advantage-actor-critic

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vwxyzjn /cleanrl

Star9.1k

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

UpdatedJul 8, 2025
Python

ikostrikov /pytorch-a2c-ppo-acktr-gail

Star3.9k

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

UpdatedMay 29, 2022
Python

qfettes /DeepRL-Tutorials

Star1.1k

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

UpdatedMay 19, 2021
Jupyter Notebook

Kismuz /btgym

Star1k

Scalable, event-driven, deep-learning-friendly backtesting library

reinforcement-learning time-series tensorflow deep-reinforcement-learning openai-gym unreal policy-gradient a3c hacktoberfest algorithmic-trading-library quantitive-finance backtesting-trading-strategies statistical-arbitrage gym-environment advantage-actor-critic backtrader policy-optimisation algoritmic-trading

UpdatedAug 28, 2021
Python

cpnota /autonomous-learning-library

Star655

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

UpdatedMar 17, 2024
Python

ChenglongChen /pytorch-DRL

Star611

PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.

reinforcement-learning deep-reinforcement-learning pytorch multi-agent dqn rl deep-q-network ddpg drl actor-critic deep-deterministic-policy-gradient proximal-policy-optimization ppo advantage-actor-critic a2c acktr madrl

UpdatedNov 11, 2017
Python

Omegastick /pytorch-cpp-rl

Star530

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

UpdatedMay 3, 2020
C++

PacktPublishing /Hands-On-Intelligent-Agents-with-OpenAI-Gym

Star397

Code for Hands On Intelligent Agents with OpenAI Gym book to get started and learn to build deep reinforcement learning agents using PyTorch

deep-reinforcement-learning openai-gym pytorch dqn learning-agents actor-critic pytorch-a3c intelligent-agents advantage-actor-critic carla-simulator pytorch-carla carla-driving-simulator

UpdatedJan 24, 2023
Python

bentrevett /pytorch-rl

Star295

Tutorials for reinforcement learning in PyTorch and Gym by implementing a few of the popular algorithms. [IN PROGRESS]

reinforcement-learning pytorch policy-gradient reinforcement-learning-algorithms rl actor-critic pytorch-tutorial pytorch-tutorials pytorch-rl advantage-actor-critic a2c pytorch-implmention pytorch-implementation generalized-advantage-estimation

UpdatedOct 23, 2020
Jupyter Notebook

lcswillems /torch-ac

Star206

Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO

reinforcement-learning deep-reinforcement-learning pytorch recurrent-neural-networks multi-process a3c minigrid recurrent actor-critic proximal-policy-optimization ppo advantage-actor-critic a2c reward-shaping

UpdatedOct 5, 2022
Python

inoryy /tensorflow2-deep-reinforcement-learning

Star206

Code accompanying the blog post "Deep Reinforcement Learning with TensorFlow 2.1"

tensorflow keras deep-reinforcement-learning advantage-actor-critic a2c tensorflow2

UpdatedAug 12, 2021
Jupyter Notebook

CherryPieSexy /imitation_learning

Star149

PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.

reinforcement-learning deep-learning deep-reinforcement-learning pytorch policy-gradient imitation-learning proximal-policy-optimization ppo advantage-actor-critic a2c gail ppo-pytorch ppo-algo recurrent-ppo gail-ppo

UpdatedNov 15, 2021
Python

jcwleo /curiosity-driven-exploration-pytorch

Star146

Curiosity-driven Exploration by Self-supervised Prediction

reinforcement-learning pytorch icm proximal-policy-optimization advantage-actor-critic curiosity-driven

UpdatedMar 12, 2023
Python

Urinx /ReinforcementLearning

Star96

Reinforcing Your Learning of Reinforcement Learning

reinforcement-learning tic-tac-toe space-invaders q-learning doom dqn mcts policy-gradient cartpole gomoku ddpg atari-2600 alphago frozenlake ppo advantage-actor-critic alphago-zero

UpdatedJul 14, 2019
Python

rpatrik96 /pytorch-a2c

Star52

A well-documented A2C written in PyTorch

python deep-neural-networks reinforcement-learning deep-learning deep-reinforcement-learning openai-gym python3 pytorch reinforcement-learning-algorithms advantage actor-critic pytorch-tutorial reinforcement-learning-agent advantage-actor-critic a2c baselines pytorch-implementation stable-baselines episode-rollout

UpdatedJun 3, 2019
Python

med-air /DEX

Star46

[ICRA 2023] Demonstration-Guided Reinforcement Learning with Efficient Exploration for Task Automation of Surgical Robot

reinforcement-learning ddpg sac pytorch-rl advantage-actor-critic gail hindsight-experience-replay surgical-robots sqil awac automation-robotics goal-conditioned-rl

UpdatedMay 19, 2023
Python

popovicidaniela /Master-Thesis

Star38

Deep Reinforcement Learning in Autonomous Driving: the A3C algorithm used to make a car learn to drive in TORCS; Python 3.5, Tensorflow, tensorboard, numpy, gym-torcs, ubuntu, latex

python multi-threading deep-neural-networks latex reinforcement-learning deep-learning asynchronous tensorflow numpy deep-reinforcement-learning multithreading python-3-5 torcs reinforcement-learning-algorithms tensorboard a3c autonomous-driving actor-critic advantage-actor-critic gym-torcs

UpdatedDec 10, 2017
TeX

dionhaefner /yahtzotron

Star22

The friendly robot that beats you in Yahtzee 🤖 🎲

reinforcement-learning haiku yahtzee advantage-actor-critic jax yatzy

UpdatedDec 11, 2024
Python

monoelh /deep-reinforcement-learning_DDQN_PPO_HER

Star19

MLP-framework (pure numpy) and DDQN-framework for OpenAI's Gym games. +test code for PPO added. +Hindsight Experience Replay(HER) bitflip-DQN example. +prioritized replay.

game numpy deep-reinforcement-learning openai-gym deep-q-network ddqn prioritized-replay ppo advantage-actor-critic policy-network ddqn-framework mlp-framework hindsight-experience-replay

UpdatedMay 24, 2018
Jupyter Notebook

Akella17 /Deep-Bayesian-Quadrature-Policy-Optimization

Star17

Official implementation of the AAAI 2021 paper Deep Bayesian Quadrature Policy Optimization.

reinforcement-learning deep-learning monte-carlo deep-reinforcement-learning pytorch policy-gradient gaussian-processes continuous-control actor-critic mujoco trust-region-policy-optimization advantage-actor-critic roboschool probablistic-numerics bayesian-quadrature natural-policy-gradient

UpdatedFeb 17, 2021
Python

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