atari

12 progetti condividono questo topic GitHub

Le linee collegano membri che sono misurabilmente correlati tra loro. La dimensione dei punti riflette le stelle.

🧬 Membri

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly…

pytorch-a2c-ppo-acktr-gail

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable…

OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.

DIAMOND (DIffusion As a Model Of eNvironment Dreams) is a reinforcement learning agent trained in a diffusion…

[NeurIPS 2023 Spotlight] LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential…

XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library

Mastering Atari with Discrete World Models

Python library for Reinforcement Learning.

Transformers are Sample-Efficient World Models. ICLR 2023, notable top 5%.

Unified Reinforcement Learning Framework

awesome-monte-carlo-tree-search-papers

A curated list of Monte Carlo tree search papers with implementations.

A3C LSTM Atari with Pytorch plus A3G design

🔗 Famiglie affini

mujoco 31 a2c 18 actor-critic 20 gym 39 ppo 39 world-models 33 advantage-actor-critic 6 proximal-policy-optimization 12

Misurato dai temi di GitHub condivisi da entrambi i progetti, ponderato in base a quanto è raro ciascun tema.