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reinforcement
Here are 76 public repositories matching this topic...
Open source implementation of the PAAC algorithm presented in Efficient Parallel Methods for Deep Reinforcement Learning
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Jun 3, 2017 - Python
Reinforcement learning models in ViZDoom environment
agent
learning
reinforcement-learning
pytorch
doom
behavior-tree
mcts
vizdoom
reinforcement
ppo
doomnet-track1
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Dec 29, 2019 - Python
PyTorch Reinforcement Learning Library for Researchers
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Jun 15, 2020 - Python
A course on Deep Reinforcement Learning in Computer Vision. Visit Website:
computer-vision
course-materials
deep-reinforcement-learning
q-learning
policy-gradient
reinforcement
temporal-differencing-learning
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Mar 21, 2018 - HTML
Contextual Bandits in R - simulation and evaluation of Multi-Armed Bandit Policies
machine-learning
cran
statistics
reinforcement-learning
simulation
evaluation
exploration
exploitation
bandit-learning
reinforcement
multi-armed-bandits
multi-armed-bandit
bandit
contextual-bandits
contextual
cmab
multi-armed
bandit-experiments
contextual-bandit-policies
offline-bandit
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Jul 25, 2020 - R
source code for 'Improving automatic source code summarization via deep reinforcement learning'
code
deep-reinforcement-learning
ast
pytorch
summarization
tree-structure
reinforcement
comment-generation
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Jul 18, 2020 - Python
DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DDPG, TD3, SAC)
deep-reinforcement-learning
dqn
policy-gradient
reinforcement-learning-algorithms
reinforcement
trpo
mujoco
pytorch-rl
ppo
td3
pytorch-implementation
soft-actor-critic
tensorflow2
policygradient
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May 29, 2020 - Python
Autonomous Drone for Object Tracking
tracking
simulator
reinforcement-learning
multirotor
tensorflow
keras
dqn
drones
reinforcement
object-tracking
self-driving
uavs
airsim
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Jun 19, 2018 - Python
Flexible, reusable reinforcement learning (Q learning) implementation in Rust
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Aug 28, 2019 - Rust
Sidekick Policy Learning for Active Visual Exploration (ECCV 2018)
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Jul 15, 2019 - Python
[INACTIVE] A collection of various machine learning solver. The library is an object-oriented approach (baked with Typescript) and tries to deliver simplified interfaces that make using the algorithms pretty simple.
npm
typescript
reinforcement-learning
ai
deep-learning
neural-network
solver
deep-reinforcement-learning
artificial-intelligence
dqn
deepmind
deep-q-network
reinforcement
learning-agents
temporal-differencing-learning
deterministic-policy-gradients
dqn-solver
reinforce-js
td-solver
machine-learning-solver
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Jun 29, 2018 - TypeScript
A deep learning Crazyhouse chess program that uses a Monte Carlo Tree Search (MCTS) based evaluation system and reinforcement to enhance its play style.
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Aug 17, 2019 - Python
Reinforcement learning algorithms implemented using Keras and OpenAI Gym
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Mar 30, 2017 - Python
BARK-ML - Machine Learning for Autonomous Driving
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Aug 6, 2020 - Python
Playing Mountain-Car without reward engineering, by combining DQN and Random Network Distillation (RND)
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Jan 28, 2019 - Python
Open AI Gym version of Berkeley AI Pacman with images as states
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May 4, 2018 - Python
NVIDIA GPU-Accelerated Deep Learning. Reinforcement learning (RL) implementation of imperfect information Chinese game Mahjong. Markov decision processes to predict future Mahjong states
nlp
markov-model
mahjong
reinforcement-learning
computer-vision
reactjs
tensorflow
game-development
markov-chain
supervised-learning
game-theory
deep-q-network
reinforcement
softmax
supervised-machine-learning
npc-generator
deep-neural-network
deep-learning-mahjong
battle-mahjong
game-play
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Mar 27, 2020 - JavaScript
Lane keeping assistant using Reinforcement learning
learning
reinforcement-learning
q-learning
torcs
rl
q
reinforcement
torcs-client
lane-keeping
lane-keeping-assistant
torcs-rl
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May 19, 2020 - Python
Tic Tac Toe with Alpha Zero method - My first work
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Aug 23, 2018 - Python
An intelligent agent that adaptively changes its thought processes to maximize cumulative reward
agent
machine-learning
algorithm
reinforcement-learning
state-machine
decision-making
artificial-intelligence
thought
problem-solving
unsupervised-learning
intelligent-systems
reinforcement
reward
intelligent-agent
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Feb 19, 2017
Some codes used for the numerical examples proposed in https://arxiv.org/abs/1812.05916
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Sep 6, 2019 - Python
Reinforcement Learning Introduction - Selected Exercise Solutions & Experiment Code
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Feb 18, 2019 - Haskell
We use policy gradient to help agents learn optimal policies in a competitive multi-agent contextual bandit setting
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Mar 9, 2018 - Jupyter Notebook
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Sep 19, 2018
This repository contains a python implementation of a Deep Q-Network (DQN) for Atari gameplay using tensorflow.
python
learning
intelligence
deep-neural-networks
reinforcement-learning
tensorflow
deep-reinforcement-learning
deep
dqn
artificial
deepmind
reinforcement
atari-games
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Jan 2, 2019 - Python
Autonomous Aerial Vehicle
agent
machine-learning
reinforcement-learning
drone
quadcopter
machine-learning-algorithms
ml
planning
reinforcement-learning-algorithms
rl
reinforcement
reinforcement-agents
reinforcement-learning-agent
reinforcement-learning-playground
aav
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May 9, 2019 - C#
I implemented the reinforcement learning based model Upper Confidence Bound in both Python and R
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Mar 9, 2018 - Python
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