FatMarilyn's Stars
MoMe36/BranchingDQN
BranchingDQN
atavakol/action-branching-agents
(AAAI 2018) Action Branching Architectures for Deep Reinforcement Learning
sleepybear1113/taobaoVisitingVenues
京东/淘宝的自动浏览逛店脚本
LucienBobo/SOCP_OPF_Nick2017
This is a Matlab implementation of the SOCP augmented relaxation OPF solution method from (Nick et al, 2017), as studied in (Bobo et al, 2020). See README.docx for full references.
do-mpc/do-mpc
Model predictive control python toolbox
Kaixhin/Rainbow
Rainbow: Combining Improvements in Deep Reinforcement Learning
qfettes/DeepRL-Tutorials
Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
adik993/ppo-pytorch
Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)
YangRui2015/Sparse-Reward-Algorithms
Implement many Sparse Reward algorithms in Gym Fetch environment
Curt-Park/rainbow-is-all-you-need
Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow
p-christ/Deep-Reinforcement-Learning-Algorithms-with-PyTorch
PyTorch implementations of deep reinforcement learning algorithms and environments
ray-project/ray
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
higgsfield/RL-Adventure
Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL
astooke/rlpyt
Reinforcement Learning in PyTorch
openai/spinningup
An educational resource to help anyone learn deep reinforcement learning.
dss-extensions/OpenDSSDirect.py
OpenDSSDirect.py: a cross-platform Python package that implements a native/direct library interface to the alternative OpenDSS engine from DSS-Extensions.org
thu-ml/tianshou
An elegant PyTorch deep reinforcement learning library.
RchalYang/pytorch_on_policy_agent
Pytorch Implementation for Policy Gradient Methods
MahanFathi/Model-Based-RL
Model-based Policy Gradients
nikhilbarhate99/Actor-Critic-PyTorch
Policy Gradient Actor-Critic PyTorch | Lunar Lander v2
avani17101/Self-Driving-car
Deep Q-Learning used.The states of the environment are encoded by a vector which is passed as input into the Neural Network.The best action to play is chosen by highest Q-value, or Softmax function.
Pyomo/pyomo
An object-oriented algebraic modeling language in Python for structured optimization problems.
sichu366/Optimization
Optimization models and their applications in power systems
jachiam/cpo
Constrained Policy Optimization
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..
dongminlee94/deep_rl
PyTorch implementation of deep reinforcement learning algorithms
nikhilbarhate99/PPO-PyTorch
Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch
seungeunrho/minimalRL
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
andri27-ts/Reinforcement-Learning
Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
ikostrikov/pytorch-a2c-ppo-acktr-gail
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).