Results shown are averages over 16 seeds along with the standard deviation for each morphology as well as the aggregation of the 48 seeds in the Overall column.

We highlight the best results in bold.

Algorithm	BipedalWalker	Fish	Climber	Overall
Random	27.25 (± 10.7)	23.6 (± 21.3)	0.0 (± 0.0)	16.9 (± 18.3)
ADR	14.7 (± 19.4)	5.3 (± 20.6)	0.0 (± 0.0)	6.7 (± 17.4)
ALP-GMM	42.7 (± 11.2)	36.1 (± 28.5)	0.4 (± 1.2)	26.4 (± 25.7)
Covar-GMM	35.7 (± 15.9)	29.9 (± 27.9)	0.5 (± 1.9)	22.1 (± 24.2)
GoalGAN	25.4 (± 24.7)	34.7 ± 37.0)	0.8 (± 2.7)	20.3 (± 29.5)
RIAC	31.2 (± 8.2)	37.4 (± 25.4)	0.4 (± 1.4)	23.0 (± 22.4)
SPDL	30.6 (± 22.8)	9.0 (± 24.2)	1.0 (± 3.4)	13.5 (± 23.0)
Setter-Solver	28.75 (± 20.7)	5.1 (± 7.6)	0.0 (± 0.0)	11.3 (± 17.9)

Hyperparameters

python

{'student': 'SAC'
'environment': 'parkour'
'training_steps': 20000000
'n_evaluation_tasks': 100
'teacher': 'Random'
'morphology': 'old_classic_bipedal'}

flowers-team/TA_Random_SAC_bipedal_s5

Deep RL Agent Playing TeachMyAgent's parkour.

Results

Hyperparameters

flowers-team/
TA_Random_SAC_bipedal_s5