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Brain and Machine Intelligence Lab. @UCKJzR-JTgmisNvOl9UPLGUA@youtube.com

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Brain and Machine Intelligence Lab. (BMIL)


09:56
Reducing Societal Cost with Autonomous Vehicles: Multi-Agent RL with Adaptive Reward
01:37
Deep Reinforcement Learning Based Autonomous Strategy for Jerk Minimization
01:53
Enhancing Traffic Flow in On-ramp Merging Through Autonomous Vehicles Based on Deep RL
08:19
Jerk-minimized Autonomous Driving Strategy with Deep Reinforcement Learning
06:15
AD4RL: Autonomous Driving Benchmarks for Offline Reinforcement Learning with Value-based Dataset
05:32
AD4RL: Autonomous Driving Benchmarks for Offline Reinforcement Learning with Value-based Dataset
08:51
DDPG ๊ธฐ๋ฐ˜ ์ž์œจ์ฃผํ–‰์ฐจ๋Ÿ‰์„ ํ†ตํ•œ ํ•ฉ๋ฅ˜๊ตฌ๊ฐ„ ๊ตํ†ตํ๋ฆ„ ๊ฐœ์„  ์—ฐ๊ตฌ
08:34
์ตœ์†Œ ๊ฐ€๊ฐ€์†๋„ ์ž์œจ์ฃผํ–‰ ์ •์ฑ…์„ ์œ„ํ•œ ๊ฐ•ํ™”ํ•™์Šต ์—ฐ๊ตฌ
11:19
์ธ๊ณต์ง€๋Šฅ๊ธฐ๋ฐ˜ ์ด์ƒํƒ์ง€ ๋ฐ ์˜ˆ์ง€๋ณด์ „ ๊ธฐ์ˆ 
09:34
๊ณ„์ธต์  ์˜คํ† ์ธ์ฝ”๋”์˜ ๋‹จ๊ณ„๋ณ„ ์ด์ƒ์œ ํ˜• ๋ถ„๋ฅ˜๋ฅผ ์œ„ํ•œ ํŒŒ์ธํŠœ๋‹ ๋ฐฉ์•ˆ ์—ฐ๊ตฌ
12:01
์‹ฌ์ธต ๊ฐ•ํ™”ํ•™์Šต ๊ธฐ๋ฐ˜ ์ž์œจ์ฃผํ–‰์ฐจ๋Ÿ‰์˜ ๋ณ‘ํ•ฉ์ง€์  ํ•ฉ๋ฅ˜ ์ •์ฑ… ์—ฐ๊ตฌ
11:33
๋‹ค์ค‘ ๋ฌด์ธํ•ญ๊ณต๊ธฐ์˜ ์˜คํ”„๋ผ์ธ ๊ฐ•ํ™”ํ•™์Šต์„ ํ†ตํ•œ ๋ฌด์„  ์• ๋“œํ˜น ๋„คํŠธ์›Œํฌ ๊ตฌ์ถ• ์—ฐ๊ตฌ
09:31
Foresighted Decisions for Inter-vehicle Interactions: An Offline Reinforcement Learning Approach
17:22
Social Decision-making in Mixed-autonomous Traffic
01:28:55
Offline Reinforcement Learning for Future Networks
42:13
Stability Analysis in Mixed-autonomous Traffic with Deep Reinforcement Learning
09:57
๋ฌด์ธํ•ญ๊ณต๊ธฐ๊ธฐ๋ฐ˜ ์žฌ๋‚œ ๋ง์—์„œ ์˜คํ”„๋ผ์ธ ๊ฐ•ํ™”ํ•™์Šต ๋ฐ์ดํ„ฐ์…‹์— ๋”ฐ๋ฅธ ๋„คํŠธ์›Œํฌ ๋ณต๊ตฌ ์„ฑ๋Šฅ ์—ฐ๊ตฌ
10:40
๋ชจ๋ธ ํฌ์ด์ฆˆ๋‹ ๊ณต๊ฒฉ์— ๊ฐ•๊ฑดํ•œ ๋ถ€๋ถ„๊ณต์œ  ์—ฐํ•ฉํ•™์Šต
07:43
์•ˆ์ •์  ์ฃผํ–‰ ๋ฐ ๊ณ ๋„ํ™”๋œ ์„ฑ๋Šฅ์„ ๊ฐ€์ง„ ์ž์œจ์ฃผํ–‰ ์‹œ์Šคํ…œ
10:08
๊ฐœ์ธํ™” ์—ฐํ•ฉํ•™์Šต์„ ์œ„ํ•œ ๋ถ€๋ถ„๊ณต์œ  ์•Œ๊ณ ๋ฆฌ์ฆ˜์˜ ์„ฑ๋Šฅ๋น„๊ต
12:01
์œ„๊ธฐ์ƒํ™ฉ ๋„คํŠธ์›Œํฌ ๋ณต์›์„ ์œ„ํ•œ ์˜คํ”„๋ผ์ธ ๊ฐ•ํ™”ํ•™์Šต ๊ธฐ๋ฐ˜ ๋ฌด์ธํ•ญ๊ณต๊ธฐ ํ•™์Šต ์—ฐ๊ตฌ
08:02
๊ฐœ์ธํ™” ์—ฐํ•ฉ ํ•™์Šต์„ ์œ„ํ•œ ๋ถ€๋ถ„ ๊ณต์œ  ๋ฐฉ์•ˆ์— ๋”ฐ๋ฅธ ์„ฑ๋Šฅ ๋น„๊ต์— ๊ด€ํ•œ ์—ฐ๊ตฌ
06:52
TD3 ๊ธฐ๋ฐ˜ ์šฐ์„ ์  ๊ฒฝํ—˜ ์žฌ์ƒ ๋ฐฉ์‹์„ ํ†ตํ•œ ๋ณ‘๋ชฉ ๊ตฌ๊ฐ„ ํ†ต๊ณผ ์ž์œจ์ฃผํ–‰ ์ •์ฑ… ์—ฐ๊ตฌ
10:00
Maximum Likelihood Estimation ๊ธฐ๋ฐ˜ ์ฃผํ–‰ ํŠน์„ฑ ์ถ”๋ก  ์—ฐ๊ตฌ
45:28
Hierarchical Autoencoder Based Intelligent Network Intrusion Detection System for 6G Networks
09:44
TD3 ๊ธฐ๋ฐ˜ ์ž์œจ์ฃผํ–‰์ฐจ๋Ÿ‰์˜ ๋ณ‘๋ชฉ์ง€์  ํ†ต๊ณผ ์ •์ฑ… ์—ฐ๊ตฌ
08:23
์ค‘์š” ํŠน์„ฑ ๊ธฐ๋ฐ˜ ์ €๋ณต์žก ๋„คํŠธ์›Œํฌ ์ด์ƒํƒ์ง€ ๋ฐฉ๋ฒ• ์—ฐ๊ตฌ
14:00
์ธ๊ณต ์‹ ๊ฒฝ๋ง ๋ชจ๋ธ์— ๋”ฐ๋ฅธ ๋„คํŠธ์›Œํฌ ์นจ์ž… ํƒ์ง€ ์„ฑ๋Šฅ ๋น„๊ต ์—ฐ๊ตฌ
12:38
DDQN๊ธฐ๋ฐ˜ ๋ฌด์ธ ํ•ญ๊ณต๊ธฐ ๊ฐ„ ์ž๊ฐ€ ๋„คํŠธ์›Œํฌ ๊ตฌ์ถ• ์—ฐ๊ตฌ
11:50
์˜คํ† ์ธ์ฝ”๋” ์‹ ๊ฒฝ๋ง ๋ชจ๋ธ ์ข…๋ฅ˜์— ๋”ฐ๋ฅธ ์ค‘์š” ํŠน์„ฑ ๊ฐ’ ์—ฐ๊ตฌ
08:35
๋‹ค์ค‘ ๊ฐœ์ฒด ๊ฐ„ ๋„คํŠธ์›Œํฌ ๊ณต์œ ๋ฅผ ํ†ตํ•œ ์‹ฌ์ธต๊ฐ•ํ™”ํ•™์Šต์˜ ํ•™์Šต ํšจ์œจ์„ฑ ํ–ฅ์ƒ ์—ฐ๊ตฌ
09:59
์˜คํ† ์ธ์ฝ”๋” ๊ธฐ๋ฐ˜ ๋„คํŠธ์›Œํฌ ์นจ์ž…ํƒ์ง€ ์‹œ์Šคํ…œ์—์„œ ๊ณ„์ธต์  ํƒ์ง€ ์—ญํ•  ๋ถ„๋‹ด์— ๋Œ€ํ•œ ์—ฐ๊ตฌ
01:01:20
[Zoom] Modeling Minds: a reinforcement learning perspective
01:01:35
[YouTube] Modeling Minds: a reinforcement learning perspective
10:48
๋ชจ๋ฐ”์ผ ์• ๋“œํ˜น ๋„คํŠธ์›Œํฌ ๊ตฌ์ถ•์„ ์œ„ํ•œ Q-learning ๊ธฐ๋ฐ˜ ๋…ธ๋“œ ์œ„์น˜ ๊ฒฐ์ • ์ „๋žต ์—ฐ๊ตฌ
10:36
๊ฐ์—ผ๋ณ‘ ์ „ํŒŒ ๊ณผ์ •์„ ์œ„ํ•œ ๋งˆ๋ฅด์ฝ”ํ”„ ์ฒด์ธ ๊ธฐ๋ฐ˜ SEIVR ๋ชจ๋ธ ์—ฐ๊ตฌ
10:04
์—ฐํ•ฉํ•™์Šต ๊ธฐ๋ฐ˜ ์˜คํ† ์ธ์ฝ”๋” ๋ชจ๋ธ์„ ์ด์šฉํ•œ ๋„คํŠธ์›Œํฌ ์ด์ƒํƒ์ง€ ์‹œ์Šคํ…œ์— ๊ด€ํ•œ ์—ฐ๊ตฌ
08:35
์‹ฌ์ธต๊ฐ•ํ™”ํ•™์Šต ๊ธฐ๋ฐ˜ ์ž์œจ์ฃผํ–‰์ฐจ๋Ÿ‰์˜ ์ฐจ์„  ๋ณ€๊ฒฝ ์ •์ฑ… ์•ˆ์ •์„ฑ ํ‰๊ฐ€
10:25
RaPP ๊ธฐ๋ฐ˜ ๋„คํŠธ์›Œํฌ ์ด์ƒํƒ์ง€ ์‹œ์Šคํ…œ
09:44
PPO๊ธฐ๋ฐ˜ ์ž์œจ์ฃผํ–‰์ฐจ๋Ÿ‰์˜ ํšจ์œจ์ ์ด๊ณ  ์•ˆ์ „ํ•œ ์ฐจ์„  ๋ณ€๊ฒฝ ์ •์ฑ… ์—ฐ๊ตฌ
11:09
์ˆœ๊ฐ„ ์žฌ์ƒ์‚ฐ์ง€์ˆ˜์— ๊ธฐ๋ฐ˜ํ•œ COVID-19 ํ™•์ง„์ž ์ˆ˜ ๋ณ€ํ™” ์˜ˆ์ธก ์‹œ์Šคํ…œ ์—ฐ๊ตฌ
09:09
์ž์œจ์ฃผํ–‰ ์ฐจ๋Ÿ‰์˜ ์ œํ•œ์†๋„ ์ค€์ˆ˜๋ฅผ ์œ„ํ•œ ์‹ฌ์ธต๊ฐ•ํ™”ํ•™์Šต๊ธฐ๋ฐ˜ ์†๋„์ œ์–ด๋ฐฉ๋ฒ• ์—ฐ๊ตฌ
11:53
์ด๋™์„ฑ์„ ๊ฐ–๋Š” ๋…ธ๋“œ๋ฅผ ํฌํ•จํ•œ ๋ฉ€ํ‹ฐ์บ์ŠคํŠธ ๊ธฐ๋ฐ˜ ์• ๋“œํ˜น ๋„คํŠธ์›Œํฌ ๊ตฌ์„ฑ ์•Œ๊ณ ๋ฆฌ์ฆ˜์— ๊ด€ํ•œ ์—ฐ๊ตฌ
10:50
์‹ฌ์ธต ๊ฐ•ํ™”ํ•™์Šต ๊ธฐ๋ฐ˜ ์ž์œจ์ฃผํ–‰์ฐจ์˜ ์—๋„ˆ์ง€ ํšจ์œจ์ ์ธ ์ œ์–ด ๋ฐฉ๋ฒ• ์—ฐ๊ตฌ
11:51
๋žœ๋ค ์›Œํฌ ์ด๋™์„ฑ์„ ๊ฐ–๋Š” ๋ฌด์„  ๋…ธ๋“œ์˜ Q-learning ๊ธฐ๋ฐ˜ ๋„คํŠธ์›Œํฌ ๊ตฌ์ถ• ์ „๋žต
11:00
๋ชจ๋ธ ํŒŒ๋ผ๋ฏธํ„ฐ์˜ ํ‰๊ท ๊ฐ’์„ ์ด์šฉํ•œ ์—ฐํ•ฉ์ง€๋„ํ•™์Šต ๊ธฐ๋ฐ˜ ๋„คํŠธ์›Œํฌ์ด์ƒํƒ์ง€ ์‹œ์Šคํ…œ
11:39
๋Œ€ํ•œ๋ฏผ๊ตญ COVID-19ํ™•์‚ฐ๊ณผ์ •์—์„œ์˜ SI๋ชจ๋ธ ๊ธฐ๋ฐ˜ ์‚ฌํšŒ์  ๊ฑฐ๋ฆฌ๋‘๊ธฐ ์ •์ฑ… ํšจ๊ณผ ๋ถ„์„
09:16
์‹ฌ์ธต๊ฐ•ํ™”ํ•™์Šต๊ธฐ๋ฐ˜ ์ž์œจ์ฃผํ–‰์ฐจ๋ฅผ ์ด์šฉํ•œ ๋„๋กœ ํ๋ฆ„ ์ œ์–ด ์—ฐ๊ตฌ
09:02
์›ํ˜•๋„๋กœ์—์„œ ์ž์œจ ์ฃผํ–‰ ์ž๋™์ฐจ์˜ ์‹ฌ์ธต ๊ฐ•ํ™”ํ•™์Šต ๊ธฐ๋ฐ˜ ์†๋„์ œ์–ด ๊ธฐ์ˆ ์—ฐ๊ตฌ
08:47
์˜คํ† ์ธ์ฝ”๋” ๊ธฐ๋ฐ˜ ๋„คํŠธ์›Œํฌ ์นจ์ž… ํƒ์ง€ ์‹œ์Šคํ…œ
09:56
์ดˆ์ €์‚ฌ์–‘ IoT ๋””๋ฐ”์ด์Šค๋ฅผ ์œ„ํ•œ PCA๊ธฐ๋ฐ˜ ์ €๋ณต์žก๋„ ์ด์ƒํƒ์ง€ ๊ธฐ์ˆ