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soft-actor-critic
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A PyTorch library for building deep reinforcement learning agents.
reinforcement-learning
deep-reinforcement-learning
dqn
reinforcement-learning-algorithms
ddpg
sac
deep-q-learning
deep-deterministic-policy-gradient
proximal-policy-optimization
ppo
advantage-actor-critic
a2c
soft-actor-critic
dqn-pytorch
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Aug 25, 2021 - Python
This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Dueling Network, DDPG, SAC, A2C, PPO, TRPO. (More algorithms are still in progress)
algorithm
deep-learning
atari2600
flappy-bird
deep-reinforcement-learning
pytorch
dqn
ddpg
sac
actor-critic
trpo
dueling-dqn
trust-region-policy-optimization
proximal-policy-optimization
ppo
a2c
soft-actor-critic
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Updated
Jan 16, 2021 - Python
PyTorch implementation of soft actor critic
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Updated
Sep 10, 2021 - Python
PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..
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Sep 18, 2021 - Jupyter Notebook
lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.
python
machine-learning
research
reinforcement-learning
deep-learning
deep-reinforcement-learning
pytorch
artificial-intelligence
policy-gradient
ddpg
sac
cem
cmaes
evolution-strategies
mujoco
deep-deterministic-policy-gradient
proximal-policy-optimization
ppo
td3
soft-actor-critic
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Updated
Aug 30, 2021 - Jupyter Notebook
RAD: Reinforcement Learning with Augmented Data
deep-neural-networks
reinforcement-learning
deep-learning
deep-reinforcement-learning
rad
deep-learning-algorithms
rl
codebase
deep-q-network
sac
deep-q-learning
ppo
deeplearning-ai
model-free
off-policy
dm-control
data-
soft-actor-critic
data-augmentations
mujoc
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Updated
Mar 29, 2021 - Jupyter Notebook
32 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.
deep-reinforcement-learning
dqn
cartpole
ddpg
sac
deep-rl-algorithms
ppo
a2c
lunarlander
td3
soft-actor-critic
bipedalwalker
carracing
github-udacity
dqn-ppo-ddpg
hopperbulletenv
antbulletenv
halfcheetahbulletenv
walker2dbulletenv
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Jun 17, 2021 - Jupyter Notebook
PyTorch implementation of Soft Actor-Critic (SAC)
reinforcement-learning
deep-learning
deep-reinforcement-learning
pytorch
gym
sac
continuous-control
actor-critic
mujoco
dm-control
soft-actor-critic
d4pg
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Updated
Mar 12, 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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Nov 6, 2020 - Python
Jax (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.
reinforcement-learning
deep-learning
deep-reinforcement-learning
gym
flax
behavioral-cloning
sac
continuous-control
deep-deterministic-policy-gradient
jax
soft-actor-critic
offline-reinforcement-learning
batch-reinforcement-learning
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Sep 7, 2021 - Jupyter Notebook
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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Aug 25, 2021 - Python
A pytorch tutorial for DRL(Deep Reinforcement Learning)
deep-reinforcement-learning
pytorch
dqn
mcts
uct
c51
iqn
hedge
ppo
a2c
gail
counterfactual-regret-minimization
qr-dqn
random-network-distillation
soft-actor-critic
self-imitation-learning
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Updated
May 27, 2021 - Jupyter Notebook
PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL + D2RL and parallel Environments.
reinforcement-learning
parallel-computing
pytorch
multi-environment
reinforcement-learning-algorithms
continuous
sac
prioritized-experience-replay
actor-critic-algorithm
soft-actor-critic
emphasizing-recent-experience
munchausen-reinforcement-learning
munchausen
d2rl
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Updated
Feb 24, 2021 - Python
PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)
reinforcement-learning
deep-learning
pixels
deep-reinforcement-learning
pytorch
gym
autoencoder
actor-critic
mujoco
image-based
dm-control
soft-actor-critic
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Updated
May 3, 2020 - Python
SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning
deep-neural-networks
reinforcement-learning
deep-learning
deep-reinforcement-learning
rainbow
rl
codebase
deep-q-network
sac
deep-q-learning
mujoco
model-free
off-policy
dm-control
soft-actor-critic
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Updated
Mar 21, 2021 - Python
Combining deep learning and reinforcement learning.
python
reinforcement-learning
tensorflow
deep-reinforcement-learning
openai-gym
policy-gradient
reinforcement-learning-algorithms
sarsa
a3c
soft-actor-critic
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Updated
Jul 29, 2021 - Python
Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.
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Updated
Jun 22, 2020 - Python
Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC
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Updated
Jul 23, 2019 - Jupyter Notebook
Proto-RL: Reinforcement Learning with Prototypical Representations
python
control
reinforcement-learning
deep-learning
pixel
pytorch
gym
rl
representation-learning
unsupervised-learning
proto
sac
mujoco
dm-control
soft-actor-critic
drq
proto-rl
unsupervised-rl
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May 3, 2021 - Python
JAX implementations of core Deep RL algorithms
reinforcement-learning
deep-learning
deep-reinforcement-learning
flax
deepmind
sac
actor-critic
maximum-a-posteriori-estimation
mujoco
jax
td3
soft-actor-critic
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Updated
Feb 10, 2021 - Python
Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.
machine-learning
library
reinforcement-learning
algorithms
deep-reinforcement-learning
multi-agent
dqn
policy-gradient
reinforcement-learning-algorithms
ddpg
sac
curiosity
actor-critic
intrinsic-motivation
ppo
a2c
multi-agent-reinforcement-learning
continuous-action-space
soft-actor-critic
intrinsic-curiosity-module
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Oct 25, 2020 - Jupyter Notebook
JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"
machine-learning
reinforcement-learning
deep-learning
automatic-differentiation
deep-reinforcement-learning
dqn
gym
flax
haiku
sac
model-based-rl
jax
model-based-reinforcement-learning
soft-actor-critic
dm-haiku
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Updated
Jun 14, 2021 - Jupyter Notebook
PyRL - Reinforcement Learning Framework in Pytorch (Policy Gradient, DQN, DDPG, TD3, PPO, SAC, etc.)
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Updated
Mar 25, 2021 - Python
Auto-tune the Entropy Temperature of Soft Actor-Critic via Metagradient - 7th ICML AutoML workshop 2020
deep-reinforcement-learning
pytorch
hyperparameter-optimization
sac
automl
mujoco
meta-learning
soft-actor-critic
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Updated
Jul 22, 2021 - Python
A Pytorch Implementation of Multi Agent Soft Actor Critic
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Jan 29, 2019 - Jupyter Notebook
This Repository contains a series of google colab notebooks which I created to help people dive into deep reinforcement learning.This notebooks contain both theory and implementation of different algorithms.
deep-reinforcement-learning
rainbow
doom
dqn
sarsa
a3c
ddqn
ddpg-algorithm
ppo
a2c
prioritized-experience-replay
cartpole-v0
noisy-networks
soft-actor-critic
half-cheetah
kungfumaster-v0
ant-v2
reinforce-algorithm
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Apr 24, 2021 - Jupyter Notebook
Modified versions of the Soft Actor-Critic algorithm for Atari games from https://github.com/ac-93/soft-actor-critic.
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May 18, 2020 - Python
PyTorch implementations of Reinforcement Learning algorithms in less than 200 lines
machine-learning
reinforcement-learning
deep-reinforcement-learning
dqn
policy-gradient
reinforcement-learning-algorithms
ppo
soft-actor-critic
pytorch-implementations
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Updated
Apr 3, 2020 - Python
Pytorch implementation of Randomized Ensembled Double Q-learning (REDQ)
reinforcement-learning
deep-reinforcement-learning
q-learning
ensemble-learning
soft-actor-critic
double-q-learning
redq
randomized-ensemble
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Updated
Mar 12, 2021 - Jupyter Notebook
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I can't get it running anymore when i add --restore and a path to a checkpoint. It holds that tune-metadata cant be found, but it searches in the folder with the current timestamp...