, Tensorflow, tensorboard, numpy, gym-torcs, ubuntu, latex
Stars: ✭ 33 (-90.65%)
Rl Book Challengeself-studying the Sutton & Barto the hard way
Stars: ✭ 146 (-58.64%)
neat[ICCV'21] NEAT: Neural Attention Fields for End-to-End Autonomous Driving
Stars: ✭ 194 (-45.04%)
Sumo RlA simple interface to instantiate Reinforcement Learning environments with SUMO for Traffic Signal Control. Compatible with Gym Env from OpenAI and MultiAgentEnv from RLlib.
Stars: ✭ 145 (-58.92%)
pytorch-noreward-rlpytorch implementation of Curiosity-driven Exploration by Self-supervised Prediction
Stars: ✭ 79 (-77.62%)
MachinReinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...
Stars: ✭ 145 (-58.92%)
Pytorch Vsumm ReinforceAAAI 2018 - Unsupervised video summarization with deep reinforcement learning (PyTorch)
Stars: ✭ 283 (-19.83%)
RamudroidRamudroid, autonomous solar-powered robot to clean roads, realtime object detection and webrtc based streaming
Stars: ✭ 22 (-93.77%)
CherryA PyTorch Library for Reinforcement Learning Research
Stars: ✭ 143 (-59.49%)
FinRLFinRL: The first open-source project for financial reinforcement learning. Please star. 🔥
Stars: ✭ 3,497 (+890.65%)
Flappy EsFlappy Bird AI using Evolution Strategies
Stars: ✭ 140 (-60.34%)
interp-e2e-drivingInterpretable End-to-end Urban Autonomous Driving with Latent Deep Reinforcement Learning
Stars: ✭ 159 (-54.96%)
alphastoneUsing self-play, MCTS, and a deep neural network to create a hearthstone ai player
Stars: ✭ 24 (-93.2%)
Pontryagin-Differentiable-ProgrammingA unified end-to-end learning and control framework that is able to learn a (neural) control objective function, dynamics equation, control policy, or/and optimal trajectory in a control system.
Stars: ✭ 111 (-68.56%)
hgailgail, infogail, hierarchical gail implementations
Stars: ✭ 25 (-92.92%)
omdJAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"
Stars: ✭ 43 (-87.82%)
Holdem🃏 OpenAI Gym No Limit Texas Hold 'em Environment for Reinforcement Learning
Stars: ✭ 135 (-61.76%)
FurnitureIKEA Furniture Assembly Environment for Long-Horizon Complex Manipulation Tasks
Stars: ✭ 282 (-20.11%)
Neural Combinatorial Rl PytorchPyTorch implementation of Neural Combinatorial Optimization with Reinforcement Learning https://arxiv.org/abs/1611.09940
Stars: ✭ 329 (-6.8%)
Self Driving TruckSelf-Driving Truck in Euro Truck Simulator 2, trained via Reinforcement Learning
Stars: ✭ 307 (-13.03%)
RlquantApplying Reinforcement Learning in Quantitative Trading
Stars: ✭ 271 (-23.23%)
Object-Goal-NavigationPytorch code for NeurIPS-20 Paper "Object Goal Navigation using Goal-Oriented Semantic Exploration"
Stars: ✭ 107 (-69.69%)
Practical-DRLThis is a practical resource that makes it easier to learn about and apply Practical Deep Reinforcement Learning (DRL) https://ibrahimsobh.github.io/Practical-DRL/
Stars: ✭ 66 (-81.3%)
Deep-rl-mxnetMxnet implementation of Deep Reinforcement Learning papers, such as DQN, PG, DDPG, PPO
Stars: ✭ 26 (-92.63%)
abcSeqGAN but with more bells and whistles
Stars: ✭ 25 (-92.92%)