Reinforcement Learning on Atari 57 Standard (test)

279,703.5AlienLBC-BM

Updated 8mo ago

Evaluation results

Method
LBC-BM2023.05	279,703.5	—	—	10,077.52	1,665.6	12,996.3	62,025.7	999,999	1,106,603.5	3,824,506.3	1,410	857,369	457,321	35,340	233.1	100	864	728,080	999,999	233,090	995,950	900,170	24	14,332.5	75	34	13,792.4	488,900	6,372.5	37,545.6	47.53	623,300.5	14,372.6	593,679.5	1,666,665	2,500	31,403	81,473	999,999	-1	21	15,100	151,730	27,964.3	999,999	144	1,000,000	-5,903.34	10,732.5	159,999.6	999,999	2.726	24	531,614	436.2	999,999	2,200	999,999	118,900	998,970	241,570.6
GDI-H³2023.05	48,735	—	—	4,989.31	1,451.55	1,065	97,155	999,999	760,005	3,837,300	1,380	824,360	422,390	14,649	205.2	100	864	195,630	999,999	241,170	970,540	787,985	24	14,300	65	34	11,330	473,560	5,915	38,225	47.11	620,780	14,636	594,540	1,666,665	2,500	11,573	36,296	959,580	-4.3	21	15,100	28,657	28,349	999,999	113.4	1,000,000	-6,025	9,105	154,380	677,590	2.606	24	450,810	418.2	966,590	2,000	978,190	63,735	968,090	216,020
Go-Explore2023.05	13,899.77	—	—	4,989.31	1,451.55	1,113.22	5,879.64	12,049.37	240.48	1,691.24	494.49	2,702.36	2,242.15	5,237.69	162.72	757.5	2,681.6	6,162.78	15,135.16	863.07	—	13,180.65	1,936.36	119.81	315.12	114.86	23,420.19	6,217.75	415.68	123.34	365.29	73,331.26	812.87	5,765.9	107.05	520.86	6,860.25	3,657.16	284.5	121.09	118.13	100.58	7,522.41	217.05	12,764.26	1,451.55	1,284.68	101.19	171.95	6,115.54	6,352.14	—	308.39	10,838.67	330.73	4,956.94	258.86	5,659.98	4,754.03	1,936.34	200.28
LBC2023.05	4,050.37	—	—	10,077.52	1,665.6	758.04	11,894.4	12,055.38	2,369.6	23,560.59	188.9	2,319.62	2,758.97	1,404.89	152.62	832.5	2,994.1	7,313.94	15,192.62	853.43	6,279.56	49,481.44	1,936.36	1,665.6	300	114.86	321.52	22,675.87	195.05	122.55	485.37	227,637.51	480.07	55,464.31	7,413.57	52.6	468.01	1,375.45	15,417.71	3.41	118.13	21.68	1,140.36	168.74	12,765.53	1,461.86	2,381.57	87.72	85.63	10,511.71	10,424.94	77.13	308.39	31,787.02	271.96	8,955.95	185.26	5,659.98	2,822.24	1,934.34	2,642.42