kzl/decision-transformer
Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling. observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 1918
- days_rel: n/a
- days_push: 857
- n_releases_24m: 0
Adoption not part of the score
2830 stars · 517 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
Official codebase for the Decision Transformer paper, which frames reinforcement learning as sequence modeling with transformers. It contains scripts to reproduce Atari and OpenAI Gym experiments from the paper.
Use cases
- reproduce Decision Transformer paper experiments
- train a transformer for offline reinforcement learning
- apply sequence modeling to Atari environments
- run RL experiments on OpenAI Gym tasks
- study transformers as an alternative to traditional RL algorithms
When to choose
- you want to reproduce or build on the Decision Transformer paper
- you need an offline RL baseline using sequence modeling
- you are researching transformer-based RL approaches
When to avoid
- you need a production-ready RL framework
- you want online RL or modern maintained tooling
- you need environments beyond Atari and Gym without adaptation
Facets
library · maturity maintenance
reinforcement-learning deep-learning machine-learning reinforcement-learning deep-learning machine-learning python transformer sequence-modeling research-code atari openai-gym paper-reproduction research linux macos
1 source
- readme: https://github.com/kzl/decision-transformer · fetched 2026-08-28 · ae33c97aa0a5
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| kzl/decision-transformer | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="kzl/decision-transformer")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem