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An extension of the PyMARL codebase that includes additional algorithms and environment support
Catppuccin Linux Theme by neuromask Telegram: https://t.me/catppuccin_theme
Multi-Objective Reinforcement Learning algorithms implementations.
Multi-objective Gymnasium environments for reinforcement learning
🏠 A collection of personal configuration files for various rices I have made.
Lime: Explaining the predictions of any machine learning classifier
A game theoretic approach to explain the output of any machine learning model.
Baseline implementation of recurrent PPO using truncated BPTT
Paper list of multi-agent reinforcement learning (MARL)
A curated list of awesome Deep Reinforcement Learning resources
A curated list of awesome reinforcement courses, video lectures, books, library and many more.
[NeurIPS'21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of seeds.
Roadmap to becoming an Artificial Intelligence Expert in 2022
Repo for reproduction of sequential social dilemmas
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
PyTorch Tutorial for Deep Learning Researchers
A curated list of awesome Deep Reinforcement Learning resources.
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKT…
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
High throughput synchronous and asynchronous reinforcement learning
A multi-agent RL where the agents learn "what" to communicate with each other.