Exact public version
spinning-up-deep-rl v1
Knowledge base from "Spinning Up in Deep RL" by Joshua Achiam (OpenAI, MIT-licensed). Use when applying Achiam's frameworks for RL fundamentals and MDPs, the model-free algorithm taxonomy, policy gradient derivations, the six reference algorithms (VPG, TRPO, PPO, DDPG, TD3, SAC), debugging silently-failing RL code, or running rigorous multi-seed RL experiments.
0bf5ba32b0e5fefda3ae8a95c1110883091fa8a205c8bde572878aa82d160712Package contents
Manifest
Knowledge base from "Spinning Up in Deep RL" by Joshua Achiam (OpenAI, MIT-licensed). Use when applying Achiam's frameworks for RL fundamentals and MDPs, the model-free algorithm taxonomy, policy gradient derivations, the six reference algorithms (VPG, TRPO, PPO, DDPG, TD3, SAC), debugging silently-failing RL code, or running rigorous multi-seed RL experiments.
86022bcf0af0c3a56ba0df9fb519a9f4bb782b828cad77be4e51e3664e243d57- SKILL.md11,192 bytes
- chapters/ch01-introduction.md6,145 bytes
- chapters/ch02-installation.md3,875 bytes
- chapters/ch03-algorithm-lineup.md5,795 bytes
- chapters/ch04-running-experiments.md6,184 bytes
- chapters/ch05-experiment-outputs.md4,588 bytes
- chapters/ch06-plotting-results.md3,928 bytes
- chapters/ch07-key-concepts-in-rl.md8,029 bytes
- chapters/ch08-kinds-of-rl-algorithms.md8,219 bytes
- chapters/ch09-intro-to-policy-optimization.md8,712 bytes
- chapters/ch10-spinning-up-as-a-researcher.md10,392 bytes
- chapters/ch11-key-papers-in-deep-rl.md4,608 bytes
- chapters/ch12-exercises.md5,528 bytes
- chapters/ch13-benchmarks.md4,986 bytes
- chapters/ch14-vpg.md4,968 bytes
- chapters/ch15-trpo.md6,053 bytes
- chapters/ch16-ppo.md7,002 bytes
- chapters/ch17-ddpg.md7,541 bytes
- chapters/ch18-td3.md6,037 bytes
- chapters/ch19-sac.md7,852 bytes
- chapters/ch20-logger-and-utilities.md4,807 bytes
- cheatsheet.md5,010 bytes
- glossary.md5,446 bytes
- patterns.md7,927 bytes