pytorch-a2c-ppo-acktr-gail
TensorFlow2.0-for-Deep-Reinforcement-Learning
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| pytorch-a2c-ppo-acktr-gail | TensorFlow2.0-for-Deep-Reinforcement-Learning | |
|---|---|---|
| 3 | 1 | |
| 3,423 | 81 | |
| - | - | |
| 0.0 | 0.0 | |
| almost 2 years ago | 8 months ago | |
| Python | Python | |
| 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).
TensorFlow2.0-for-Deep-Reinforcement-Learning
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Beginner attempting to implement Noisy DQN
I forgot to say that I'm using tensorflow, nevertheless I managed to find a git implementation for tensorflow 2 of the noisy dense layer (https://github.com/Huixxi/TensorFlow2.0-for-Deep-Reinforcement-Learning/blob/master/07_noisynet.py) and tried to adapt it to my needs.
What are some alternatives?
soft-actor-critic - Implementation of the Soft Actor Critic algorithm using Pytorch.
tensorforce - Tensorforce: a TensorFlow library for applied reinforcement learning
Super-mario-bros-PPO-pytorch - Proximal Policy Optimization (PPO) algorithm for Super Mario Bros
DeepRL-TensorFlow2 - 🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2
dm_control - Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
trax - Trax — Deep Learning with Clear Code and Speed
chainerrl - ChainerRL is a deep reinforcement learning library built on top of Chainer.
PCGrad - Code for "Gradient Surgery for Multi-Task Learning"
Deep-Reinforcement-Learning-Hands-On - Hands-on Deep Reinforcement Learning, published by Packt
DI-engine - OpenDILab Decision AI Engine
deepdrive - Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving