falken
DI-engine
falken | DI-engine | |
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2 | 3 | |
253 | 2,581 | |
0.0% | 5.7% | |
0.0 | 8.7 | |
about 1 month ago | 11 days ago | |
Python | Python | |
Apache License 2.0 | Apache License 2.0 |
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falken
- How long until AI can play a game like Red Dead Redemption 2?
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Google AI Introduces A Machine Learning Based System For Game Developers To Quickly And Efficiently Train Game-Testing Agents
Google AI recently announced a machine learning-based framework that game developers could use to train game-testing agents quickly and efficiently, freeing human testers to focus on more complicated problems. The resulting system requires no machine learning (ML) expertise, works with a wide range of popular game genres, and can train an ML policy, which generates game actions from the game state on a single game instance in less than an hour. Google AI has also provided an open-source library that shows how these techniques may be used in practice.
DI-engine
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Anyone have experience with DI-Engine?
I posted a while back asking people what frameworks they were using for RL research. Recently i stumbled upon DI-Engine which looks promising! Actively maintained, with a diverse set of algorithms already implemented.
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TransformerXL + PPO Baseline + MemoryGym
DI Engine
- Struggling with algorithm generality? Try DI engine; here is the solution
What are some alternatives?
f-IRL - Inverse Reinforcement Learning via State Marginal Matching, CoRL 2020
stable-baselines - A fork of OpenAI Baselines, implementations of reinforcement learning algorithms
yolov3 - YOLOv3 in PyTorch > ONNX > CoreML > TFLite
pytorch-a2c-ppo-acktr-gail - PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).
imitation - Clean PyTorch implementations of imitation and reward learning algorithms
tianshou - An elegant PyTorch deep reinforcement learning library.
seed_rl - SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's architecture.
stable-baselines3 - PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
on-policy - This is the official implementation of Multi-Agent PPO (MAPPO).
myosuite - MyoSuite is a collection of environments/tasks to be solved by musculoskeletal models simulated with the MuJoCo physics engine and wrapped in the OpenAI gym API.
godot_rl_agents - An Open Source package that allows video game creators, AI researchers and hobbyists the opportunity to learn complex behaviors for their Non Player Characters or agents
brain-agent - Brain Agent for Large-Scale and Multi-Task Agent Learning