koulanurag/pfa koulanurag/pfa

  • Stars
    star
    1
  • Language
    Python
  • Created over 6 years ago
  • Updated over 6 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
koulanurag/pfa
github

koulanurag

Reviews

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

Repository Details

Policy Fusion Architecture (PFA): We investigate policy gradient approaches for reward decomposition in reinforcement Learning

More Repositories

1

ma-gym

A collection of multi agent environments based on OpenAI gym.
Python
477
star
2

muzero-pytorch

Pytorch Implementation of MuZero
Python
311
star
3

mmn

Moore Machine Networks (MMN): Learning Finite-State Representations of Recurrent Policy Networks
Python
47
star
4

minimal-marl

Minimal implementation of multi-agent reinforcement learning algorithms
Python
43
star
5

visTorch

Interacting with Latent Space of AutoEncoder
Python
21
star
6

dream-and-search

Code for "Dream and Search to Control: Latent Space Planning for Continuous Control"
Python
10
star
7

conformal

Conformal prediction is a framework for providing accuracy guarantees on the predictions of a base predictor
Python
9
star
8

gym-cartpole-continuous

CartPole env. with continuous action space
Python
7
star
9

marl-pytorch

Pytorch Implementations of Multi Agent Reinforcement Learning(marl) algorithms
Python
5
star
10

gym_x

Gym environments for capture properties of hidden states(hx) of recurrent networks.
Python
5
star
11

policybazaar

A collection of multi-quality policies for continuous control tasks.
Python
3
star
12

opcc

Benchmark for "Offline Policy Comparison with Confidence"
Python
3
star
13

deep-conformal

Applying Conformal Prediction over Deep Neural Nets
Python
3
star
14

variable-td3

Learning n-step actions for control tasks
Python
2
star
15

opcc-baselines

Baselines for "Offline Policy Comparison with Confidence"
Python
1
star
16

vpn

PyTorch implementation of Value Prediction Network (VPN) 🚧 👷
Python
1
star