File size: 1,617 Bytes
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name: rlupus
source: https://github.com/brendon-boldt/rl_werewolf
upstream_source: https://github.com/nicofirst1/rl_werewolf
paper: https://arxiv.org/abs/2106.05018
system:
game_type: conversation
game_subtype: social_deduction
observation_type: vector
observation_continuous: false
multi_step: true
data_source: null
seeding_available: false
symmetric_agents: true
more_than_2_agents: true
multi_utterance: true
variants:
9-player.run-0:
message_length: 9
vocab_size: 9
note: reached 0.88 WR (win rate) in 38 hours (no automatic stopping)
9-player.run-1:
message_length: 9
vocab_size: 9
note: reached 0.44 WR, stopped at 48 hours
9-player.run-2:
message_length: 9
vocab_size: 9
note: reached 0.44 WR, stopped at 48 hours
9-player.run-3:
message_length: 9
vocab_size: 9
note: reached 0.44 WR, stopped at 37 hours
21-player.run-0:
message_length: 21
vocab_size: 21
note: reached 0.88 WR in 34 hours (no automatic stopping)
21-player.run-1:
message_length: 21
vocab_size: 21
note: reached 0.55 WR, stopped at 48 hours
21-player.run-2:
message_length: 21
vocab_size: 21
note: reached 0.85 WR in 28 hours
notes: >
This environment is somewhat unstable and does not provide random seeding, so
reproducing exact results is tricky. Nevertheless, environment converge about
half of the time (i.e., reach 85% villager win rate before 48 hours of
training).
9 player (~11M steps per hour).
21 player (~4M steps per hour).
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