arXiv Artificial Intelligence👾 · @arxiv_ai
360 followers · 2740 posts · Server creative.ai

📝 Pure Monte Carlo Counterfactual Regret Minimization 👾🧠

"Pure CFR combines the counterfactual regret minimization method and fictitious play to update strategy, inheriting the concept of counterfactual regret from the former and using the best response strategy instead of the regret matching strategy for the next iteration." [gal30b+] 🤖

🔗 arxiv.org/abs/2309.03084v1

#ai #gt #lg #arxiv

Last updated 1 year ago

rmcv42 · @rmcv42
9 followers · 420 posts · Server cyberplace.social

👍🏼

#gt

Last updated 1 year ago

arXiv Robotics🦾 · @arxiv_ro
66 followers · 1277 posts · Server creative.ai

📝 LTLf Best-Effort Synthesis in Nondeterministic Planning Domains 👾🦾

"Proposes a two-phase approach for synthesizing best-effort LTLf agent strategies for FOND domains that leverages a combination of (1) off-the-shelf deterministic planning, (2) deterministic goal reachability synthesis, and (3) game-based synthesis." [gal30b+] 🤖

🔗 arxiv.org/abs/2308.15188v1

#ai #fl #gt #ro #arxiv

Last updated 1 year ago

arXiv Robotics🦾 · @arxiv_ro
65 followers · 1276 posts · Server creative.ai

📝 Symbolic LTLf Best-Effort Synthesis 👾🦾

"Builds on the approach of Chatterjee, Jha, and Piterman [1] that reduces LTLf synthesis to a sequence of Boolean satisfiability (SAT) problems." [gal30b+] 🤖

⚙️ github.com/whitemech/lydia
🔗 arxiv.org/abs/2308.15178v1

#ai #fl #gt #lo #ro #arxiv

Last updated 1 year ago

worldchangas · @worldchangas
3 followers · 328 posts · Server mast.lat
Games Japan · @games
5 followers · 269 posts · Server wakoka.com
arXiv Comp. Linguistics📚 · @arxiv_cl
210 followers · 3801 posts · Server creative.ai

📝 Are ChatGPT and GPT-4 Good Poker Players? -- A Pre-Flop Analysis 📚👾

"Learns to play the game through self-play and it learns to play optimally through reinforcement learning by playing against itself and improving over time using self-play reinforcement learning." [gal30b+] 🤖

🔗 arxiv.org/abs/2308.12466v1

#cl #ai #gt #arxiv

Last updated 1 year ago

arXiv Graphics🖼️ · @arxiv_gr
64 followers · 1288 posts · Server creative.ai

📝 Approaching Human 3D Shape Perception with Neurally Mappable Models 🔭

"3D Light Field Network (3D-LFN), a novel 3D shape representation that captures multi-view information, supports 3D matching judgments well aligned to humans, even when compared across categories." [gal30b+] 🤖

🔗 arxiv.org/abs/2308.11300v1

#cv #gt #arxiv

Last updated 1 year ago

arXiv Robotics🦾 · @arxiv_ro
62 followers · 1231 posts · Server creative.ai

📝 Decentralized Multi-Robot Social Navigation in Constrained Environments via Game-Theoretic Control Barrier Functions 🦾🐜

"A novel mixed-Nash-CBF that resolves deadlocks for multiple robots and can be integrated with CBFs to ensure safety while maintaining liveness (deadlock-free navigation)." [gal30b+] 🤖

⚙️ github.com/ut-amrl/social
🔗 arxiv.org/abs/2308.10966v1

#ro #gt #ma #sy #arxiv

Last updated 1 year ago

worldchangas · @worldchangas
3 followers · 305 posts · Server mast.lat
Die Letzte Website · @DieLetzteWebsite
6 followers · 28 posts · Server mastodon.green

Sonys Kino-Adaption von "The Real Driving Simulator" wurde zwar tatsächlich sehr echt mit realen Autos auf Rennstrecken gedreht, nur kommt das im Film wegen des wirren Schnitts & fehlender Renndramaturgie kaum rüber. ist so nicht mehr als ein viel zu langer, gar nicht mal spektakulär inszenierter, ziemlich öder Dauerwerbefilm.

dieletzte.website/filmkritik/2

#granturismo #filmkritik #Kritik #review #gt #playstation #polyphonydigital #autos #kino #dieletztefilmkritik #podcast #podcasts

Last updated 1 year ago

worldchangas · @worldchangas
3 followers · 279 posts · Server mast.lat
arXiv Multi-Agent Systems🐜 · @arxiv_ma
14 followers · 164 posts · Server creative.ai

📝 Robust Multi-Agent Reinforcement Learning with State Uncertainty 🧠👾🐜

"Models the problem as a Markov Game with state perturbation adversaries (MG-SPA) by introducing a set of state perturbation adversaries into a Markov Game." [gal30b+] 🤖

⚙️ github.com/sihongho/robust_mar
🔗 arxiv.org/abs/2307.16212v1

#lg #ai #gt #ma #sy #arxiv

Last updated 1 year ago

arXiv Machine Learning🧠 · @arxiv_lg
178 followers · 2552 posts · Server creative.ai

📝 A Strategic Framework for Optimal Decisions in Football 1-vs-1 Shot-Taking Situations: An Integrated Approach of Machine Learning, Theory-Based Modeling, and Game Theory 🧠

"Works by modeling the shot as a sequential decision problem, where the attacker takes actions (shoot or pass) at each step, and the defender chooses an optimal response at each step." [gal30b+] 🤖

🔗 arxiv.org/abs/2307.14732v1

#lg #gt #arxiv

Last updated 1 year ago

worldchangas · @worldchangas
3 followers · 253 posts · Server mast.lat
Agneta H :verified: · @FruH
179 followers · 640 posts · Server mastodonsweden.se

Vill härmed informera om att vi har bytt ginsort från 🇬🇧 till 🇮🇹
Mycket godare GT och Martini 🍸 här hemma numera!

#alcohol #martini #gt #gin

Last updated 1 year ago

Anime of Japan · @anime
4 followers · 202 posts · Server wakoka.com
arXiv Multi-Agent Systems🐜 · @arxiv_ma
8 followers · 152 posts · Server creative.ai

📝 Layered Controller Synthesis for Dynamic Multi-Agent Systems 👾🐜

"The SWA-SMT solver computes a set of feasible solutions to the problem, which are then used to generate training data for the NN policy which will then be used at test time." [gal30b+] 🤖

⚙️ github.com/perrin-isir/xpag
🔗 arxiv.org/abs/2307.06758v1

#ai #gt #ma #arxiv

Last updated 1 year ago

arXiv Computer Vision🔭 · @arxiv_cv
111 followers · 3258 posts · Server creative.ai

📝 GNEP Based Dynamic Segmentation and Motion Estimation for Neuromorphic Imaging 🔭

"We propose is based on a Generalized Nash Equilibrium (GNE) formulation that leverages both spatial and temporal information in an event stream to carry out image segmentation and motion estimation." [gal30b+] 🤖

🔗 arxiv.org/abs/2307.02595v1

#cv #gt #arxiv

Last updated 1 year ago

arXiv Machine Learning🧠 · @arxiv_lg
141 followers · 2300 posts · Server creative.ai

📝 U-Calibration: Forecasting for an Unknown Agent 🧠

"The U calibration error of a sequence of forecasts is the maximal regret when evaluated under any bounded proper scoring rule, where regret is measured relative to the best fixed predictor that is allowed to know only the marginal distribution of the data generating process." [gal30b+] 🤖

🔗 arxiv.org/abs/2307.00168v1

#lg #gt #arxiv

Last updated 1 year ago