pytorch-learn-reinforcement-learning VS tianshou

Compare pytorch-learn-reinforcement-learning vs tianshou and see what are their differences.

pytorch-learn-reinforcement-learning

A collection of various RL algorithms like policy gradients, DQN and PPO. The goal of this repo will be to make it a go-to resource for learning about RL. How to visualize, debug and solve RL problems. I've additionally included playground.py for learning more about OpenAI gym, etc. (by gordicaleksa)
Python Deep Learning Jupyter Pytorch rl reinforcement-learning reinforcement-learning-algorithms Ppo policy-gradient Dqn pytorch-implementation deep-q-network pytorch-dqn pytorch-policy-gradient pytorch-ppo
Source Code
youtube.com
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tianshou

An elegant PyTorch deep reinforcement learning library. (by thu-ml)
Pytorch policy-gradient Dqn double-dqn A2c Ddpg Ppo td3 sac imitation-learning mujoco atari bcq Library rl drl Benchmark trpo npg Cql
Source Code
tianshou.org
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pytorch-learn-reinforcement-learning tianshou
3 8
139 7,406
- 3.2%
0.0 9.5
almost 3 years ago 4 days ago
Python Python
MIT License MIT License
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pytorch-learn-reinforcement-learning

Posts with mentions or reviews of pytorch-learn-reinforcement-learning. We have used some of these posts to build our list of alternatives and similar projects.

tianshou

Posts with mentions or reviews of tianshou. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-02.

What are some alternatives?

When comparing pytorch-learn-reinforcement-learning and tianshou you can also consider the following projects:

Super-mario-bros-PPO-pytorch - Proximal Policy Optimization (PPO) algorithm for Super Mario Bros

stable-baselines3 - PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

Tetris-deep-Q-learning-pytorch - Deep Q-learning for playing tetris game

cleanrl - High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

6DRepNet - Official Pytorch implementation of 6DRepNet: 6D Rotation representation for unconstrained head pose estimation.

ElegantRL - Massively Parallel Deep Reinforcement Learning. 🔥

Amortized-SVGD-GAN - Learning to draw samples: with application to amortized maximum likelihood estimator for generative adversarial learning

seed_rl - SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's architecture.

nes-torch - Minimal PyTorch Library for Natural Evolution Strategies

pytorch-a3c - PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".

pytorch-GAT - My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!

Deep-Reinforcement-Learning-Algorithms-with-PyTorch - PyTorch implementations of deep reinforcement learning algorithms and environments

pytorch-learn-reinforcement-learning vs Super-mario-bros-PPO-pytorch tianshou vs stable-baselines3 pytorch-learn-reinforcement-learning vs Tetris-deep-Q-learning-pytorch tianshou vs cleanrl pytorch-learn-reinforcement-learning vs 6DRepNet tianshou vs ElegantRL pytorch-learn-reinforcement-learning vs Amortized-SVGD-GAN tianshou vs seed_rl pytorch-learn-reinforcement-learning vs nes-torch tianshou vs pytorch-a3c pytorch-learn-reinforcement-learning vs pytorch-GAT tianshou vs Deep-Reinforcement-Learning-Algorithms-with-PyTorch