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Deep reinforcement learning without experience replay, target networks, or batch updates.
Asynchronous Reinforcement Learning for UR5 Robotic Arm
18.335 - Introduction to Numerical Methods course
A repository in preparation for open-sourcing lottery ticket hypothesis code.
Autoregressive policies for continuous control reinforcement learning
Collection of reinforcement learning algorithms
hill-a / stable-baselines
Forked from openai/baselinesA fork of OpenAI Baselines, implementations of reinforcement learning algorithms
Reinforcement learning with unsupervised auxiliary tasks
Reinforcement learning with unsupervised auxiliary tasks
Super simple fit method for PyTorch Modules
Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
SenseAct: A computational framework for developing real-world robot learning tasks
A Python toolkit used to train reinforcement learning algorithms against arcade games
Open-Source Releases of the Phoenix Tail-sitter Drone Project
State Representation Learning (SRL) zoo with PyTorch - Part of S-RL Toolbox
S-RL Toolbox: Reinforcement Learning (RL) and State Representation Learning (SRL) for Robotics
Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Setup Ubuntu 18.04, 16.04 and 14.04 with machine learning and robotics software plus user configuration. Includes ceres tensorflow ros caffe vrep eigen cudnn and cuda plus many more.
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
Reinforcement learning environments with musculoskeletal models
A C++ framework for MDPs and POMDPs with Python bindings
Abstractions, algorithms, and utilities for reinforcement learning in Julia
Arcade Learning Environment (ALE) wrapped as a Reinforce.jl environment