tesslerc/ML-Papers-TLDR

Stars
24
Rank 981,200 (Top 20 %)
Language
Created over 7 years ago
Updated about 6 years ago

tesslerc/ML-Papers-TLDR

tesslerc

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

A summary of interesting Machine Learning (mostly Deep Learning) papers that I encounter.

ActionRobustRL

Code accompanying the paper "Action Robust Reinforcement Learning and Applications in Continuous Control" https://arxiv.org/abs/1901.09184

Jupyter Notebook

TD3-JAX

A JAX Implementation of the Twin Delayed DDPG Algorithm

Jupyter Notebook

H-DRLN

Hierarchical Deep RL Network

GAC

Code accompanying NeurIPS 2019 paper: "Distributional Policy Optimization - An Alternative Approach for Continuous Control"

Sparse-IL

Code accompanying the paper: Action Assembly: Sparse Imitation Learning for Text Based Games with Combinatorial Action Spaces

Jupyter Notebook

impala-laser-pytorch

An extension of the Impala TorchBeast framework from Facebook.

ConservativePolicyGradient

Paper accompanying the IJCAI 2020 submission - Stabilizing Deep Reinforcement Learning with Conservative Updates

malmo_rl

pytorch-advantage-weighted-regression

A PyTorch Implementation of AWR (github.com/xbpeng/awr)

ensemble-bootstrapped-q-learning

Code accompanying the ICML paper "Ensemble Boostrapped Q Learning"

academic-kickstart

tesslerc.github.io