[TMC] Delay-Sensitive Energy-Efficient UAV Crowdsensing by Deep Reinforcement Learning
[TMC] Delay-Sensitive Energy-Efficient UAV Crowdsensing by Deep Reinforcement Learning
AoI-minimal UAV Crowdsensing by Model-based Graph Convolutional Reinforcement Learning
AoI-minimal UAV Crowdsensing by Model-based Graph Convolutional Reinforcement Learning
Distributed and Energy-Efficient Mobile Crowdsensing with Charging Stations by Deep Reinforcement Learning
Distributed and Energy-Efficient Mobile Crowdsensing with Charging Stations by Deep Reinforcement Learning
Standard interface for entity based reinforcement learning environments
Standard interface for entity based reinforcement learning environments
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
Average-Reward Reinforcement Learning with Trust Region Methods
Reinforcement Learning for Classical Planning
Reinforcement Learning for Classical Planning
FInancial REinforcement learning
FInancial REinforcement learning
SafePicking: Learning Safe Object Extraction via Object-Level Mapping, ICRA 2022
SafePicking: Learning Safe Object Extraction via Object-Level Mapping, ICRA 2022
An algorithm for exploiting Reinforcement Learning (RL) on Multi-agent Path Finding tasks
An algorithm for exploiting Reinforcement Learning (RL) on Multi-agent Path Finding tasks
Reinforcement learning with wordle and open-ai gym
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
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
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
PICO - An algorithm for exploiting Reinforcement Learning (RL) on Multi-agent Path Finding tasks
ExORL: Exploratory Data for Offline Reinforcement Learning
ExORL: Exploratory Data for Offline Reinforcement Learning
Bingham Policy Parameterization for 3D Rotations in 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
Graph Convolution-Based Deep Reinforcement Learning for Multi-Agent Decision-Making in Mixed Traffic Environments
Reinforcement Learning Quickstart
Reinforcement Learning Quickstart
Repository of the class assignment questions for the course on reinforcement learning
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
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
Keras implementation of Upside Down Reinforcement Learning
Tackling Obstacle Tower Challenge using PPO & A2C combined with ICM
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
[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
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
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
RLMeta - a light-weight flexible framework for Distributed Reinforcement Learning Research
DvD-TD3: Diversity via Determinants for TD3 version
DvD-TD3: Diversity via Determinants for TD3 version
Interact, Embed, and EnlargE (IEEE): Boosting Modality-specific Representations for Multi-Modal Person Re-identification
Interact, Embed, and EnlargE (IEEE): Boosting Modality-specific Representations for Multi-Modal Person Re-identification
Minecraft agent to farm resources using reinforcement learning
Minecraft agent to farm resources using reinforcement learning
The code that teaches a reinforcement learning - based bot to play 2048
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
How the Deep Q-learning method works and discuss the new ideas that makes the algorithm work
Training Atari2600 by Reinforcement Learning
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
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
Independent and minimal implementations of some reinforcement learning algorithms using PyTorch
On Pathologies in KL-Regularized Reinforcement Learning from Expert Demonstrations
On Pathologies in KL-Regularized Reinforcement Learning from Expert Demonstrations
Multi-agent reinforcement learning algorithm and environment
Multi-agent reinforcement learning algorithm and environment
Reinforcement learning for self-driving in a 3D simulation
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 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
A library to facilitate the implementation of new reinforcement learning algorithms
Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling
Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling
Robot Reinforcement Learning on the Constraint Manifold
Robot Reinforcement Learning on the Constraint Manifold
Control Strategy of Speed Servo Systems Based on Deep Reinforcement Learning
Control Strategy of Speed Servo Systems Based on Deep Reinforcement Learning
Implementation of Advantage-Weighted Regression: Simple and Scalable Off-Policy 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
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
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
L2F : Learning to Forget for Meta-Learning
Traffic flow test platform, especially for reinforcement learning
Traffic flow test platform, especially for reinforcement learning
Conservative Q Learning for Offline Reinforcement Reinforcement Learning in JAX
Conservative Q Learning for Offline Reinforcement Reinforcement Learning in JAX
CityLearn Challenge Multi-Agent Reinforcement Learning for Intelligent Energy Management
CityLearn Challenge Multi-Agent Reinforcement Learning for Intelligent Energy Management