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v2.6.1
- Update carball to support latest replay format changes
- Update convert.py to use new flip reset packet data
- Change ReplayMutator to use .npy files instead of .dat, and produce new replay frames.
- Add scripts to make, visualize, and validate replay frame files.
v2.5.0
- VelocityPlayerToBallReward is now normalized to give 1 reward per second at max speed instead of 1 per step.
- Refactor BallTravelReward:
- All weights now default to 0.
- Last_touch_agent is now a list called last_touch_agents.
- Rewards are averaged between agents touching last step and agents touching this step.
- Split VelocityPlayerToBallReward into different reward functions in…
…stead of using parameters:
VelocityPlayerToBallReward, DotQuotientVPBReward, TrajectoryComparisonVPBReward
- Redo parameters in BallTravelReward to make them clearer