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Acceptance criteria
- [ ] rl_lab/config/env/*.yaml presets vary target distribution / tolerance / max_steps
- [ ] Loadable by the train CLI
- [ ] Documented in the experiments docs
References: ...
rl-env
Goal
Make active recall a consumer of the source-shape runtime spine: query text should decide what to search for, while
source-shape diagnostics decide where to look first, what to reopen first, and ...
testinng
Connect the env to the M2 bridge so render_mode= foxglove streams live, throttled and toggleable per episode.
Acceptance criteria
- [ ] render_mode supports human, foxglove, rgb_array
- [ ] In foxglove ...
rl-env
viz
The Google Calendar event details field is currently capped at MAX_DETAILS_LENGTH = 1500 (background.js), which is too
short and loses useful description text. The cap is also a hard .slice(), so it can ...
Scene: Bonetown Position: (238.27996826171875, 7.567685127258301)
Message: sceneName: Bonetown x: 238,28 y: 7,567685 message: If us seat here ur gay
Meta
- GameVersion: undefined
- Platform: 76561198887178181 ...
feedback
Acceptance criteria
- [ ] Registers BuddyJrReach-v0, BuddyJrReachDiscrete-v0, BuddyJrCameraPoint-v0
- [ ] Registration runs on import rl_lab
- [ ] gymnasium.make( id ) works for each
References: ...
rl-env
Rationale
The ready backlog fell below the unattended threshold while the local proxy already has the pieces needed for a
higher-value next loop: activation-aware opportunity reporting, OpenAI routing ...
backlog
core-feature
correctness
milestone
priority:p1
privacy
status:ready
General-purpose wrappers, including the domain-randomisation wrapper used by the generalisation and sim-to-real lessons.
Acceptance criteria
- [ ] Observation normalisation, action repeat, time limit ...
rl-env
One core continuous env with thin wrappers so the SAME task can be run with tabular Q-learning, DQN, PPO and SAC and
compared honestly.
Acceptance criteria
- [ ] DiscretizeBuddyJr wrapper → Discrete(9) ...
rl-env

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