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pilco-1

Using Pilco algorithm to find a controller for few robotic problems

pilco-gpytorch

pinn_code_sample

PINN_code_sample

ppo-lstm-parallel

ppo-lstm-parallel

ppo-pytorch

Proximal policy optimization in PyTorch. Easy to read and understand.

pybullet-gym

Open-source implementations of OpenAI Gym MuJoCo environments for use with the OpenAI Gym Reinforcement Learning Research Platform.

pyfly

pygent

Thesis: Application of Reinforcement Learning for the Control of Nonlinear Dynamical Systems

pygpgo

Bayesian optimization for Python

pysindy

A package for the sparse identification of nonlinear dynamical systems from data

python-sty

Embed Python in LaTeX

pythonlinearnonlinearcontrol

PythonLinearNonLinearControl is a library implementing the linear and nonlinear control theories in python.

pythonrobotics

Python sample codes for robotics algorithms.

pytorch-hessianfree

PyTorch implementation of Hessian Free optimisation

pytorch-lbfgs

A PyTorch implementation of L-BFGS.

pytorch-rdpg

PyTorch Implementation of the RDPG (Recurrent Deterministic Policy Gradient)

pytorch-rl

PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.

pytorch_cem

Cross Entropy Method implemented in pytorch

quadcopter_simulator

A quadcopter simulator with single and multi-quad simulations

quadrotor_fslqr_matlab_sim

queues

A Common Lisp queue library with features such as non-consing thread safe queues and fibonacci priority queues

r2l

Recurrent continuous reinforcement learning algorithms implemented in Pytorch.

range-finder

rdpg

Implementation of Recurrent Deterministic Policy Gradient.

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

reinforcement-learning-1

Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

reinforcement_learning_tutorial_with_demo

Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..

rl-adventure-2

PyTorch0.4 implementation of: actor critic / proximal policy optimization / acer / ddpg / twin dueling ddpg / soft actor critic / generative adversarial imitation learning / hindsight experience replay

rl-texplore-ros-pkg

Automatically exported from code.google.com/p/rl-texplore-ros-pkg

rllab

rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.