Skip to content
#

deep-q-network

Star

Here are 238 public repositories matching this topic...

Language: All
Filter by language
All 238 Python 141 Jupyter Notebook 64 C++ 8 HTML 6 ASP 3 JavaScript 2 TeX 2 D 1 Julia 1 MATLAB 1
Sort: Best match
Sort options
Best match Most stars Fewest stars Most forks Fewest forks Recently updated Least recently updated

rlcode / reinforcement-learning

Star
Open

Add comment on the use of categorical cross entropy in REINFORCE and a2c

9
fredcallaway
fredcallaway commented Jun 29, 2017

I was surprised to see this loss function because it is generally used when the target is a distribution (i.e. sums to 1). This is not the case for the advantage estimate. However, I worked out the math and it does appear to be doing the right thing which is neat!

I think this trick should be mentioned in the code.

Read more

qfettes / DeepRL-Tutorials

Star

Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

reinforcement-learning gae deep-reinforcement-learning rainbow python3 pytorch deep-q-network actor-critic double-dqn quantile-regression dueling-dqn categorical-dqn ppo advantage-actor-critic a2c deep-recurrent-q-network prioritized-experience-replay multi-step-learning noisy-networks deeprl-tutorials
  • Updated Feb 21, 2020
  • Jupyter Notebook

sudharsan13296 / Hands-On-Reinforcement-Learning-With-Python

Star

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

reinforcement-learning monte-carlo deep-reinforcement-learning openai-gym q-learning deep-learning-algorithms policy-gradient sarsa deep-q-network markov-decision-processes asynchronous-advantage-actor-critic double-dqn trpo dueling-dqn deep-deterministic-policy-gradient ppo deep-recurrent-q-network drqn hindsight-experience-replay policy-gradients
  • Updated Apr 17, 2020
  • Jupyter Notebook

MishaLaskin / curl

Star

CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning

deep-neural-networks reinforcement-learning deep-learning curl gpu deep-reinforcement-learning deep-learning-algorithms reinforcement-learning-algorithms deeplearning deep-q-network sac deep-q-learning reinforcement-agents deep-rl deeplearning-ai contrastive-loss off-policy contrastive-predictive-coding model-free-rl contrastive-learning
  • Updated Jul 8, 2020
  • Python

accel-brain / accel-brain-code

Star

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

reinforcement-learning deep-learning deep-reinforcement-learning q-learning lstm generative-adversarial-network semi-supervised-learning restricted-boltzmann-machine convolutional-autoencoder transfer-learning simulated-annealing deep-q-network automatic-summarization deconvolution combinatorial-optimization quantum-monte-carlo auto-encoder quantum-annealing energy-based-model multi-agent-reinforcement-learning
  • Updated Jul 11, 2020
  • Python

Improve this page

Add a description, image, and links to the deep-q-network topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the deep-q-network topic, visit your repo's landing page and select "manage topics."

Learn more

You can’t perform that action at this time.