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atari
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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
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Mar 3, 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
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Nov 1, 2018 - Python
SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's architecture.
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Mar 26, 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
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May 11, 2020 - Python
Python library for Reinforcement Learning experiments.
reinforcement-learning
qlearning
deep-learning
deep-reinforcement-learning
openai-gym
pytorch
dqn
rl
atari
ddpg
trpo
mujoco
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May 29, 2020 - Python
thrust26
commented
Aug 14, 2017
Stella behaves differently when providing wrong command line parameters:
- if a parameter is wrong, the launcher starts instead
- if the ROM is not found, an error is output to stdout (invisible when not using a CLI) and Stella is not started
We should make this at least consistent and maybe also provide error information which is visible outside CLI use. Therefore I suggest that the launcher
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
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May 25, 2020 - Jupyter Notebook
Open source implementation of the PAAC algorithm presented in Efficient Parallel Methods for Deep Reinforcement Learning
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Jun 3, 2017 - Python
An `openai/atari-py` fork with Windows support and removed zlib/libpng dependencies. Binaries (wheels) are on "Releases" tab.
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Nov 16, 2019 - C++
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
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Dec 4, 2019 - Python
A high-performance Atari A3C agent in 180 lines of PyTorch
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Jan 6, 2020 - Python
Reinforcement learning framework to accelerate research
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May 28, 2020 - Python
Atari - Deep Reinforcement Learning algorithms in TensorFlow
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Apr 23, 2020 - Python
A working implementation of the Categorical DQN (Distributional RL).
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Apr 7, 2018 - Python
Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro
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Mar 30, 2020 - Python
FastBasic - Fast BASIC interpreter for the Atari 8-bit computers
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May 30, 2020 - Assembly
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
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Nov 7, 2017 - Python
Decompression routines for ancient formats
gzip
amiga
bzip2
retrocomputing
data-compression
retrogaming
atari
decompressor
decompression-library
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May 28, 2020 - C++
Arcade Learning Environment (ALE) wrapped as a Reinforce.jl environment
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May 5, 2020 - Julia
tensorflow implementation of DQN, Dueling DQN and Double DQN performed on Atari Breakout
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Jun 22, 2018 - Python
Implementation of Deep/Double Deep/Dueling Deep Q networks for playing Atari games using Keras and OpenAI gym
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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
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Jul 18, 2019 - C++
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
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Mar 12, 2020 - Python
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
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Oct 29, 2019 - Python
TensorFlow & Keras implementation of DQN with HER (Hindsight Experience Replay)
reinforcement-learning
deep-learning
tensorflow
keras
artificial-intelligence
dqn
neural-networks
atari
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Oct 23, 2019 - Python
A collection of Deep Reinforcement Learning algorithms implemented in tensorflow. Very extensible. High performing DQN implementation.
agent
machine-learning
deep-learning
tensorflow
atari2600
deep-reinforcement-learning
q-learning
artificial-intelligence
dqn
artificial-neural-networks
atari
drl
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Apr 1, 2017 - Python
Pytorch implementation of the PAAC algorithm presented in Efficient Parallel Methods for Deep Reinforcement Learning https://arxiv.org/abs/1705.04862
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Jan 25, 2018 - Python
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