#
atari
Here are 435 public repositories matching this topic...
iOS & tvOS multi-emulator frontend, supporting various Atari, Bandai, NEC, Nintendo, Sega, SNK and Sony console systems… Get Started: https://wiki.provenance-emu.com |
game
macos
emulator
swift
ios
nintendo
gameboy
objective-c
tvos
emulation
nes
snes
sega
playstation
genesis
retrogaming
atari
catalyst
n64
gameboyadvance
-
Updated
Oct 17, 2022 - C
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
May 29, 2022 - Python
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
python
machine-learning
reinforcement-learning
deep-learning
deep-reinforcement-learning
pytorch
gym
atari
actor-critic
ale
proximal-policy-optimization
ppo
advantage-actor-critic
a2c
wandb
phasic-policy-gradient
-
Updated
Oct 19, 2022 - Python
OpenDILab Decision AI Engine
python
reinforcement-learning
impala
reinforcement-learning-algorithms
minigrid
atari
imitation-learning
distributed-system
drl
inverse-reinforcement-learning
r2d2
smac
mujoco
multiagent-reinforcement-learning
pytorch-rl
self-play
model-based-reinforcement-learning
exploration-exploitation
distributed-reinforcement-learning
offline-rl
-
Updated
Oct 19, 2022 - Python
SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's architecture.
-
Updated
Aug 10, 2022 - Python
Mastering Atari with Discrete World Models
machine-learning
research
reinforcement-learning
deep-learning
robotics
artificial-intelligence
atari
video-prediction
world-models
-
Updated
Oct 9, 2022 - 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 20, 2022 - Python
Multiplayer Bluetooth controllers adapter for retro video game consoles
adapter
nintendo
hid
esp32
bluetooth
gamecube
game-controller
snes
dreamcast
sega
playstation
saturn
atari
adaptive
adaptor
nintendo-64
pc-engine
3do
esp32-idf
turbografx-16
-
Updated
Oct 20, 2022 - C
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 23, 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
Sep 19, 2022 - Python
Transformers are Sample Efficient World Models
machine-learning
research
reinforcement-learning
deep-learning
transformers
artificial-intelligence
atari
world-models
-
Updated
Oct 5, 2022 - Python
Project for capturing vintage, classic, aka old computer schematics in KiCad.
-
Updated
Sep 20, 2022 - HTML
Reinforcement learning with tensorflow 2 keras
-
Updated
May 15, 2021 - 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
Aug 30, 2022 - Python
Open source implementation of the PAAC algorithm presented in Efficient Parallel Methods for Deep Reinforcement Learning
-
Updated
Jun 3, 2017 - 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
Reinforcement learning framework to accelerate research
-
Updated
Aug 25, 2021 - 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."