Beast code in Giters

havenoname's repositories

APEX

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

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awesome-knowledge-distillation

Awesome Knowledge Distillation

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BaRC

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

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baselines-rudder

RUDDER for ATARI games with delayed rewards in OpenAI Baselines package

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cvpr15deepcompare

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

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DropoutUncertaintyExps

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

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DSR

Deep Successor Representation

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emdqn

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

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ERL

Exploration based Reinforcement Learning. (Montezuma Revenge)

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ex2

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

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exemplar_models

Exemplar models for approximate density estimation

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FeatureControlHRL

Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning

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Free_Energy_experiments

An exploration of the free energy principle using deep reinforcement learning

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Hierarchical-Deep-Reinforcement-Learning

paper <<Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation>> python implementation

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hierarchical-deep-RL

Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstractions and Intrinsic Motivation

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Hierarchical-DQN

Simple implementation of the model presented in Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation

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large-scale-curiosity

Code for the paper "Large-Scale Study of Curiosity-Driven Learning"

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MARL-Papers

Paper list of multi-agent reinforcement learning (MARL)

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mlsh

Code for the paper "Meta-Learning Shared Hierarchies"

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Neural-Episodic-Control

Implementation of Deepmind's Neural Episodic Control

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noreward-rl

[ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning

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ParamNoise

A comparison of parameter space noise methods for exploration in deep reinforcement learning

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pixel_exploration

PyTorch implementation of Count-Based Exploration with Neural Density Models

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pytorch-rl

Deep Reinforcement Learning with pytorch & visdom

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Rainbow

Rainbow: Combining Improvements in Deep Reinforcement Learning

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random-network-distillation

Code for the paper "Exploration by Random Network Distillation"

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rnd

Exploration by Random Network Distillation

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temporal_abstraction

Option Critic with subgoal discovery by spectral decomposition of the Successor Features Matrix or clustering in Successor features space.

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TSCL

Teacher-Student Curriculum Learning code

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UncertaintyNN

Implementation and evaluation of different approaches to get uncertainty in neural networks

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