fixed latest pip version

README.md

@@ -1,8 +1,7 @@
 # Gradient Boosting Reinforcement Learning (GBRL)
 GBRL is a Python-based Gradient Boosting Trees (GBT) library, similar to popular packages such as [XGBoost](https://xgboost.readthedocs.io/en/stable/), [CatBoost](https://catboost.ai/), but specifically designed and optimized for reinforcement learning (RL). GBRL is implemented in C++/CUDA aimed to seamlessly integrate within popular RL libraries. 
 
-<!-- [![Build Status](https://img.shields.io/github/workflow/status/Nvlabs/gbrl/CI)](https://github.com/NVlabs/gbrl/actions) -->
-[![License](https://img.shields.io/badge/license-NVIDIA-green.svg)](https://nvlabs.github.io/gbrl/license.htm)
+[![License](https://img.shields.io/badge/license-NVIDIA-green.svg)](https://github.com/NVlabs/gbrl/blob/master/LICENSE)
 [![PyPI version](https://badge.fury.io/py/gbrl.svg)](https://badge.fury.io/py/gbrl)
 <!-- [![Python Coverage](https://codecov.io/gh/Nvlabs/gbrl/branch/master/graph/badge.svg?flag=python)](https://codecov.io/gh/Nvlabs/gbrl)
 [![C++ Coverage](https://codecov.io/gh/Nvlabs/gbrl/branch/master/graph/badge.svg?flag=cpp)](https://codecov.io/gh/Nvlabs/gbrl) -->

gbrl/__init__.py

@@ -6,7 +6,7 @@
 # https://nvlabs.github.io/gbrl/license.html 
 #
 ##############################################################################
-__version__ = "1.0.5"
+__version__ = "1.0.6"
 
 from .ac_gbrl import (ActorCritic, GaussianActor, ContinuousCritic,
                    DiscreteCritic, ParametricActor)

gbrl/src/cpp/config.h

@@ -11,6 +11,6 @@
 
 #define MAJOR_VERSION 1
 #define MINOR_VERSION 0
-#define PATCH_VERSION 5
+#define PATCH_VERSION 6
 
 #endif // VERSION_CONFIG_H

pyproject.toml

@@ -10,7 +10,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "gbrl"
-version = "1.0.5"
+version = "1.0.6"
 description = "Gradient Boosted Trees for RL"
 readme = { file = "README.md", content-type = "text/markdown" }
 authors = [
@@ -45,7 +45,7 @@ requires-python = ">=3.9"
 
 [tool.poetry]
 name = "gbrl"
-version = "1.0.5"
+version = "1.0.6"
 description = "Gradient Boosted Trees for RL"
 authors = ["Benjamin Fuhrer <[email protected]>", "Chen Tessler <[email protected]>", "Gal Dalal <[email protected]>"]
 readme = "README.md"

setup.py

@@ -96,7 +96,7 @@ def move_built_library(self, build_temp):
 
 setup(
     name="gbrl",
-    version = "1.0.5",
+    version = "1.0.6",
     description = "Gradient Boosted Trees for RL",
     author="Benjamin Fuhrer, Chen Tessler, Gal Dalal",
     author_email="[email protected], [email protected]. [email protected]",