Merge branch 'master' into perf_eval

alex-petrenko · Dec 27, 2023 · 277aa68 · 277aa68
2 parents 07b5a33 + de799b5
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diff --git a/LICENSE b/LICENSE
@@ -1,6 +1,6 @@
 MIT License
 
-Copyright (c) 2019 Aleksei Petrenko
+Copyright (c) 2019-2024 Aleksei Petrenko
 
 Permission is hereby granted, free of charge, to any person obtaining a copy
 of this software and associated documentation files (the "Software"), to deal

diff --git a/README.md b/README.md
@@ -13,7 +13,7 @@
 
 # Sample Factory
 
-High-throughput reinforcement learning codebase. Version 2.0.0 is out! 🤗
+High-throughput reinforcement learning codebase. Version **2** is out! 🤗
 
 **Resources:**
 
@@ -31,11 +31,10 @@ High-throughput reinforcement learning codebase. Version 2.0.0 is out! 🤗
 
 ### What is Sample Factory?
 
-Sample Factory is one of the fastest RL libraries.
-We focused on very efficient synchronous and asynchronous implementations of policy gradients (PPO). 
+Sample Factory is one of the fastest RL libraries focused on very efficient synchronous and asynchronous implementations of policy gradients (PPO). 
 
-Sample Factory is thoroughly tested, used by many researchers and practitioners, and is actively maintained.
-Our implementation is known to reach SOTA performance in a variety of domains in a short amount of time.
+Sample Factory is thoroughly tested and used by many researchers and practitioners.
+Our implementation is known to reach state-of-the-art (SOTA) performance across a wide range of domains, while minimizing the required training time and hardware requirements.
 Clips below demonstrate ViZDoom, IsaacGym, DMLab-30, Megaverse, Mujoco, and Atari agents trained with Sample Factory:
 
 <p align="middle">

diff --git a/docs/index.md b/docs/index.md
@@ -25,11 +25,10 @@ High-throughput reinforcement learning codebase. Resources:
 
 ## What is Sample Factory?
 
-Sample Factory is one of the fastest RL libraries 
-focused on very efficient synchronous and asynchronous implementations of policy gradients (PPO). 
+Sample Factory is one of the fastest RL libraries focused on very efficient synchronous and asynchronous implementations of policy gradients (PPO). 
 
-Sample Factory is thoroughly tested, used by many researchers and practitioners, and is actively maintained.
-Our implementation is known to reach SOTA performance in a variety of domains while minimizing RL experiment training time and hardware requirements.
+Sample Factory is thoroughly tested and used by many researchers and practitioners.
+Our implementation is known to reach state-of-the-art (SOTA) performance across a wide range of domains, while minimizing the required training time and hardware requirements.
 Clips below demonstrate ViZDoom, IsaacGym, DMLab-30, Megaverse, Mujoco, and Atari agents trained with Sample Factory:
 
 <p align="middle">

diff --git a/setup.py b/setup.py
@@ -31,7 +31,7 @@
     description="High throughput asynchronous reinforcement learning framework",
     long_description=long_description,
     long_description_content_type="text/markdown",
-    version="2.1.1",
+    version="2.1.2",
     url="https://github.com/alex-petrenko/sample-factory",
     author="Aleksei Petrenko",
     license="MIT",