younggyoseo/rnn-auxiliary-loss younggyoseo/rnn-auxiliary-loss

  • Stars
    star
    13
  • Rank 1,512,713 (Top 30 %)
  • Language
    Python
  • Created over 6 years ago
  • Updated over 6 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
younggyoseo/rnn-auxiliary-loss
github

younggyoseo

Reviews

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

Repository Details

Learning Longer-term Dependencies in RNNs with Auxiliary Losses - Implementation in PyTorch.

More Repositories

1

Ape-X

PyTorch Implementation of Distributed Prioritized Experience Replay(Ape-X)
Python
149
star
2

vae-cf-pytorch

Variational Autoencoders for Collaborative Filtering - Implementation in PyTorch
Python
130
star
3

MWM

Masked World Models for Visual Control
Python
113
star
4

apv

Python
69
star
5

RE3

RE3: State Entropy Maximization with Random Encoders for Efficient Exploration
Jupyter Notebook
65
star
6

CaDM

CaDM: Context-aware Dynamics Model for Generalization in Model-based Reinforcement Learning
Python
63
star
7

MV-MWM

Python
51
star
8

pytorch-nfsp

Implementation of Deep Reinforcement Learning from Self-Play in Imperfect-Information Games (Heinrich and Silver, 2016)
Python
43
star
9

trajectory_mcl

Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning (NeurIPS 2020)
Python
39
star
10

CQN

Coarse-to-fine Q-Network
Python
23
star
11

lasertag-v0

Implementation of Deepmind's LaserTag-v0 game in A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning(2017)
Python
18
star
12

pytorch-acer

PyTorch implementation of Sample Efficient Actor-Critic with Experience Replay(ACER)
Python
16
star
13

TF_DeepNLP

TensorFlow Models for NLP
Python
1
star
14

knk-c-programming

My Solutions to exercises and programming projects to K.N.King's C programming.
C
1
star