Unity
88 papers with code • 0 benchmarks • 0 datasets
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Use these libraries to find Unity models and implementationsMost implemented papers
Unity: A General Platform for Intelligent Agents
Unity-Technologies/ml-agents
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Recent advances in artificial intelligence have been driven by the presence of increasingly realistic and complex simulated environments.
The Tsetlin Machine - A Game Theoretic Bandit Driven Approach to Optimal Pattern Recognition with Propositional Logic
Our theoretical analysis establishes that the Nash equilibria of the game align with the propositional formulas that provide optimal pattern recognition accuracy.
A Regression Tsetlin Machine with Integer Weighted Clauses for Compact Pattern Representation
Although the RTM has solved non-linear regression problems with competitive accuracy, the resolution of the output is proportional to the number of clauses employed.
Unity by Diversity: Improved Representation Learning in Multimodal VAEs
Such architectures impose hard constraints on the model.
Reinforcement Learning from Hierarchical Critics
czh513/Hierarchical-Critics-Assignment-for-Multi-agent-Reinforcement-Learning
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Within the actor-critic RL, we introduce multiple cooperative critics from two levels of the hierarchy and propose a reinforcement learning from hierarchical critics (RLHC) algorithm.
3D Dynamic Scene Graphs: Actionable Spatial Perception with Places, Objects, and Humans
MIT-SPARK/Kimera
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Our second contribution is to provide the first fully automatic Spatial PerceptIon eNgine(SPIN) to build a DSG from visual-inertial data.
Flightmare: A Flexible Quadrotor Simulator
State-of-the-art quadrotor simulators have a rigid and highly-specialized structure: either are they really fast, physically accurate, or photo-realistic.
Arena: A General Evaluation Platform and Building Toolkit for Multi-Agent Intelligence
YuhangSong/Arena-Baselines
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That is, there is not yet a general evaluation platform for research on multi-agent intelligence.
Self-Supervised Exploration via Disagreement
pathak22/exploration-by-disagreement
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In this paper, we propose a formulation for exploration inspired by the work in active learning literature.
Simulating Content Consistent Vehicle Datasets with Attribute Descent
yorkeyao/VehicleX
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ECCV 2020
Between synthetic and real data, there is a two-level domain gap, i. e., content level and appearance level.
