Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
RL algorithms, environments, simulators and decision-making systems.
Signals: reinforcement-learning, deep-reinforcement-learning, rl, gymnasium, openai-gym, multi-agent-reinforcement-learning, imitation-learning
664 results
Reinforcement Learning Algorithms Based on PyTorch
Pytorch for Deep Reinforcement Learning
Multi-Objective Reinforcement Learning
Simulated the scenario between edge servers and users with a clear graphic interface. Also, implemented the continuous control with Deep Deterministic Policy Gradient (DDPG) to determine the resources allocation (offload targets, computational resources, migration bandwidth) in the edge servers
Deep Reinforcement Learning in Pac-man
Mean Field Multi-Agent Reinforcement Learning
RLPy Reinforcement Learning Framework
Research Papers and Code Repository on the Integration of Evolutionary Algorithms and Reinforcement Learning
Unreal environments for reinforcement learning
Market Making via Reinforcement Learning
Collection of Deep Reinforcement Learning algorithms
Using tabular and deep reinforcement learning methods to infer optimal market making strategies
GitHub's code repository is all you need
Code of Paper "Joint Task Offloading and Resource Optimization in NOMA-based Vehicular Edge Computing: A Game-Theoretic DRL Approach", JSA 2022.
📚 List of Top-tier Conference Papers on Reinforcement Learning (RL)，including: NeurIPS, ICML, AAAI, IJCAI, AAMAS, ICLR, ICRA, etc.
Reinforcement learning with PyTorch, inspired by MorvanZhou, change the framework from Tensorflow to PyTorch
EasyRL: An easy-to-use and comprehensive reinforcement learning package.
Collection of Reinforcement Learning / Meta Reinforcement Learning Environments.
This repo contains the code for paper "Dense reinforcement learning for safety validation of autonomous vehicles"
This repository presents our work during a project realized in the context of the IEOR 8100 RL Class at Columbia University.
DEEp Reinforcement learning framework
Using deep actor-critic model to learn best strategies in pair trading
Codebase for Evolutionary Reinforcement Learning (ERL) from the paper "Evolution-Guided Policy Gradients in Reinforcement Learning" published at NeurIPS 2018
pytorch neural combinatorial optimization
24,544 repositories in the index in total.
