manantomar/Multi-step-Greedy-Reinforcement-Learning-Algorithms manantomar/Multi-step-Greedy-Reinforcement-Learning-Algorithms

  • Stars
    star
    4
  • Rank 3,304,323 (Top 66 %)
  • Language
    Python
  • License
    MIT License
  • Created almost 4 years ago
  • Updated almost 4 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
manantomar/Multi-step-Greedy-Reinforcement-Learning-Algorithms
github

manantomar

Reviews

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

Repository Details

Multi-step Greedy Reinforcement Learning Algorithms

More Repositories

1

Mirror-Descent-Policy-Optimization

Mirror Descent Policy Optimization
Python
36
star
2

DSR

Deep Successor Representation
Python
17
star
3

MPC

Contains simple MPC implementation with neural network learned dynamics.
Python
14
star
4

video-occupancy-models

Python
8
star
5

Reinforcement-Learning

Contains implementations of various deep RL algorithms and papers including action conditional video prediction | Python | Tensorflow | Open AI gym
Python
7
star
6

Monocular_SLAM

Implementation of monocular SLAM using Bundle Adjustment and Key Frame Techniques
C++
3
star
7

agent-centric-representations

Code for "Principled Offline RL in the Presence of Rich Exogenous Information" and "Ignorance is Bliss: Robust Control via Information Gating".
Python
3
star
8

test

C++
1
star