## FedFormer: Contextual Federation with Attention in Reinforcement Learning (NeurIPS 2022)

FedFormer: Contextual Federation with Attention in Reinforcement Learning (NeurIPS 2022)

FedFormer: Contextual Federation with Attention in Reinforcement Learning (NeurIPS 2022)

Average-Reward Reinforcement Learning with Trust Region Methods

Reinforcement Learning for Classical Planning

FInancial REinforcement learning

SafePicking: Learning Safe Object Extraction via Object-Level Mapping, ICRA 2022

An algorithm for exploiting Reinforcement Learning (RL) on Multi-agent Path Finding tasks

Reinforcement learning with wordle and open-ai gym

Minimal implementaion of Decision Transformer: Reinforcement Learning via Sequence Modeling in PyTorch for mujoco control tasks in OpenAI gym

Self-Correcting Quantum Many-Body Control using Reinforcement Learning with Tensor Networks

PICO - An algorithm for exploiting Reinforcement Learning (RL) on Multi-agent Path Finding tasks

ExORL: Exploratory Data for Offline Reinforcement Learning

Bingham Policy Parameterization for 3D Rotations in Reinforcement Learning

Graph Convolution-Based Deep Reinforcement Learning for Multi-Agent Decision-Making in Mixed Traffic Environments

Reinforcement Learning Quickstart

Repository of the class assignment questions for the course on reinforcement learning

An experiment on the performance of homemade Q-learning AIs in Agar.io depending on their state representation and available actions

Keras implementation of Upside Down Reinforcement Learning

Tackling Obstacle Tower Challenge using PPO & A2C combined with ICM

[AI6101] Introduction to AI & AI Ethics is a core course of MSAI, SCSE, NTU, Singapore

Finding a method to objectively quantify skill expression in games, using reinforcement learning

A simple wrapper to analyse and visualise reinforcement learning agents' behaviour in the environment

RLMeta - a light-weight flexible framework for Distributed Reinforcement Learning Research

DvD-TD3: Diversity via Determinants for TD3 version

Interact, Embed, and EnlargE (IEEE): Boosting Modality-specific Representations for Multi-Modal Person Re-identification

Minecraft agent to farm resources using reinforcement learning

The code that teaches a reinforcement learning - based bot to play 2048

How the Deep Q-learning method works and discuss the new ideas that makes the algorithm work

Training Atari2600 by Reinforcement Learning

The Environment I built to study Reinforcement Learning + Pokemon Showdown

The Environment I built to study Reinforcement Learning + Pokemon Showdown

Independent and minimal implementations of some reinforcement learning algorithms using PyTorch

On Pathologies in KL-Regularized Reinforcement Learning from Expert Demonstrations

Multi-agent reinforcement learning algorithm and environment

Reinforcement learning for self-driving in a 3D simulation

A sandbox learning environment for the training and evaluation of reinforcement learning (RL) agents on text-based games

A library to facilitate the implementation of new reinforcement learning algorithms

Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling

Robot Reinforcement Learning on the Constraint Manifold

Control Strategy of Speed Servo Systems Based on Deep Reinforcement Learning

Implementation of Advantage-Weighted Regression: Simple and Scalable Off-Policy Reinforcement Learning

Solving sudoku using Deep Reinforcement learning in combination with powerful symbolic representations

An example project demonstrating how the Autonomous Learning Library can be used to build new reinforcement learning agents

L2F : Learning to Forget for Meta-Learning

Traffic flow test platform, especially for reinforcement learning

Conservative Q Learning for Offline Reinforcement Reinforcement Learning in JAX

CityLearn Challenge Multi-Agent Reinforcement Learning for Intelligent Energy Management

Rocket-recycling with Reinforcement Learning

Interface fceux with python and run reinforcement learning

Predicting path with preference based on user demonstration using Maximum Entropy Deep Inverse Reinforcement Learning in a continuous environment

The Unsupervised Reinforcement Learning Benchmark (URLB)