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a3c-pytorch

PyTorch implementation of Advantage async actor-critic Algorithms (A3C) in PyTorch

algorithmic-trading-tools

Algorithmic Trading Tools

apex

Autonomous exploration, active learning and human guidance with open-source Poppy humanoid robot platform and Explauto library

async_deep_reinforce

Asynchronous Methods for Deep Reinforcement Learning

atari-rl

Atari - Deep Reinforcement Learning algorithms in TensorFlow

awesome-knowledge-distillation

Awesome Knowledge Distillation

awesome-self-supervised-learning

A curated list of awesome Self-Supervised methods

barc

Contains the code for "BaRC: Backward Reachability Curriculum for Robotic Reinforcement Learning" by Boris Ivanovic, James Harrison, Apoorva Sharma, Mo Chen, Marco Pavone.

baselines-rudder

RUDDER for ATARI games with delayed rewards in OpenAI Baselines package

bayesian-neural-networks

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace and more

continuous-energy-minimization-for-multitarget-tracking

Continuous Energy Minimization for Multitarget Tracking

count_based_exploration_sr

cvpr15deepcompare

Code and models for "Learning to Compare Image Patches via Convolutional Neural Networks"

deep-reinforcement-learning-hands-on

Hands-on Deep Reinforcement Learning, published by Packt

deep_abstract_q_network

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，近30万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

deepmind-atari-deep-q-learner-2player

Multiagent Cooperation and Competition with Deep Reinforcement Learning

deepreinforcementlearningthatmatters

Accompanying code for "Deep Reinforcement Learning that Matters"

dehrl

Diversity−Driven Extensible Hierarchical Reinforcement Learning. AAAI 2019. Oral Presentation.

dhp

Predicting Head Movement in Panoramic Video: A Deep Reinforcement Learning Approach. TPAMI 2018.

diayn

dist-dqn

Multi-GPU reinforcement learning using Deep Q-Network in TensorFlow for OpenAI Gym

dropoutuncertaintyexps

Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"

dsr

Deep Successor Representation

dsr-1

emdqn

Code for paper "Episodic Memory Deep Q-Networks" (https://arxiv.org/abs/1805.07603), IJCAI 2018

episodic-curiosity

Tensorflow/Keras code and trained models for Episodic Curiosity Through Reachability

erl

Exploration based Reinforcement Learning. (Montezuma Revenge)

ex2

Code for running EX2: Exploration with Exemplar Models for Deep Reinforcement Learning

exemplar_models

Exemplar models for approximate density estimation