imitation
DI-engine
| imitation | DI-engine | |
|---|---|---|
| 1 | 3 | |
| 1,151 | 2,603 | |
| 3.0% | 7.5% | |
| 7.5 | 8.7 | |
| 2 months ago | 8 days ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
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imitation
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?
neat - [ICCV'21] NEAT: Neural Attention Fields for End-to-End Autonomous Driving
stable-baselines - A fork of OpenAI Baselines, implementations of reinforcement learning algorithms
IRL - Algorithms for Inverse Reinforcement Learning
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).
babyai - BabyAI platform. A testbed for training agents to understand and execute language commands.
tianshou - An elegant PyTorch deep reinforcement learning library.
f-IRL - Inverse Reinforcement Learning via State Marginal Matching, CoRL 2020
seed_rl - SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's architecture.
DI-drive - Decision Intelligence Platform for Autonomous Driving simulation.
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).