How RL Evolved

Playing Atari with Deep Reinforcement Learning

Deterministic Policy Gradient Algorithms

Trust Region Policy Optimization

Human-level control through deep reinforcement learning

Continuous control with deep reinforcement learning

Deep Reinforcement Learning with Double Q-learning

Prioritized Experience Replay

Mastering the game of Go with deep neural networks and tree search

Asynchronous Methods for Deep Reinforcement Learning

Hindsight Experience Replay

Proximal Policy Optimization Algorithms

Mastering the game of Go without human knowledge

Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor

A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play

Superhuman AI for multiplayer poker

Grandmaster level in StarCraft II using multi-agent reinforcement learning

Mastering Atari, Go, chess and shogi by planning with a learned model

Dota 2 with Large Scale Deep Reinforcement Learning

Learning to summarize from human feedback

Training language models to follow instructions with human feedback

Discovering faster matrix multiplication algorithms with reinforcement learning

Human-level play in the game of Diplomacy by combining language models with strategic reasoning

Mastering Diverse Domains through World Models

Faster sorting algorithms discovered using deep reinforcement learning

DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning