Deep Rl — Development skill for Claude Code
Deep reinforcement learning - DQN/Rainbow/R2D2/Agent57/BBF, PPO/TRPO/GRPO, SAC/TD3/REDQ/DroQ/CrossQ, DreamerV3/TD-MPC2/MuZero, CQL/IQL/TD3+BC/AWAC/Decision Transformer, MAPPO/IPPO multi-agent, Go-Expl.
How to install Deep Rl
Installs to ~/.claude/commands/tachyon-beep-skillpacks-deep-rl.md
mkdir -p ~/.claude/commands && curl -fsSL https://raw.githubusercontent.com/tachyon-beep/skillpacks/HEAD/.claude/commands/deep-rl.md -o ~/.claude/commands/tachyon-beep-skillpacks-deep-rl.md Restart Claude Code, or start a new session, for it to be picked up.
What Deep Rl does
description: Deep reinforcement learning - DQN/Rainbow/R2D2/Agent57/BBF, PPO/TRPO/GRPO, SAC/TD3/REDQ/DroQ/CrossQ, DreamerV3/TD-MPC2/MuZero, CQL/IQL/TD3+BC/AWAC/Decision Transformer, MAPPO/IPPO multi-agent, Go-Explore/NGU/BYOL-Explore, reward shaping, counterfactual reasoning (HER/OPE), debugging, evaluation. Routes to 13 specialist sheets, 3 commands, 2 SME agents.
Deep RL Routing
**Problem type determines algorithm family. RL is not one algorithm - action space (discrete vs continuo
Alternatives in Development
- PaperSpine — PaperSpine is a motivation-driven skill for learning from strong academic papers, building a paper’s central a 5k ★
- Claudeception — A Claude Code skill for autonomous skill extraction and continuous learning 2.2k ★
- Cq — An open standard for shared agent learning 1.3k ★
Full documentation available on GitHub
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