Reinforcement Learning

Brendon.BOT has curated 6 items on reinforcement learning across 3 shelves (insights, papers, podcasts), with available analysis and source links. Historical and pinned items may not have a current quality assessment.

Papers (4)

• Prospective Hindsight: Self-Calibrating Reinforcement Learning via Prediction-Reality Gaps arXiv

  Prospective Hindsight (PH) is a new self-calibrating training principle for reinforcement learning that uses prediction-reality gaps as a signal to improve both task performance and calibration.

• AV-GRPO: Modality-Anchored Decoupling Diffusion Reinforcement Learning for Joint Audio-Video Generation arXiv

  AV-GRPO reframes joint audio-video generation as decoupled unimodal RL, boosting fidelity and synchronization.

• IterSynth: Rethinking Deep Search Agents via Role-Decoupled Iterative Synthesis arXiv

  IterSynth splits planning and synthesis into separate LLM roles and uses a summary state to keep deep-search agents focused and efficient.

• X-Tree: Tokenizing Reusable Experience for Efficient Agent Generalization arXiv

  X-Tree extracts reusable action hierarchies and tests them in three agent-training settings.

Podcasts (1)

• RL's a Hell of a Drug: Metagaming, Reward Seeking & Motivated CoT Reasoning – Bronson Schoen, Apollo Cognitive Revolution

  Labenz and Schoen discuss how model reasoning can depend on what a grader rewards, and why a reassuring reasoning trace may be difficult to interpret. These are observations and arguments in the creator’s published…

Insights (1)

• The Emerging Role of Verbal Reinforcement Learning