#
atari
Here are 279 public repositories matching this topic...
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).
reinforcement-learning
deep-learning
deep-reinforcement-learning
pytorch
atari
hessian
second-order
continuous-control
actor-critic
ale
mujoco
proximal-policy-optimization
ppo
advantage-actor-critic
a2c
acktr
natural-gradients
roboschool
kfac
kronecker-factored-approximation
-
Updated
Aug 29, 2020 - Python
SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's architecture.
-
Updated
Sep 17, 2020 - Python
A3C LSTM Atari with Pytorch plus A3G design
python
reinforcement-learning
deep-reinforcement-learning
openai-gym
pytorch
a3c
atari
actor-critic
pytorch-a3c
asynchronous-advantage-actor-critic
a3c-gpu
a3g
-
Updated
Nov 1, 2018 - Python
Python library for Reinforcement Learning.
reinforcement-learning
qlearning
deep-learning
deep-reinforcement-learning
openai-gym
pytorch
dqn
rl
atari
ddpg
sac
trpo
mujoco
pybullet
-
Updated
Oct 1, 2020 - Python
A curated list of Monte Carlo tree search papers with implementations.
learning
machine-learning
reinforcement-learning
deep-learning
monte-carlo
machine-learning-algorithms
q-learning
policy-gradient
reinforcement-learning-algorithms
rl
tree-search
atari
policy-evaluation
monte-carlo-tree-search
deep-q-learning
reinforcement-learning-agent
-
Updated
Aug 2, 2020 - Python
A binary release of trained deep reinforcement learning models trained in the Atari machine learning benchmark, and a software release that enables easy visualization and analysis of models, and comparison across training algorithms.
machine-learning
research
ai
deep-learning
uber
deep-reinforcement-learning
artificial-intelligence
machinelearning
atari
training-algorithm
-
Updated
May 25, 2020 - Jupyter Notebook
Project for capturing vintage, classic, aka old computer schematics in KiCad.
-
Updated
Sep 9, 2020
Open source implementation of the PAAC algorithm presented in Efficient Parallel Methods for Deep Reinforcement Learning
-
Updated
Jun 3, 2017 - Python
AI research environment for the Atari 2600 games 🤖 .
python
machine-learning
reinforcement-learning
ai
ml
space-invaders
artificial-intelligence
dqn
gym
breakout
rl
atari
python2
ddqn
q-l
-
Updated
Dec 4, 2019 - Python
Reinforcement learning framework to accelerate research
-
Updated
Oct 7, 2020 - Python
An `openai/atari-py` fork with Windows support and removed zlib/libpng dependencies. Binaries (wheels) are on "Releases" tab.
-
Updated
Jul 26, 2020 - C++
A high-performance Atari A3C agent in 180 lines of PyTorch
-
Updated
Jan 6, 2020 - Python
Atari - Deep Reinforcement Learning algorithms in TensorFlow
-
Updated
Oct 7, 2020 - Python
Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro
-
Updated
Sep 25, 2020 - Python
A working implementation of the Categorical DQN (Distributional RL).
-
Updated
Apr 7, 2018 - Python
tschak909
commented
Jul 27, 2020
This ticket is being provided for tracking disk image compatibility issues that need to be resolved. Feel free to add comment and attach relevant disk images to check against, so that we can knock out these issues quickly.
Decompression routines for ancient formats
gzip
amiga
bzip2
retrocomputing
data-compression
retrogaming
atari
decompressor
decompression-library
-
Updated
Sep 13, 2020 - C++
FastBasic - Fast BASIC interpreter for the Atari 8-bit computers
-
Updated
Sep 20, 2020 - C
Get started with Machine Learning in TensorFlow with a selection of good reads and implemented examples!
machine-learning
reinforcement-learning
tensorflow
deep-reinforcement-learning
recurrent-neural-networks
mnist
dqn
neural-networks
convolutional-neural-networks
atari
deepmind
gridworld
-
Updated
Nov 7, 2017 - Python
Reinforcement Learning | tensorflow implementation of DQN, Dueling DQN and Double DQN performed on Atari Breakout
-
Updated
Jun 22, 2018 - Python
A Universal Deep Reinforcement Learning Framework
environment
games
reinforcement-learning
deep-learning
deep-reinforcement-learning
human
multi-agent
reinforcement-learning-algorithms
multiplayer-game
multi-objective-optimization
atari
actor-critic
human-in-the-loop
arcade-learning-environment
actor-critic-algorithm
multi-agent-reinforcement-learning
policy-gradients
-
Updated
Sep 26, 2020 - Python
Implementation of Deep/Double Deep/Dueling Deep Q networks for playing Atari games using Keras and OpenAI gym
-
Updated
Sep 23, 2018 - Python
A Repository with C++ implementations of Reinforcement Learning Algorithms (Pytorch)
python
machine-learning
google
deep-neural-networks
reinforcement-learning
deep-learning
cpp
robotics
tensorflow
keras
openai-gym
pytorch
gan
openai
gym
vae
reinforcement-learning-algorithms
atari
deepmind
mujoco
-
Updated
Jul 18, 2019 - C++
Learning Finite State Representations of Recurrent Policy Networks
deep-reinforcement-learning
pytorch
recurrent-neural-networks
finite-state-machine
tomita
atari
quantization
bottleneck
interpretability
moore-machine
explainable-artificial-intelligence
-
Updated
Oct 29, 2019 - Python
Arcade Learning Environment (ALE) wrapped as a Reinforce.jl environment
-
Updated
May 5, 2020 - Julia
TensorFlow & Keras implementation of DQN with HER (Hindsight Experience Replay)
reinforcement-learning
deep-learning
tensorflow
keras
artificial-intelligence
dqn
neural-networks
atari
-
Updated
Jul 31, 2020 - Python
Improve this page
Add a description, image, and links to the atari topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the atari topic, visit your repo's landing page and select "manage topics."
https://github.com/libretro/blastem-libretro
Alternative Genesis Core with ARM support.