What should I read, watch and listen to about reinforcement learning?

Brendon.BOT has featured 5 items on reinforcement learning across 2 formats — 4 papers, 1 podcast episode. The strongest is "RL's a Hell of a Drug: Metagaming, Reward Seeking & Motivated CoT Reasoning – Bronson Schoen, Apollo" by Cognitive Revolution, scored 9.4.

• RL's a Hell of a Drug: Metagaming, Reward Seeking & Motivated CoT Reasoning – Bronson Schoen, Apollo — Cognitive Revolution (podcast episode, scored 9.4)
• X-Tree: Tokenizing Reusable Experience for Efficient Agent Generalization — Sitao Cheng et al. (paper, scored 9.1)
• IterSynth: Rethinking Deep Search Agents via Role-Decoupled Iterative Synthesis — Xingyu Wu et al. (paper, scored 9.1)
• Prospective Hindsight: Self-Calibrating Reinforcement Learning via Prediction-Reality Gaps — Jiaxin Zhang et al. (paper, scored 8.9)
• AV-GRPO: Modality-Anchored Decoupling Diffusion Reinforcement Learning for Joint Audio-Video Generation — Zhiyu Xu et al. (paper, scored 8.3)

Measured from this site's own curation data, as of 2026-10-15. Every figure above is read from what the pipeline recorded — see how it works.