pytorch-a2c-ppo-acktr-gail
PCGrad
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| pytorch-a2c-ppo-acktr-gail | PCGrad | |
|---|---|---|
| 3 | 1 | |
| 3,423 | 286 | |
| - | - | |
| 0.0 | 0.0 | |
| almost 2 years ago | almost 4 years ago | |
| Python | Python | |
| MIT License | MIT License |
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pytorch-a2c-ppo-acktr-gail
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How does advantage estimation is done when episodes are of variable length in PPO?
As an example look at "compute_returns" function here (and pay attention to how self.masks is used): https://github.com/ikostrikov/pytorch-a2c-ppo-acktr-gail/blob/master/a2c_ppo_acktr/storage.py
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How to pretrain a model on expert data?
Try using an imitation learning algorithm. Two popular options are MaxEnt IRL and GAIL. This repository has GAIL implementation and this repository has MaxEnt IRL and GAIL implementation. There are other implementations too that you can check out.
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Trying to Train PPO Agent for Pendulum-v0 from Pixel Inputs
For the PPO, I used this repo, which includes most tricks including GAE, normalized rewards, etc. I have verified this repo works for the traditional Pendulum-v0 task and Atari games (Pong and Breakout).
PCGrad
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Help with studying AI in go
Let me see if I find a public example: the other day I was trying some experiments with PCGrad, so I looked at the code and bumped into this line:
What are some alternatives?
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trax - Trax — Deep Learning with Clear Code and Speed
tensorforce - Tensorforce: a TensorFlow library for applied reinforcement learning
Gorgonia - Gorgonia is a library that helps facilitate machine learning in Go.
TensorFlow2.0-for-Deep-Reinforcement-Learning - TensorFlow 2.0 for Deep Reinforcement Learning. :octopus:
DI-engine - OpenDILab Decision AI Engine
Reinforcement-Learning - Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
pomdp-baselines - Simple (but often Strong) Baselines for POMDPs in PyTorch, ICML 2022