deep-rl

lexfridman/deeptraffic

DeepTraffic is a deep reinforcement learning competition, part of the MIT Deep Learning series.

devendrachaplot/Neural-SLAM

Pytorch code for ICLR-20 Paper "Learning to Explore using Active Neural SLAM"

kengz/awesome-deep-rl

A curated list of awesome Deep Reinforcement Learning resources.

MishaLaskin/curl

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

devendrachaplot/Object-Goal-Navigation

Pytorch code for NeurIPS-20 Paper "Object Goal Navigation using Goal-Oriented Semantic Exploration"

gxywy/rl-plotter

:sparkles: A plotter for reinforcement learning (RL)

CapsuleEndoscope/VirtualCapsuleEndoscopy

VR-Caps: A Virtual Environment for Active Capsule Endoscopy

epignatelli/navix

Accelerated minigrid environments with JAX

LJ147/spinningup

OpenAI团队的深度强化学习教程中文版

YiqinYang/ICQ

Codes accompanying the paper "Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning" (NeurIPS 2021 Spotlight https://arxiv.org/abs/2106.03400)

chandar-lab/Recall2Imagine

Recall to Imagine, a model-based RL algorithm with superhuman memory. Oral (1.2%) @ ICLR 2024

mike-gimelfarb/deep-successor-features-for-transfer

A reusable framework for successor features for transfer in deep reinforcement learning using keras.

jakegrigsby/super_sac

A general model-free off-policy actor-critic implementation. Continuous and Discrete Soft Actor-Critic with multimodal observations, data augmentation, offline learning and behavioral cloning.

manantomar/Mirror-Descent-Policy-Optimization

Mirror Descent Policy Optimization

qiwihui/spinningup

OpenAI团队的深度强化学习教程中文版

aminkhani/Deep-RL

You can see a reference for Books, Articles, Courses and Educational Materials in this field. Implementation of Reinforcement Learning Algorithms and Environments. Python, OpenAI Gym, Tensorflow.

leolellisr/poke_RL

Code repository with classical reinforcement learning and deep reinforcement learning methods for Pokémon battles in Pokémon Showdown.

dbobrenko/reinforceflow

Deep Reinforcement Learning framework based on TensorFlow and OpenAI Gym

KanishkNavale/AI-for-Robot-Tasks

This repository implements the use of AI for robot tasks.

hiwonjoon/cs294-deep-rl-hw

Berkeley DeepRL Homework

aai-institute/tfl-training-rl

Yangyangii/Curiosity-Driven-A2C

Implementation of Curiosity-Driven Exploration with PyTorch

lgvaz/rlbox

RLbox: Solving OpenAI Gym with TensorFlow

kkhetarpal/unrealwithattention

Attend Before you Act: Leveraging human visual attention for continual learning

holarissun/Accountable-Offline-RL

Code for NeurIPS 2023 paper Accountability in Offline Reinforcement Learning: Explaining Decisions with a Corpus of Examples

SafeRoboticsLab/Deception_Game

Synthesizing safe robot policies in joint physical-belief spaces with deep RL! - CoRL 2023

FeiyuYangAIOptimPlanning/DRLA-eTGM

DRLA-eTGM

reza-ebrahimi/awesome-autonomous-systems

A curated list of awesome intelligent autonomous systems ecosystem

daniel-furman/HyperSpectralDRL

Deep RL for unsupervised hyperspectral band selection.

gbartyzel/yadrl

Yet another deep reinforcement learning

albjerto/moon-landing

Deep Q-Learning algorithms to solve LunarLander-v2.

ashutoshtiwari13/Demystifying-Deep-Reinforcement-Learning

⚡️ Code and Notes 📝 for Grokking Deep RL and RL: An Introduction by Sutton & Barto(2nd edition, 2018) 🤘

fardinabbasi/Reinforcement_Learning

A collection of deep and tabular reinforcement learning algorithms, including implementations of DQN, Dueling DQN, Q-learning, SARSA, n-step Tree Backup, and Monte Carlo.

kamenbliznashki/learn_to_move

My solution to the NeurIPS challenge Learn to Move: Walk Around

NUS-LID/RENAULT

Ensemble and Auxiliary Tasks for Data-Efficient Deep Reinforcement Learning