Build software better, together

thu-ml / tianshou

Star

Open

How to support multi-agent reinforcement learning

34

youkaichao commented Jul 9, 2020

I have marked all applicable categories:
- exception-raising bug
- RL algorithm bug
- documentation request (i.e. "X is missing from the documentation.")
- new feature request
I have visited the [source website], and in particular read the [known issues]
I have searched through the [issue tracker] and [issue categories] for duplicates
[ ]

andri27-ts / Reinforcement-Learning

Star

Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

machine-learning reinforcement-learning qlearning deep-learning deep-reinforcement-learning artificial-intelligence dqn deepmind evolution-strategies ppo a2c policy-gradients

Updated Jun 30, 2020
Jupyter Notebook

simoninithomas / Deep_reinforcement_learning_Course

Star

Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch

qlearning deep-learning unity tensorflow deep-reinforcement-learning pytorch tensorflow-tutorials deep-q-network actor-critic deep-q-learning ppo a2c

Updated Apr 21, 2022
Jupyter Notebook

ShangtongZhang / DeepRL

Star

Modularized Implementation of Deep RL Algorithms in PyTorch

deep-reinforcement-learning rainbow pytorch dqn ddpg double-dqn dueling-network-architecture quantile-regression option-critic-architecture deeprl categorical-dqn ppo a2c prioritized-experience-replay option-critic td3

Updated May 10, 2022
Python

ikostrikov / pytorch-a2c-ppo-acktr-gail

Star

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).

reinforcement-learning deep-learning deep-reinforcement-learning pytorch atari hessian second-order continuous-control actor-critic ale mujoco proximal-policy-optimization ppo advantage-actor-critic a2c acktr natural-gradients roboschool kfac kronecker-factored-approximation

Updated May 29, 2022
Python

sweetice / Deep-reinforcement-learning-with-pytorch

Star

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

algorithm deep-learning deep-reinforcement-learning pytorch dqn policy-gradient sarsa resnet a3c reinforce sac alphago actor-critic trpo ppo a2c actor-critic-algorithm td3

Updated May 26, 2022
Python

seungeunrho / minimalRL

Star

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

machine-learning reinforcement-learning deep-learning simple deep-reinforcement-learning pytorch dqn a3c reinforce ddpg sac acer ppo a2c policy-gradients

Updated Dec 1, 2021
Python

AI4Finance-Foundation / ElegantRL

Sponsor

Star

Scalable and Elastic Deep Reinforcement Learning Using PyTorch. Please star. 🔥

lightweight reinforcement-learning gae efficient pytorch stable dqn ddpg sac per multiple-gpu ppo a2c td3 model-free-rl drl-pytorch bipedalwalkerhardcore

Updated Jun 6, 2022
Python

kengz / SLM-Lab

Star

Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".

benchmark reinforcement-learning deep-reinforcement-learning pytorch dqn policy-gradient a3c sac ppo a2c

Updated May 1, 2022
Python

vwxyzjn / cleanrl

Sponsor

Star

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

python machine-learning reinforcement-learning deep-learning deep-reinforcement-learning pytorch gym atari actor-critic ale proximal-policy-optimization ppo advantage-actor-critic a2c wandb phasic-policy-gradient

Updated Jun 5, 2022
Python

qfettes / DeepRL-Tutorials

Star

Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

reinforcement-learning gae deep-reinforcement-learning rainbow python3 pytorch deep-q-network actor-critic double-dqn quantile-regression dueling-dqn categorical-dqn ppo advantage-actor-critic a2c deep-recurrent-q-network prioritized-experience-replay multi-step-learning noisy-networks deeprl-tutorials

Updated May 19, 2021
Jupyter Notebook

Khrylx / PyTorch-RL

Star

PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.

reinforcement-learning deep-reinforcement-learning pytorch generative-adversarial-network policy-gradient trpo fisher-vectors pytorch-rl proximal-policy-optimization ppo a2c

Updated Feb 9, 2021
Python

cpnota / autonomous-learning-library

Star

A PyTorch library for building deep reinforcement learning agents.

reinforcement-learning deep-reinforcement-learning dqn reinforcement-learning-algorithms ddpg sac deep-q-learning deep-deterministic-policy-gradient proximal-policy-optimization ppo advantage-actor-critic a2c soft-actor-critic dqn-pytorch

Updated Apr 19, 2022
Python

TianhongDai / reinforcement-learning-algorithms

Star

This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Dueling Network, DDPG, SAC, A2C, PPO, TRPO. (More algorithms are still in progress)

algorithm deep-learning atari2600 flappy-bird deep-reinforcement-learning pytorch dqn ddpg sac actor-critic trpo dueling-dqn trust-region-policy-optimization proximal-policy-optimization ppo a2c soft-actor-critic

Updated Jan 16, 2021
Python

germain-hug / Deep-RL-Keras

Star

Keras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)

reinforcement-learning keras openai dqn gym policy-gradient a3c ddpg ddqn keras-rl a2c d3qn dueling

Updated May 25, 2020
Python

marload / DeepRL-TensorFlow2

Star

🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2

machine-learning reinforcement-learning deep-learning algorithms tensorflow deep-reinforcement-learning dqn a3c reinforce ddpg sac double-dqn trpo dueling-dqn ppo a2c rainbow-dqn tensorflow2

Updated Jun 4, 2022
Python

dongminlee94 / deep_rl

Star

PyTorch implementations of deep reinforcement learning algorithms

deep-reinforcement-learning pytorch dqn ddpg sac npg ddqn trpo ppo a2c td3 model-free-rl vpg sac-aea

Updated Nov 19, 2021
Python

lcswillems / rl-starter-files

Star

RL starter files in order to immediatly train, visualize and evaluate an agent without writing any line of code

pytorch multi-process a3c minigrid ppo a2c reward-shaping preprocessed-observations

Updated Aug 17, 2021
Python

Omegastick / pytorch-cpp-rl

Star

PyTorch C++ Reinforcement Learning

reinforcement-learning cplusplus cpp pytorch reinforcement-learning-algorithms continuous-control actor-critic pytorch-rl proximal-policy-optimization ppo advantage-actor-critic a2c libtorch pytorch-cpp-frontend

Updated May 3, 2020
C++

Rafael1s / Deep-Reinforcement-Learning-Algorithms

Star

32 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.