SOTAVerified

Motion Planning

( Image credit: Motion Planning Among Dynamic, Decision-Making Agents with Deep Reinforcement Learning )

Papers

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Showing 711–720 of 920 papers

TitleStatusHype
Synthesis of Discounted-Reward Optimal Policies for Markov Decision Processes Under Linear Temporal Logic Specifications—0
Learning to Plan Optimally with Flow-based Motion Planner—0
Evidential Sparsification of Multimodal Latent Spaces in Conditional Variational AutoencodersCode0
Planning with Learned Dynamics: Probabilistic Guarantees on Safety and Reachability via Lipschitz Constants—0
Constrained Motion Planning Networks X—0
Multi-Agent Motion Planning using Deep Learning for Space Applications—0
Reinforcement Learning Based Temporal Logic Control with Maximum Probabilistic SatisfactionCode0
Broadly-Exploring, Local-Policy Trees for Long-Horizon Task Planning—0
Projection Mapping Implementation: Enabling Direct Externalization of Perception Results and Action Intent to Improve Robot ExplainabilityCode0
MADRaS : Multi Agent Driving Simulator—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GPT-DriverCollision0.35—Unverified