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acer_tf

Implementation for ACER in tensorflow and sonnet by deepmind

active-learning-bayesian-convolutional-neural-networks

Active Learning on Image Data using Bayesian ConvNets

active_imitation_learning_rl

Imitation Learning in Deep RL

ai-deadlines

:alarm_clock: AI conference deadline countdowns

autograd

Efficiently computes derivatives of numpy code.

awesome-rnn

Recurrent Neural Network - A curated list of resources dedicated to RNN

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

bayesian-exploration-deep-rl

Bayesian Uncertainty Exploration in Deep Reinforcement Learning

bayesianhypernet

bayesopt

BayesOpt: A toolbox for bayesian optimization, experimental design and stochastic bandits.

betago

BetaGo: AlphaGo for the masses, live on github.

bopah

The official implementation of "Batch Reinforcement Learning with Hyperparameter Gradients", ICML 2020

caltech-surf

Real-time mapping and autonomous navigation

cambridge-beamer

University of Cambridge house style for LaTeX Beamer

commai-env

A platform for developing AI systems as described in A Roadmap towards Machine Intelligence - http://arxiv.org/abs/1511.08130

credit_assignment_rl

Credit Assignment in Reinforcement Learning

cs231n-practice

[CS231n: http://cs231n.github.io/] Programming Assignment - My Implemenatation

dcgan_code

Deep Convolutional Generative Adversarial Networks

deep-bayesian-active-learning

Code for Deep Bayesian Active Learning (ICML 2017)

deep-reinforcement-learning-algorithms-with-pytorch

PyTorch implementations of deep reinforcement learning algorithms and environments

deep-reinforcement-learning-papers

A list of recent papers regarding deep reinforcement learning

deepgp_approxep

Code accompanying the paper: Deep Gaussian processes for regression using approximate Expectation Propagation

deeprl

Combining deep learning and reinforcement learning.

deeprl-1

Modularized Implementation of Deep RL Algorithms in PyTorch

deeprl-agents

A set of implementations of Deep Reinforcement Learning Agents using Tensorflow.

dqn-expl-keras-rl

Exploration-Exploitation in Deep Q Networks

dqn-tensorflow

Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning

dqn_experiments

Analysing Linear and Non Linear Function Approximators

dropout-uncertainty-exploration-dqn

Exploration Exploitation in DQNs using Dropout as Bayesian Approximation

drug_discovery