8000 Commits · ssilwal/mjrl · GitHub

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Commits

Commits on Jun 18, 2021

Added success percentage logging and a script for plotting logs
aravindr93
committed

Commits on Jun 16, 2021

Merge pull request #37 from aravindr93/giri_mjrl_core_mp_fix_v1
aravindr93
authored

Commits on May 29, 2021

Adding test code
Giri Anantharaman
committed
Changing maxtasksperchild to default during multiprocesing pool creation to avoid process terminate deadlocks
Giri Anantharaman
committed

Commits on Jan 12, 2021

Merge pull request #34 from aravindr93/v1
aravindr93
authored

Commits on Jan 10, 2021

kwargs passthrough for behavior cloning and dapg
aravindr93
committed

Commits on Dec 5, 2020

Merge pull request #33 from aravindr93/v1
aravindr93
authored

Commits on Sep 7, 2020

adding example to illustrate MBRL reward callback functionality
aravindr93
committed

Commits on Sep 6, 2020

New features and updates
aravindr93
committed

Commits on Sep 2, 2020

Commits on Sep 1, 2020

Adding number of CPUs for parallel sampling. Seepds up things for bigger models
vikashplus
committed

Commits on Aug 31, 2020

Commits on Aug 29, 2020

Output plots in samples
vikashplus
committed

Commits on Aug 21, 2020

bug fixes and support for dm-control
aravindr93
committed

Commits on Aug 6, 2020

improved numerical conditioning and fixed bugs
aravindr93
committed

Commits on Aug 4, 2020

updates to world model
aravindr93
committed

Commits on Aug 3, 2020

Commits on Jul 23, 2020

Merge pull request #28 from aravindr93/atomize_init
vikashplus
authored

Commits on Jul 14, 2020

Make training job resumable if pointed to the same training folder
vikashplus
committed

Commits on Apr 11, 2020

FEATURE: can pass full sim now
vikashplus
committed

Commits on Apr 8, 2020

Merge pull request #23 from aravindr93/dtype_warning_fix
vikashplus
authored

Commits on Jan 22, 2020

updates to model based algo
aravindr93
committed

Commits on Jan 16, 2020

Adding dtype to the boxes to avoid warning messages from gym
vikashplus
committed

Commits on Jan 15, 2020

variable length rollouts and wide start state distribution
aravindr93
committed

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