#
stable-baselines
Here are 50 public repositories matching this topic...
A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.
reinforcement-learning
optimization
openai-gym
hyperparameters
openai
gym
hyperparameter-optimization
rl
zoo
hyperparameter-tuning
hyperparameter-search
pybullet
stable-baselines
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Feb 6, 2021 - Python
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
reinforcement-learning
robotics
optimization
lab
openai
gym
hyperparameter-optimization
rl
sde
hyperparameter-tuning
hyperparameter-search
pybullet
stable-baselines
pybullet-environments
tuning-hyperparameters
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Updated
Sep 8, 2021 - Python
Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019
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Feb 6, 2021 - Jupyter Notebook
Implementation of reinforcement learning approach to make a car learn to drive smoothly in minutes
simulator
reinforcement-learning
unity
openai
gym
vae
self-driving-car
rl
sac
srl
donkey-car
state-representation-learning
stable-baselines
soft-actor-critic
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Updated
Nov 6, 2020 - Python
Mirror of Stable-Baselines: a fork of OpenAI Baselines, implementations of reinforcement learning algorithms
python
machine-learning
reinforcement-learning
openai-gym
toolbox
openai
gym
rl
baselines
stable-baselines
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Updated
Apr 6, 2021 - Python
Colab notebooks part of the documentation of Stable Baselines reinforcement learning library
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Updated
Sep 2, 2021 - Jupyter Notebook
Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code
machine-learning
research
reinforcement-learning
experimental
robotics
pytorch
openai
gym
reinforcement-learning-algorithms
rl
sde
stable-baselines
gsde
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Updated
Sep 8, 2021 - Python
Stable Baselines官方文档中文版
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Feb 21, 2021 - Python
A collection of pre-trained RL agents using Stable Baselines3
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Jul 1, 2021
MovieLens recommendation system using reinforcement learning (GYM + PPO)
reinforcement-learning
gym
recommendation-system
recommendation
movielens
gym-environment
ppo
stable-baselines
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Updated
Jul 8, 2020 - Python
A graphical inteface for reinforcement learning and gym-based environments. Integrates tensorboard and various configuration utilities for ease of usage.
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Aug 25, 2021 - Python
A well-documented A2C written in PyTorch
python
deep-neural-networks
reinforcement-learning
deep-learning
deep-reinforcement-learning
openai-gym
python3
pytorch
reinforcement-learning-algorithms
advantage
actor-critic
pytorch-tutorial
reinforcement-learning-agent
advantage-actor-critic
a2c
baselines
pytorch-implementation
stable-baselines
episode-rollout
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Jun 3, 2019 - Python
RL Reach is a platform for running reproducible reinforcement learning experiments.
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Updated
Apr 30, 2021 - Python
Attention-based Curiosity-driven Exploration in Deep Reinforcement Learning
reinforcement-learning
openai-gym
pytorch
rcm
reinforcement-learning-algorithms
attention
icm
attention-mechanism
curiosity
pytorch-rl
a2c
pytorch-implementation
exploration-strategy
stable-baselines
curiosity-driven
intrinsic-reward
intrinsic-curiosity-module
curiosity-rl
atta2c
rational-curiosity
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Nov 27, 2019 - Jupyter Notebook
Mirror Descent Policy Optimization
reinforcement-learning
deep-learning
deep-reinforcement-learning
deep-learning-algorithms
sac
trpo
deep-rl
ppo
deep-learning-ai
policy-optimization
stable-baselines
model-free-rl
mirror-descent
mdpo
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Updated
Oct 31, 2020 - Python
Pytorch Implementation of Policy Distillation for control, which has well-trained teachers via stable_baselines3.
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Updated
May 25, 2021 - Python
NFVdeep: Deep Reinforcement Learning for Online Orchestration of Service Function Chains
python
machine-learning
reinforcement-learning
networking
deep-learning
virtualization
python3
orchestration
nfv
sfc
vnf-management
stable-baselines
vnf-placement
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Updated
Mar 31, 2021 - Python
An open source robot reinforcement learing plantform using stable-baselines and OpenAI Gym
reinforcement-learning
robot
openai-gym
imitation-learning
pybullet
stable-baselines
laikago
mini-cheetah
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Aug 25, 2021 - Python
A trading bitcoin agent was created with deep reinforcement learning implementations. Various experiments were performed on the type of neural network, the type of reinforcement learning algorithm and the number of daily input values that initially required from agent to make the first decision. Also, the agent was made with the assumption that for each day could ‘Sell’ or ‘Buy’.
deep-learning
trading-bot
deep-reinforcement-learning
cryptocurrency
reinforcement-learning-algorithms
lstm-neural-networks
multilayer-perceptron-network
time-series-analysis
trust-region-policy-optimization
gym-environment
proximal-policy-optimization
actor-critic-algorithm
stable-baselines
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Jul 23, 2021 - Jupyter Notebook
Training in bursts for defending against adversarial policies
reinforcement-learning
gym
ray
multiagent-reinforcement-learning
adversarial-examples
population-based-training
rllib
stable-baselines
tensorflow2
adversarial-policies
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Dec 8, 2020 - Python
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Oct 3, 2019 - Python
Teaching a neural network how to write letters and digits with reinforcement learning.
machine-learning
reinforcement-learning
ai
neural-network
conda
mnist
digits
letters
emnist
ppo
acktr
openai-gym-environment
stable-baselines
ppo2
learning-to-write
emnist-dataset
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Updated
Jul 31, 2019 - Python
一些簡單的遊戲,用來驗證強化學習中使用動作遮罩的效果及影響
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Jul 22, 2021 - Python
Demo for hyperparameter tuning with tune using an DQN example from Udacity for OpenAI gym
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Updated
Feb 22, 2021 - Python
Novel learned communication protocol for coordinating data distribution within collaborative robot teams
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Updated
Jul 11, 2021 - Python
Multi-step Greedy Reinforcement Learning Algorithms
reinforcement-learning
deep-learning
tensorflow
deep-reinforcement-learning
dqn
trpo
stable-baselines
multi-step-rl
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Updated
Dec 4, 2020 - Python
A basic implementation of imitation learning using Stable Baselines 2.10
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Aug 30, 2020 - Python
Reinforcement learning with Godot
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Jul 4, 2021 - GDScript
This is the Tic-Tac-Toe game made with Python using the PyGame library and the Gym library to implement the AI with Reinforcement Learning
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Jul 8, 2021 - Jupyter Notebook
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I'll post it as a question as I am not quite sure that it is a bug. I have been experimenting for a while with the library in a custom environment for a school project and I am really interested in the reproducibility of the result. I have read the disclaimer in the documentation that reads that reproducible results are not guaranteed across multiple platforms or different versions of Pytorch. Ho