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model-free-rl

Here are 45 public repositories matching this topic...

AI4Finance-Foundation / ElegantRL

Massively Parallel Deep Reinforcement Learning. 🔥

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

Updated Nov 12, 2024
Python

MishaLaskin / curl

CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning

deep-neural-networks reinforcement-learning deep-learning curl gpu deep-reinforcement-learning deep-learning-algorithms reinforcement-learning-algorithms deeplearning deep-q-network sac deep-q-learning reinforcement-agents deep-rl deeplearning-ai contrastive-loss off-policy contrastive-predictive-coding model-free-rl contrastive-learning

Updated Oct 28, 2020
Python

dongminlee94 / deep_rl

PyTorch implementation 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

yingchengyang / Reinforcement-Learning-Papers

Related papers for reinforcement learning, including classic papers and latest papers in top conferences

reinforcement-learning reinforcement-learning-papers model-based-rl model-free-rl meta-reinforcement-learning unsupervised-reinforcement-learning offline-rl generalization-reinforcement-learning icml22 neurips22 iclr23 icml23 neurips23 iclr24 icml24 neurips24

Updated Oct 1, 2024

erfanMhi / Deep-Reinforcement-Learning-CS285-Pytorch

Solutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch framework

python reinforcement-learning deep-learning berkeley deep-reinforcement-learning openai-gym pytorch neural-networks policy-gradient deep-q-learning mujoco model-based-rl actor-critic-algorithm model-free-rl

Updated Nov 21, 2022
Python

dongminlee94 / Samsung-DRL-Code

A repository for implementation of deep reinforcement learning lectured at Samsung

reinforcement-learning deep-reinforcement-learning pytorch pytorch-rl model-free-rl

Updated Sep 20, 2021
Python

xlnwel / model-free-algorithms

TD3, SAC, IQN, Rainbow, PPO, Ape-X and etc. in TF1.x

reinforcement-learning rainbow ddpg sac ppo td3 model-free-rl

Updated Apr 5, 2021
Python

manantomar / Mirror-Descent-Policy-Optimization

Mirror Descent Policy Optimization

reinforcement-learning deep-learning deep-reinforcement-learning deep-learning-algorithms sac trpo deep-rl ppo deep-learning-ai policy-optimization stable-baselines model-free-rl mirror-descent mdpo

Updated Oct 31, 2020
Python

dongminlee94 / Reinforcement-Learning-Code

A repository for code of reinforcement learning algorithms with PyTorch

reinforcement-learning algorithms pytorch inverse-reinforcement-learning pytorch-rl model-free-rl

Updated Sep 20, 2021
Python

makaveli10 / reinforcementLearning

Reinforcement Learning - Implementation of Exercises, algorithms from the book Sutton Barto and David silver's RL course in Python, OpenAI Gym.

Updated May 3, 2020
Jupyter Notebook

AIR-DI / D2C

D2C(Data-driven Control Library) is a library for data-driven control based on reinforcement learning.

h2o deep-reinforcement-learning pytorch doge imitation-learning bc model-free-rl iql offline-rl

Updated Oct 18, 2023
Python

vision-cartpole-dqn

fedebotu / vision-cartpole-dqn

Implementation of the CartPole from OpenAI's Gym using only visual input for Reinforcement Learning control with DQN

reinforcement-learning computer-vision openai-gym dqn cartpole inverted-pendulum model-free model-free-rl model-free-control vision-cartpole

Updated Apr 8, 2021
Jupyter Notebook

paulvantieghem / curla

CURLA: CURL x CARLA -- Robust end-to-end Autonomous Driving by combining Contrastive Learning and Reinforcement Learning

machine-learning reinforcement-learning deep-learning curl deep-reinforcement-learning pytorch autonomous-car self-driving-car representation-learning autonomous-driving autonomous-vehicles carla carla-simulator self-supervised-learning soft-actor-critic model-free-rl contrastive-learning

Updated Feb 6, 2024
Python

mohammadzainabbas / Reinforcement-Learning-CS

💡 Grasp - Pick-and-place with a robotic hand 👨🏻‍💻

python reinforcement-learning physics-engine pytorch mamba sac gym-environment ppo model-free-rl ppo-agent brax ppo-algorithm

Updated Dec 15, 2023
Jupyter Notebook

SSubhnil / BAC-DAC-gym

Bayesian Actor-Critic with Neural Networks. Developing an OpenAI Gym toolkit for Bayesian AC reinforcement learning.

reinforcement-learning gym bayesian-optimization bayesian-machine-learning continuous-control actor-critic model-free-rl bayesian-reinforcement-learning

Updated Aug 14, 2021
Python

MathPhysSim / FERMI_RL_Paper

The repo for the FERMI FEL paper using model-based and model-free reinforcement learning methods to solve a particle accelerator operation problem.

reinforcement-learning reinforcement-learning-algorithms fel trpo naf model-based-reinforcement-learning accelerators model-free-rl ae-dyna applied-reinforcement-learning acclerator-physics

Updated Jun 28, 2021
Python

narjesno / Reinforcement-Learning

This repository contains all of the Reinforcement Learning-related projects I've worked on. The projects are part of the graduate course at the University of Tehran.

monte-carlo epsilon-greedy policy-gradient sarsa dynamic-programming policy-iteration model-based-rl n-armed-bandit-problem on-policy off-policy double-q-learning model-free-rl n-step-bootstrapping n-step-expected-sarsa n-step-tree-backup ucb-algorithm

Updated Oct 2, 2021
HTML

fedebotu / a3c-flappy-bird

Deep Reinforcement Learning implementation in Keras of an AI controlling the popular Flappy Bird videogame, using Asynchronous Advantage Actor Critic (A3C)

reinforcement-learning flappy-bird deep-reinforcement-learning a3c model-free model-free-rl

Updated Dec 22, 2020
Python

ShreeshaN / ReinforcementLearningTutorials

This repo contains implementations of algorithms such a Q-learning, SARSA, TD, Policy gradient

q-learning pytorch dqn epsilon-greedy breakout sarsa policy-iteration value-iteration monte-carlo-methods deep-q-learning model-based-rl model-free-rl td-methods model-free-control

Updated Dec 8, 2019
Python

matakshay / DeepRL-for-Delayed-Rewards

Deep RL for Temporal Credit Assignment in decision processes with delayed rewards

deep-neural-networks monte-carlo deep-reinforcement-learning q-learning pytorch reinforcement-learning-algorithms sarsa markov-decision-processes multi-layer-perceptron temporal-differencing-learning node2vec state-representation-learning graph-neural-networks graph-representation-learning pytorch-geometric model-free-rl epsilon-greedy-exploration delayed-rewards episodic-rewards temporal-credit-assignment

Updated Jun 18, 2022
Jupyter Notebook

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