Reinforcement-Learning VS DeepRL-TensorFlow2

Compare Reinforcement-Learning vs DeepRL-TensorFlow2 and see what are their differences.

Reinforcement-Learning

Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning (by andri27-ts)
reinforcement-learning Machine Learning Artificial intelligence deep-reinforcement-learning Deep Learning policy-gradients evolution-strategies A2c deepmind Dqn qlearning Ppo
Source Code
andri27-ts.github.io
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DeepRL-TensorFlow2

🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2 (by marload)
Tensorflow Machine Learning reinforcement-learning A2c a3c reinforce Dqn trpo Ppo sac Ddpg Deep Learning deep-reinforcement-learning Tensorflow2 dueling-dqn double-dqn rainbow-dqn
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Reinforcement-Learning DeepRL-TensorFlow2
1 2
4,091 573
- -
0.0 0.0
almost 4 years ago almost 2 years ago
Jupyter Notebook Python
MIT License Apache License 2.0
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Reinforcement-Learning

Posts with mentions or reviews of Reinforcement-Learning. We have used some of these posts to build our list of alternatives and similar projects.

DeepRL-TensorFlow2

Posts with mentions or reviews of DeepRL-TensorFlow2. We have used some of these posts to build our list of alternatives and similar projects.
  • PPO implementation in TensorFlow2
    1 project | /r/reinforcementlearning | 12 Sep 2021
    I've been searching for a clean, good, and understandable implementation of PPO for continuous action space with TF2 witch is understandable enough for me to apply my modifications, but the closest thing that I have found is this code which seems to not work properly even on a simple gym cartpole env (discussed issues in git-hub repo suggest the same problem) so I have some doubts :). I was wondering whether you could recommend an implementation that you trust and suggest :)
  • Question about using tf.stop_gradient in separate Actor-Critic networks for A2C implementation for TF2
    1 project | /r/reinforcementlearning | 24 Mar 2021
    I have been looking at this implementation of A2C. Here the author of the code uses stop_gradient only on the critic network at L90 bur not in the actor network L61 for the continuous case. However , it is used both in actor and critic networks for the discrete case. Can someone explain me why?

What are some alternatives?

When comparing Reinforcement-Learning and DeepRL-TensorFlow2 you can also consider the following projects:

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).

soft-actor-critic - Re-implementation of Soft-Actor-Critic (SAC) in TensorFlow 2.0

FinRL-Library - Deep Reinforcement Learning Framework to Automate Trading in Quantitative Finance. NeurIPS 2020 & ICAIF 2021. 🔥 [Moved to: https://github.com/AI4Finance-Foundation/FinRL]

TensorFlow2.0-for-Deep-Reinforcement-Learning - TensorFlow 2.0 for Deep Reinforcement Learning. :octopus:

Stock-Prediction-Models - Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

tensorforce - Tensorforce: a TensorFlow library for applied reinforcement learning

snakeAI - testing MLP, DQN, PPO, SAC, policy-gradient by snake

ydata-synthetic - Synthetic data generators for tabular and time-series data

TradingGym - Trading Gym is an open source project for the development of reinforcement learning algorithms in the context of trading.

minimalRL - Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)

TextWorld - ​TextWorld is a sandbox learning environment for the training and evaluation of reinforcement learning (RL) agents on text-based games.

machin - Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...

Reinforcement-Learning vs pytorch-a2c-ppo-acktr-gail DeepRL-TensorFlow2 vs soft-actor-critic Reinforcement-Learning vs FinRL-Library DeepRL-TensorFlow2 vs TensorFlow2.0-for-Deep-Reinforcement-Learning Reinforcement-Learning vs Stock-Prediction-Models DeepRL-TensorFlow2 vs tensorforce Reinforcement-Learning vs snakeAI DeepRL-TensorFlow2 vs ydata-synthetic Reinforcement-Learning vs TradingGym DeepRL-TensorFlow2 vs minimalRL Reinforcement-Learning vs TextWorld DeepRL-TensorFlow2 vs machin