holodeck
stable-baselines3-contrib
| holodeck | stable-baselines3-contrib | |
|---|---|---|
| 1 | 6 | |
| 564 | 427 | |
| 0.0% | 4.0% | |
| 0.0 | 6.7 | |
| about 2 years ago | about 1 month ago | |
| Python | Python | |
| MIT License | MIT License |
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holodeck
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[P] Doing a clone of Rocket League for AI experiments. Trained an agent to air dribble the ball.
Tangentially related, but people interested in game engines for RL should check out Holodeck built on Unreal https://github.com/byu-pccl/holodeck
stable-baselines3-contrib
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Problem with Truncated Quantile Critics (TQC) and n-step learning algorithm.
# https://github.com/Stable-Baselines-Team/stable-baselines3-contrib/blob/master/sb3_contrib/tqc/tqc.py :
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Understanding Action Masking in RLlib
Here's a theoretical overview and an implementation of action masking for PPO.
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PPO rollout buffer for turn-based two-player game with varying turn lengths
Simplified version of rollout collection (adapted from ppo_mask.py line 282):
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GitHub Copilot: your AI pair programmer
Transformers (GPT-3) aren't quite _supervised_, but it does require valid samples.
Agree 100% with RL being the path forward. You probably have already seen ( https://venturebeat.com/2021/06/09/deepmind-says-reinforceme... ). Personally I'm really stoked for this https://github.com/Stable-Baselines-Team/stable-baselines3-c... , which will make it a lot easier for rubes like me to use RL.
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[P] Stable-Baselines3 v1.0 - Reliable implementations of RL algorithms
But as we already have vanilla DQN and QR-DQN (in our contrib repo: https://github.com/Stable-Baselines-Team/stable-baselines3-contrib ) I think it is already a good start for off-policy discrete action algorithms. (QR-DQN is usually competitive vs DQN+extensions)
What are some alternatives?
MATLAB-Simulink-Challenge-Project-Hub - This MATLAB and Simulink Challenge Project Hub contains a list of research and design project ideas. These projects will help you gain practical experience and insight into technology trends and industry directions.
muzero-general - MuZero
habitat-api - A modular high-level library to train embodied AI agents across a variety of tasks, environments, and simulators. [Moved to: https://github.com/facebookresearch/habitat-lab]
TabNine - AI Code Completions
habitat-lab - A modular high-level library to train embodied AI agents across a variety of tasks and environments.
stable-baselines3-c
ue4-docker - Windows and Linux containers for Unreal Engine 4
copilot-cli - The AWS Copilot CLI is a tool for developers to build, release and operate production ready containerized applications on AWS App Runner or Amazon ECS on AWS Fargate.
ml-agents - The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.
rl-baselines3-zoo - A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
ai2thor-rearrangement - 🔀 Visual Room Rearrangement
dreamerv2 - Mastering Atari with Discrete World Models