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off-policy

Here are 39 public repositories matching this topic...

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

denisyarats / drq

DrQ: Data regularized Q

python control reinforcement-learning deep-learning pixel deep-reinforcement-learning pytorch gym rl data-augmentation sac actor-critic mujoco model-free off-policy dm-control drq soft-actor-crit

Updated Jan 13, 2023
Jupyter Notebook

rad

MishaLaskin / rad

RAD: Reinforcement Learning with Augmented Data

Updated Mar 29, 2021
Jupyter Notebook

TianhongDai / hindsight-experience-replay

This is the pytorch implementation of Hindsight Experience Replay (HER) - Experiment on all fetch robotic environments.

reinforcement-learning exploration ddpg her pytorch-implmention off-policy hindsight-experience-replay

Updated Dec 11, 2021
Python

instadeepai / flashbax

⚡ Flashbax: Accelerated Replay Buffers in JAX

machine-learning reinforcement-learning hpc buffers rl jax off-policy

Updated Oct 29, 2024
Python

pokaxpoka / sunrise

SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning

deep-neural-networks reinforcement-learning deep-learning deep-reinforcement-learning rainbow rl codebase deep-q-network sac deep-q-learning mujoco model-free off-policy dm-control soft-actor-critic

Updated Mar 21, 2021
Python

denisyarats / exorl

ExORL: Exploratory Data for Offline Reinforcement Learning

python control reinforcement-learning deep-learning pytorch datasets mujoco model-free off-policy offline-rl unsupevised exporation

Updated Feb 8, 2022
Python

zhihanyang2022 / off-policy-continuous-control

Official PyTorch code for "Recurrent Off-policy Baselines for Memory-based Continuous Control" (DeepRL Workshop, NeurIPS 21)

reinforcement-learning pytorch continuous-control actor-critic rdpg recurrent-neural-network off-policy rtd3 rsac

Updated Nov 21, 2023
Python

MohammadAsadolahi / Reinforcement-Learning-solving-a-simple-4by4-Gridworld-using-Qlearning-in-python

solving a simple 4*4 Gridworld almost similar to openAI gym FrozenLake using Qlearning Temporal difference method Reinforcement Learning

reinforcement-learning qlearning off-policy qlearning-on-gridworld

Updated Jun 29, 2024
Jupyter Notebook

lionelblonde / sam-pytorch

PyTorch implementation of "Sample-efficient Imitation Learning via Generative Adversarial Nets"

reinforcement-learning pytorch gan imitation-learning gail off-policy

Updated Nov 22, 2019
Python

Rosefintech / Rosefintech-RosefinAIEngine

RosefinAIEngine of Rosfintech

ai tensorflow engine off-policy

Updated Aug 17, 2021
Python

baturaysaglam / LA3P

Actor Prioritized Experience Replay

deep-reinforcement-learning actor-critic prioritized-experience-replay off-policy

Updated Nov 20, 2023
Python

lionelblonde / sam-tf

TensorFlow implementation of "Sample-efficient Imitation Learning via Generative Adversarial Nets"

reinforcement-learning tensorflow gan imitation-learning gail off-policy

Updated Dec 8, 2022
Python

baturaysaglam / AC-Off-POC

Off-Policy Correction for Actor-Critic Algorithms in Deep Reinforcement Learning

deep-reinforcement-learning actor-critic importance-sampling off-policy experience-replay

Updated Feb 18, 2024
Python

bmaxdk / DeepRL-ND-Continuous-Control

DDPG and D4PG Continuous Control

unity deep-reinforcement-learning openai-gym pytorch ddpg-algorithm model-free off-policy d4pg-algorithm

Updated Jul 13, 2023
ASP.NET

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

amirhosein-mesbah / Reinforcement_learning

This repository contains the implementation of a wide variety of Reinforcement Learning Projects in different applications of Bandit Algorithms, MDPs, Distributed RL and Deep RL. These projects include university projects and projects implemented due to interest in Reinforcement Learning.

reinforcement-learning deep-reinforcement-learning q-learning gym mdp deeprl bandit-algorithms on-policy off-policy multi-agent-reinforcement-learning distributed-reinforcement-learning network-routing stablebaselines3

Updated Feb 18, 2023
Jupyter Notebook

lionelblonde / liayn-pytorch

PyTorch implementation of our work: "Lipschitzness Is All You Need To Tame Off-policy Generative Adversarial Imitation Learning"

reinforcement-learning pytorch gan imitation-learning gail off-policy

Updated Apr 19, 2022
Python

HYDesmondLiu / RUBICON

A novel method to incorporate existing policy (Rule-based control) with Reinforcement Learning.

machine-learning reinforcement-learning deep-learning optimization deep-reinforcement-learning reinforcement-learning-algorithms optimal-control climate-change energy-efficiency thermal-comfort deterministic-policy-gradients actor-critic-algorithm off-policy hvac-control rule-based-controller

Updated Sep 27, 2024
Python

cbanerji / Sample_efficient_RL.

Collection of codes pertaining to my research in model-free RL algorithms.

ddpg off-policy td3 soft-actor-critic model-free-rl sample-efficient-rl

Updated Oct 4, 2022
Python

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