xiaoyang666

xiaoyang666's Stars

• MCZhi/Driving-IRL-NGSIM

  [T-ITS] Driving Behavior Modeling using Naturalistic Human Driving Data with Inverse Reinforcement Learning

  Language:Python2363940

• javyduck/ChatScene

  [CVPR2024] ChatScene: Knowledge-Enabled Safety-Critical Scenario Generation for Autonomous Vehicles https://arxiv.org/abs/2405.14062

  Language:Python1172357

• JohannesAck/MATD3implementation

  Code for the RL method MATD3 described in the paper "Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics"

  Language:Python792313

• ZJLAB-AMMI/LLM4RL

  A RL approach to enable cost-effective, intelligent interactions between a local agent and a remote LLM

  Language:Python701413

• ermongroup/CalibratedModelBasedRL

  Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.

  Language:Python5511111

• AlgTUDelft/WCSAC

  Code for the paper "WCSAC: Worst-Case Soft Actor Critic for Safety-Constrained Reinforcement Learning"

  Language:Python532519

• Metro1998/P-DQN

  Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space

  Language:Python42138

• martius-lab/cid-in-rl

  Code for the paper: "Causal Influence Detection for Improving Efficiency in Reinforcement Learning", by Seitzer, M., Schölkopf, B., Martius, G., NeurIPS 2021

  Language:Python38323

• wuzhy66/ML-DAM

  Meta-Learning-based Deep Reinforcement Learning for Multiobjective Optimization Problems

  Language:Python331217

• chaovven/SMIX

  Code for "SMIX(λ): Enhancing Centralized Value Functions for Cooperative Multi-Agent Reinforcement Learning" AAAI 2020

  Language:Python26125

• vdean/audio-curiosity

  Language:Python23544

• SOTIF-AVLab/PeSOTIF

  22001

• microsoft/conservative-uncertainty-estimation-random-priors

  Source code for paper Conservative Uncertainty Estimation By Fitting Prior Networks (ICLR 2020)

  Language:Python21317

• TMIS-Turbo/PRC-CMORL

  [Neurocomputing, 2023] Personalized Robotic Control via Constrained Multi-Objective Reinforcement Learning

  Language:Python21216

• mahaitongdae/Feasible-Actor-Critic

  Code for paper Feasible Actor-Critic: Constrained Reinforcement Learning for Ensuring Statewise Safety.

  Language:Python20123

• sisl/MultiAgentVariationalOcclusionInference

  Multi-agent occlusion inference using observed driver behaviors. A driver sensor model is learned using a conditional variational autoencoder. Information from multiple drivers is fused into an ego vehicle's map using evidential theory.

  Language:Python20648

• Sanch153/Distributed_leader_follower

  Simulation of a distributed control algorithm to drive a multi-agent system with a single leader (has knowledge about target locations) to the target positions with collision avoidance.

  Language:MATLAB19104

• Neo-X/SMiRL_Code

  Language:Python18225

• xbchen82/PedCMT

  Code of the paper entitled "Pedestrian Crossing Intention Prediction Based on Cross-Modal Transformer and Uncertainty-Aware Multi-Task Learning for Autonomous Driving"

  Language:Python15231

• Abluceli/H2G-MAAC

  The code of paper "Learning Heterogeneous Strategies via Graph-based Multi-agent Reinforcement Learning in Mixed Cooperative-Competitive Environments"

  Language:Python13202

• DavidKoleczek/human_marl

  Cooperative Multi Agent Reinforcement Learning with Human in the Loop

  Language:Python13511

• sihongho/Robust_MARL_with_State_Uncertainty

  Robust Multi-Agent Reinforcement Learning with State Uncertainty

  Language:Python12100

• amandazhuyilan/Functional-Safety-and-SOTIF

  8100

• siavash91/TC-DQN

  Adaptive Signal Traffic Control with Reinforcement Learning: Towards State-of-the-art and Beyond

  Language:Python8122

• hedingjie/DME-DRL

  This is the repository of "Decentralized exploration of structured environment based on multi-agent deep reinforcement learning" processing in icpads2020

  Language:Python7102

• sharpenb/Aleatoric-Epistemic-Uncertainty-RL

  Distribution-Free Uncertainty Quantification Workshop (DFUQ - ICML 2022)

  Language:Python4100

• shbz80/Stablevic27

  Code for the paper Stability-guaranteed reinforcement learning for contact-rich manipulation, IEEE RA-L, 2020.

  Language:Python3104

• lxily/MAFTRL

  Code implementation for the paper "Multi-agent Fault-tolerant Reinforcement Learning with Noisy Environments" (ICPADS 2020).

  Language:Python2100

• Mahrooo/Deep-Reinforcement-Learning-TD3

  This work has been done as a CS591 Deep Learning course project based on "addressing function approximation error in actor-critic methods" paper.

  Language:Python2300

• mbonyani/DipNet

  DIPNet: Driver Intention Prediction for a Safe Takeover Transition in Autonomous Vehicles

  Language:Jupyter Notebook2110