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rlcode / reinforcement-learning

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

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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.

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qfettes / DeepRL-Tutorials

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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

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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

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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 Apr 15, 2020
  • Python

chimera0 / accel-brain-code

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The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) that I have written in my website. Especially, Natural Language Processing, Statistical Machine Learning, and Deep Reinforcement Learning are main topics.

reinforcement-learning deep-learning deep-reinforcement-learning q-learning lstm restricted-boltzmann-machine convolutional-autoencoder transfer-learning simulated-annealing deep-q-network automatic-summarization deconvolution combinatorial-optimization quantum-monte-carlo encoder-decoder auto-encoder quantum-annealing multi-agent-reinforcement-learning spatio-temporal-auto-encoder
  • Updated Apr 6, 2020
  • Python

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