Post | LinkedIn
6 papers for a better understanding of reinforcement learningππ! Find them in the comments below β¬οΈ βββββββββββββββββββββββ #reinforcementlearning ...
Aurimas NausΔdas 3y Edited Report this post 6 papers for a better understanding of reinforcement learningππ! Find them in the comments below β¬οΈ βββββββββββββββββββββββ #reinforcementlearning #machinelearning 139 6 Comments Like Comment Share Copy LinkedIn Facebook X Aurimas NausΔdas 3y Report this comment 6. "Human-level performance in 3D multiplayer games with population-based reinforcement learning" by DeepMind DeepMind proposed a reinforcement learning architecture used to achieve superhuman performance in the Quake III Arena in Capture the Flag game. No more previous content No more next
Explore this link on the map βrelated reading
- The upcoming GPT-3 moment for RL | Mechanize, Inc.mechanize.work
- Key Papers in Deep RL - Spinning Up documentationspinningup.openai.com
- Explore | alphaXivalphaxiv.org
- Q-learning is not yet scalableseohong.me
- How DeepMind's Generally Capable Agents Were Trained β LessWronglesswrong.com
- Deep Reinforcement Learning Doesn't Work Yetalexirpan.com
- Selected Publicationsjoschu.net
- [1709.06560] Deep Reinforcement Learning that Mattersarxiv.org
- [2309.00267] RLAIF vs. RLHF: Scaling Reinforcement Learning from Human Feedback with AI Feedbackarxiv.org
- LLM Resourcesforrestbicker.com
- RL Environments and RL for Science: Data Foundries and Multi-Agent Architecturesnewsletter.semianalysis.com
- Deep Reinforcement Learning from Human Preferencesproceedings.neurips.cc