Crypto traderQ-Learning Based Cryptocurrency Trader and Portfolio Optimizer for the Poloniex Exchange
Stars: ✭ 184 (-8.46%)
Rl Book Challengeself-studying the Sutton & Barto the hard way
Stars: ✭ 146 (-27.36%)
ElfAn End-To-End, Lightweight and Flexible Platform for Game Research
Stars: ✭ 2,057 (+923.38%)
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 (-27.86%)
Drl4recsysCourses on Deep Reinforcement Learning (DRL) and DRL papers for recommender systems
Stars: ✭ 196 (-2.49%)
MachinReinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...
Stars: ✭ 145 (-27.86%)
Data Science ToolkitCollection of stats, modeling, and data science tools in Python and R.
Stars: ✭ 169 (-15.92%)
Awesome Game AiAwesome Game AI materials of Multi-Agent Reinforcement Learning
Stars: ✭ 185 (-7.96%)
CherryA PyTorch Library for Reinforcement Learning Research
Stars: ✭ 143 (-28.86%)
Flappy EsFlappy Bird AI using Evolution Strategies
Stars: ✭ 140 (-30.35%)
Awesome Ml CoursesAwesome free machine learning and AI courses with video lectures.
Stars: ✭ 2,145 (+967.16%)
SavnLearning to Learn how to Learn: Self-Adaptive Visual Navigation using Meta-Learning (https://arxiv.org/abs/1812.00971)
Stars: ✭ 135 (-32.84%)
Deeprl AgentsA set of Deep Reinforcement Learning Agents implemented in Tensorflow.
Stars: ✭ 2,149 (+969.15%)
Reinforcement learning in pythonImplementing Reinforcement Learning, namely Q-learning and Sarsa algorithms, for global path planning of mobile robot in unknown environment with obstacles. Comparison analysis of Q-learning and Sarsa
Stars: ✭ 134 (-33.33%)
CoaxThis project was moved to: https://github.com/coax-dev/coax
Stars: ✭ 166 (-17.41%)
Holdem🃏 OpenAI Gym No Limit Texas Hold 'em Environment for Reinforcement Learning
Stars: ✭ 135 (-32.84%)
RavensTrain robotic agents to learn pick and place with deep learning for vision-based manipulation in PyBullet. Transporter Nets, CoRL 2020.
Stars: ✭ 133 (-33.83%)
Rl Baselines3 ZooA collection of pre-trained RL agents using Stable Baselines3, training and hyperparameter optimization included.
Stars: ✭ 161 (-19.9%)
Reinforcement learningImplementation of selected reinforcement learning algorithms in Tensorflow. A3C, DDPG, REINFORCE, DQN, etc.
Stars: ✭ 132 (-34.33%)
Vizdoom Keras RlReinforcement Learning in Keras on VizDoom
Stars: ✭ 130 (-35.32%)
MjrlReinforcement learning algorithms for MuJoCo tasks
Stars: ✭ 162 (-19.4%)
AixijsAIXIjs - General Reinforcement Learning in the Browser
Stars: ✭ 128 (-36.32%)
Dm envA Python interface for reinforcement learning environments
Stars: ✭ 127 (-36.82%)
Tf Adnet TrackingDeep Object Tracking Implementation in Tensorflow for 'Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning(CVPR 2017)'
Stars: ✭ 162 (-19.4%)
Rl Collision AvoidanceImplementation of the paper "Towards Optimally Decentralized Multi-Robot Collision Avoidance via Deep Reinforcement Learning"
Stars: ✭ 125 (-37.81%)
Simple rlA simple framework for experimenting with Reinforcement Learning in Python.
Stars: ✭ 179 (-10.95%)
Srl ZooState Representation Learning (SRL) zoo with PyTorch - Part of S-RL Toolbox
Stars: ✭ 125 (-37.81%)
ParlA high-performance distributed training framework for Reinforcement Learning
Stars: ✭ 2,348 (+1068.16%)
Rl QuadcopterTeach a Quadcopter How to Fly!
Stars: ✭ 124 (-38.31%)
Naf Tensorflow"Continuous Deep Q-Learning with Model-based Acceleration" in TensorFlow
Stars: ✭ 192 (-4.48%)
Rl MedicalDeep Reinforcement Learning (DRL) agents applied to medical images
Stars: ✭ 123 (-38.81%)
MultiagenttorcsThe multi-agent version of TORCS for developing control algorithms for fully autonomous driving in the cluttered, multi-agent settings of everyday life.
Stars: ✭ 122 (-39.3%)
Reinforce.jlAbstractions, algorithms, and utilities for reinforcement learning in Julia
Stars: ✭ 178 (-11.44%)
Pytorch RlTutorials for reinforcement learning in PyTorch and Gym by implementing a few of the popular algorithms. [IN PROGRESS]
Stars: ✭ 121 (-39.8%)
SenseactSenseAct: A computational framework for developing real-world robot learning tasks
Stars: ✭ 153 (-23.88%)
FiredupClone of OpenAI's Spinning Up in PyTorch
Stars: ✭ 119 (-40.8%)
AilearnnotesArtificial Intelligence Learning Notes.
Stars: ✭ 195 (-2.99%)
Machine learning lecturesCollection of lectures and lab lectures on machine learning and deep learning. Lab practices in Python and TensorFlow.
Stars: ✭ 118 (-41.29%)
Iccv2019 LearningtopaintICCV2019 - A painting AI that can reproduce paintings stroke by stroke using deep reinforcement learning.
Stars: ✭ 1,995 (+892.54%)
Deep AlgotradingA resource for learning about deep learning techniques from regression to LSTM and Reinforcement Learning using financial data and the fitness functions of algorithmic trading
Stars: ✭ 173 (-13.93%)
TradzqaiTrading environnement for RL agents, backtesting and training.
Stars: ✭ 150 (-25.37%)
KbganCode for "KBGAN: Adversarial Learning for Knowledge Graph Embeddings" https://arxiv.org/abs/1711.04071
Stars: ✭ 186 (-7.46%)
Energy PyReinforcement learning for energy systems
Stars: ✭ 148 (-26.37%)
ReleaseDeep Reinforcement Learning for de-novo Drug Design
Stars: ✭ 201 (+0%)
PaacOpen source implementation of the PAAC algorithm presented in Efficient Parallel Methods for Deep Reinforcement Learning
Stars: ✭ 196 (-2.49%)
Gym SokobanSokoban environment for OpenAI Gym
Stars: ✭ 186 (-7.46%)
AtariAI research environment for the Atari 2600 games 🤖.
Stars: ✭ 174 (-13.43%)
Open QuadrupedAn open-source 3D-printed quadrupedal robot. Intuitive gait generation through 12-DOF Bezier Curves. Full 6-axis body pose manipulation. Custom 3DOF Leg Inverse Kinematics Model accounting for offsets.
Stars: ✭ 148 (-26.37%)