autonomous-learning-library
pytorch-a2c-ppo-acktr-gail
autonomous-learning-library | pytorch-a2c-ppo-acktr-gail | |
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2 | 3 | |
639 | 3,423 | |
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7.6 | 0.0 | |
2 months ago | almost 2 years ago | |
Python | Python | |
MIT License | MIT License |
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autonomous-learning-library
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What's the best "Non-Black Box" framework for SOTA algorithms?
I find Autonomous Learning Library well-designed and clean, despite its modularity to some degree.
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Where do people get their algorithm implementations from?
I very strongly recommend the autonomous learning library: https://github.com/cpnota/autonomous-learning-library
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).
What are some alternatives?
PPO-PyTorch - Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch
Super-mario-bros-PPO-pytorch - Proximal Policy Optimization (PPO) algorithm for Super Mario Bros
deep_rl_zoo - A collection of Deep Reinforcement Learning algorithms implemented with PyTorch to solve Atari games and classic control tasks like CartPole, LunarLander, and MountainCar.
soft-actor-critic - Implementation of the Soft Actor Critic algorithm using Pytorch.
learning-to-drive-in-5-minutes - Implementation of reinforcement learning approach to make a car learn to drive smoothly in minutes
dm_control - Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
Tetris-deep-Q-learning-pytorch - Deep Q-learning for playing tetris game
tensorforce - Tensorforce: a TensorFlow library for applied reinforcement learning
Meta-SAC - Auto-tune the Entropy Temperature of Soft Actor-Critic via Metagradient - 7th ICML AutoML workshop 2020
TensorFlow2.0-for-Deep-Reinforcement-Learning - TensorFlow 2.0 for Deep Reinforcement Learning. :octopus:
Fleet-AI - Using Reinforcement Learning to play Battleship
PCGrad - Code for "Gradient Surgery for Multi-Task Learning"