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jangirrishabh

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Commits on Oct 25, 2021

• installation instructions

  jangirrishabh

  committed
  a5f76ab

• add math

  jangirrishabh

  committed
  73ab5c3

• temp

  jangirrishabh

  committed
  fa92f3e

• update website

  jangirrishabh

  committed
  c01ca72

Commits on Jun 6, 2018

• Update README.md

  jangirrishabh

  authored
  2eff036

Commits on Jun 4, 2018

• Update README.md

  jangirrishabh

  authored
  d37827e

Commits on Jan 31, 2018

• Update README.md

  jangirrishabh

  authored
  1d9e45e

Commits on Aug 1, 2016

• Update README.md

  jangirrishabh

  authored
  8c30111

Commits on Jul 28, 2016

• blog ready

  jangirrishabh

  committed
  0051b7e

• Merge branch 'master' of https://github.com/jangirrishabh/toyCarIRL

  Show description for e6c95ff
  jangirrishabh

  committed
  e6c95ff

• improvements for blog post

  jangirrishabh

  committed
  2979462

Commits on Jul 5, 2016

• Update

  jangirrishabh

  authored
  9b7dab7

• Update

  jangirrishabh

  authored
  fb2f36a

• Create Readme

  jangirrishabh

  authored
  200d790

• merging into master

  jangirrishabh

  committed
  01d6537

• All results lts collected, a fully functional IRL algorithm for toy car problem, 8 features, 3 behaviors

  jangirrishabh

  committed
  9b60483

• yellow evaluated policies added

  jangirrishabh

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  aab23d3

• add manual policy evaluation script, and modify learning according to it

  jangirrishabh

  committed
  174f0be

Commits on Jul 4, 2016

• results added (good brown results), others deleted

  jangirrishabh

  committed
  9404360

• termination condition changed, hopefully the correct implementation, previous were vague, termination condition was wrong, epsilon decreased, algorithm is converging now

  jangirrishabh

  committed
  6c3fe68

Commits on Jul 3, 2016

• minor improvements over last commit

  jangirrishabh

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  b1c8ff6

• updated readme

  jangirrishabh

  committed
  e83205f

• Initial commit

  jangirrishabh

  committed
  03dfa9f

• with obstacles,obstacles changed, update only upon finding a closer point

  jangirrishabh

  committed
  9fbdefe

Commits on Jun 29, 2016

• reduce actions to 3, without obstacles working, 8 features

  jangirrishabh

  committed
  8eb5f4d

• setup for 8 features, without obstacles, woking after 75000 frames, but there are 8 action outputs

  jangirrishabh

  committed
  a0bd595

Commits on Jun 28, 2016

• set up for 8 features, with obstacles, not working, state space = 8

  jangirrishabh

  committed
  f90b690

Commits on Jun 27, 2016

• test commit

  jangirrishabh

  committed
  f2b9e12

• First commit, round obstacles, unable to dishtinguish b/w color, unscaled fetures

  jangirrishabh

  committed
  1be2de4