Deep-Reinforcement-Learning-Algorithms-with-PyTorch VS tianshou

Compare Deep-Reinforcement-Learning-Algorithms-with-PyTorch vs tianshou and see what are their differences.

Deep-Reinforcement-Learning-Algorithms-with-PyTorch

PyTorch implementations of deep reinforcement learning algorithms and environments (by p-christ)
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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
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Deep-Reinforcement-Learning-Algorithms-with-PyTorch tianshou
2 8
5,423 7,435
- 1.7%
3.6 9.5
9 months ago 3 days ago
Python Python
MIT License MIT License
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Deep-Reinforcement-Learning-Algorithms-with-PyTorch

Posts with mentions or reviews of Deep-Reinforcement-Learning-Algorithms-with-PyTorch. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-05-07.

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 Deep-Reinforcement-Learning-Algorithms-with-PyTorch and tianshou you can also consider the following projects:

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

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

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

ElegantRL - Massively Parallel Deep Reinforcement Learning. 🔥

Deep-Q-Learning - Tensorflow implementation of Deepminds dqn with double dueling networks

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.

mtrl - Multi Task RL Baselines

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

mbrl-lib - Library for Model Based RL

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

Deep-Reinforcement-Learning-Algorithms-with-PyTorch vs stable-baselines3 tianshou vs stable-baselines3 Deep-Reinforcement-Learning-Algorithms-with-PyTorch vs cleanrl tianshou vs cleanrl Deep-Reinforcement-Learning-Algorithms-with-PyTorch vs machin tianshou vs ElegantRL Deep-Reinforcement-Learning-Algorithms-with-PyTorch vs Deep-Q-Learning tianshou vs pytorch-learn-reinforcement-learning Deep-Reinforcement-Learning-Algorithms-with-PyTorch vs mtrl tianshou vs seed_rl Deep-Reinforcement-Learning-Algorithms-with-PyTorch vs mbrl-lib tianshou vs pytorch-a3c