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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 Nov 14, 2024
Python

eliashornberg / CartPole-A2C-reinforcement-learning

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This repository contains the implementation of the K-workers, n-step Advantage Actor-Critic (A2C) algorithm applied to the CartPole environment, as part of a reinforcement learning project for the EPFL Spring Semester 2024 course on Artificial Neural Networks and Reinforcement Learning.

reinforcement-learning pytorch artificial-intelligence cartpole advantage-actor-critic

Updated Sep 15, 2024
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AliBakly / CartPole-A2C-reinforcement-learning

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This repository contains the implementation of the K-workers, n-step Advantage Actor-Critic (A2C) algorithm applied to the CartPole environment, as part of a reinforcement learning project for the EPFL Spring Semester 2024 course on Artificial Neural Networks and Reinforcement Learning.

reinforcement-learning pytorch artificial-intelligence cartpole advantage-actor-critic

Updated Jul 13, 2024
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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

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

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

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

lcswillems / torch-ac

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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

LukasDrews97 / flappy-bird-reinforcement-learning

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Training a Reinforcement Learning Agent to Play Flappy Bird.

machine-learning reinforcement-learning flappy-bird pytorch proximal-policy-optimization reinforcement-learning-agent advantage-actor-critic stable-baselines3

Updated Sep 23, 2022
Python

nslyubaykin / relax_a2c_example

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Example A2C implementation with ReLAx

reinforcement-learning policy-gradient reinforcement-learning-algorithms continuous-control advantage-actor-critic discrete-control

Updated Aug 29, 2022
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dksifoua / Reinforcement-Learning

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reinforcement-learning monte-carlo q-learning policy-gradient sarsa dynamic-programming reinforce markov-decision-processes actor-critic asynchronous-advantage-actor-critic proximal-policy-optimization advantage-actor-critic dyna-q temporal-difference

Updated May 3, 2024
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ikostrikov / pytorch-a2c-ppo-acktr-gail

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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).