Brandon
@PineappleML
Followers
193
Following
125
Media
0
Statuses
35
Joined May 2012
RT @Karolis_Ram: I’ve had early access to the new @OpenAI @Minecraft model for some time and had a blast playing around with it. The agent….
0
70
0
RT @aicrowdHQ: We couldn't be more excited to bring the BASALT Challenge to the AIcrowd community, and now we have one more reason with Ope….
0
2
0
Blazing-fast image creation – using just your voice. Try Grok Imagine.
300
602
4K
RT @minerl_official: 🚨🚨 @OpenAI just dropped agents that can reliably obtain diamonds! And guess what? You can fine tune their pretrained m….
aicrowd.com
Learning From Human-Feedback
0
10
0
RT @sama: Learning to perform a complicated task by watching a lot of video (and using a small amount of labeled data): .
openai.com
We trained a neural network to play Minecraft by Video PreTraining (VPT) on a massive unlabeled video dataset of human Minecraft play, while using only a small amount of labeled contractor data. With...
0
49
0
RT @minerl_official: 🥳🪅 The MineRL BASALT competition was accepted to the @NeurIPSConf Competition Track! 🪅🥳 But don't worry: you can still….
0
7
0
RT @ykilcher: 🔥New Video🔥This Team won the MineRL BASALT Challenge. Even if you don't like Minecraft, consider this: No reward function, ju….
0
15
0
RT @minerl_official: Attend the workshop on August 5 if you’re interested in either of the two @NeurIPSConf competitions! .
0
2
0
RT @minerl_official: We are excited to announce that the 2021 @NeurIPSConf MineRL BASALT Competition on Learning from Human Feedback has of….
0
41
0
The Intro track is on fire! This morning a competitors agent created an iron_pickaxe - the final per-requisite for mining a diamond. How long before agents manage to mine diamond_ore?? Check it out
aicrowd.com
Training sample-efficient agents in Minecraft
0
1
10
Excited to see the first competitor get an iron_ingot in the 2021 MineRL Diamond Competition's introductory track! This means their agent was only 2 items away from a diamond! @minerl_official.
aicrowd.com
Training sample-efficient agents in Minecraft
0
1
5
The MineRL 2020 poster session is happening now at password: diamond. See you there!.
1
0
4
RT @minerl_official: There’s still time to participate! We are extending Round 1 of the MineRL competition to align with NeurIPS (early Dec….
0
5
0
Four state of the art baselines developed by @PreferredNet just released for the #MineRL2020Competition! Check them out on github:
github.com
A collection of baselines for the MineRL environment/datasets & the NeurIPS 2021 MineRL competitions - minerllabs/baselines
0
9
26
RT @PreferredNet: The Reinforcement Learning baselines from PFRL are now available for the 2020 #NeurIPS #MineRL competition! .Can you impr….
aicrowd.com
Sample-efficient reinforcement learning in Minecraft
0
19
0
RT @minerl_official: We are pleased to announce that the 2020 @NeurIPSConf MineRL Competition has officially launched! This is an exciting….
0
84
0
RT @OpenAI: We're co-organizing two NeurIPS 2020 competitions using Procgen Benchmark and MineRL. We rely heavily on these environments int….
openai.com
We’re excited to announce that OpenAI is co-organizing two NeurIPS 2020 competitions with AIcrowd, Carnegie Mellon University, and DeepMind, using Procgen Benchmark and MineRL.
0
120
0
RT @MSFTResearch: Team CDS wins the MineRL Challenge 2019! Congrats to Team mc_rl & Team I4DS for their ranking AI agents. Thank you to al….
0
20
0
RT @katjahofmann: Together with a fantastic team, led by @wgussml, we’re organising the MineRL competition at #NeurIPS2019. I’ve been hugel….
0
8
0
RT @rsalakhu: Very exciting to see that the #MineRL project started by my PhD student @wgussml and research scientist @PineappleML at CMU @….
nature.com
Nature - The MineRL competition encourages coders to devise programs that learn by example.
0
7
0