advantage-actor-critic

Here are 37 public repositories matching this topic...

vwxyzjn / cleanrl

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 Sep 24, 2024
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).

Updated May 29, 2022
Python

qfettes / DeepRL-Tutorials

Star

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

Updated May 19, 2021
Jupyter Notebook

Kismuz / btgym

Star

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

Updated Aug 28, 2021
Python

cpnota / autonomous-learning-library

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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 Mar 17, 2024
Python

ChenglongChen / pytorch-DRL

Star

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

Updated Nov 11, 2017
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++

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

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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

Updated Jan 24, 2023
Python

bentrevett / pytorch-rl

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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

Updated Oct 23, 2020
Jupyter Notebook

inoryy / tensorflow2-deep-reinforcement-learning

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

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

Updated Aug 12, 2021
Jupyter Notebook

lcswillems / torch-ac

Star

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

Updated Oct 5, 2022
Python

CherryPieSexy / imitation_learning

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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

Updated Nov 15, 2021
Python

jcwleo / curiosity-driven-exploration-pytorch

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Curiosity-driven Exploration by Self-supervised Prediction

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

Updated Mar 12, 2023
Python

Urinx / ReinforcementLearning

Star

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

Updated Jul 14, 2019
Python

rpatrik96 / pytorch-a2c

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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

Updated Jun 3, 2019
Python

popovicidaniela / Master-Thesis

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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

Updated Dec 10, 2017
TeX

med-air / DEX

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[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

Updated May 19, 2023
Python

dionhaefner / yahtzotron

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The friendly robot that beats you in Yahtzee 🤖 🎲

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

Updated Apr 20, 2021
Python

monoelh / deep-reinforcement-learning_DDQN_PPO_HER

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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

Updated May 24, 2018
Jupyter Notebook

Po-Hsun-Su / dprl

Star

Deep reinforcement learning package for torch7

deep-reinforcement-learning dqn torch7 advantage-actor-critic

Updated Sep 17, 2016
Lua

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advantage-actor-critic

Here are 37 public repositories matching this topic...

vwxyzjn / cleanrl

ikostrikov / pytorch-a2c-ppo-acktr-gail

qfettes / DeepRL-Tutorials

Kismuz / btgym

cpnota / autonomous-learning-library

ChenglongChen / pytorch-DRL

Omegastick / pytorch-cpp-rl

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

bentrevett / pytorch-rl

inoryy / tensorflow2-deep-reinforcement-learning

lcswillems / torch-ac

CherryPieSexy / imitation_learning

jcwleo / curiosity-driven-exploration-pytorch

Urinx / ReinforcementLearning

rpatrik96 / pytorch-a2c

popovicidaniela / Master-Thesis

med-air / DEX

dionhaefner / yahtzotron

monoelh / deep-reinforcement-learning_DDQN_PPO_HER

Po-Hsun-Su / dprl

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