Open-source implementation of AlphaEvolve

AutoThink is a reinforcement learning framework designed to equip R1-style language models with adaptive reasoning capabilities. Instead of always thinking or never thinking, the model learns when …

Official Repository of "Learning to Reason under Off-Policy Guidance"

Verification of Google DeepMind's AlphaEvolve 48-multiplication matrix algorithm, a breakthrough in matrix multiplication after 56 years.

An Extended Benchmarking of Multi-Agent Reinforcement Learning Algorithms in Complex Fully Cooperative Tasks

[ICML 2025] Official Code of SMPE: "Enhancing Cooperative Multi-Agent Reinforcement Learning with State Modelling and Adversarial Exploration"

Drone Automation using Multi-Agent Reinforcement Learning

Training of Drone Swarms using StableBaselines3, PettingZoo, AirSim and UE4

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

PyTorch implementation of the state-of-the-art distributional reinforcement learning algorithm Fully Parameterized Quantile Function (FQF) and Extensions: N-step Bootstrapping, PER, Noisy Layer, Du…

Implementation of 'A Distributional Perspective on Reinforcement Learning' and 'Distributional Reinforcement Learning with Quantile Regression' based on OpenAi DQN baselines.

PRML Page-by-page配套资料，对PRML全书及各章节的review

A list of papers regarding generalization in (deep) reinforcement learning

Lightweight multi-agent gridworld Gym environment

Perceiver-Actor: A Multi-Task Transformer for Robotic Manipulation

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

Unofficial Gato: A Generalist Agent

Minimal code for A Generalist Agent

A cute running cat animation on your windows taskbar.

DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DDPG, TD3, SAC)

some common TD Learning algorithms

A visualization of proto-value functions

Code for the paper "Gamma-Models: Generative Temporal Difference Learning for Infinite-Horizon Prediction"