Alternatives and similar repositories for dbn-pp

Users that are interested in dbn-pp are comparing it to the libraries listed below

• samkatt / fba-pomdp
  Factored model-based Bayesian Reinforcement Learning framework
  ☆22Updated 2 years ago
• namoshizun / PyPOMDP
  Python implementation of POMDP framework and PBVI & POMCP algorithms.
  ☆116Updated 4 years ago
• hari-sikchi / safeRL
  Safe Reinforcement Learning algorithms
  ☆75Updated 3 years ago
• AdaCompNUS / sarsop
  Efficient Point-Based POMDP Planning by Approximating
  ☆90Updated 5 years ago
• sisl / AutomotivePOMDPs.jl
  ☆23Updated 5 years ago
• bark-simulator / bark-ml
  Gym environments and agents for autonomous driving.
  ☆102Updated last year
• wulfebw / ngsim_env
  NGSIM Driving RL/Imitation learning environment compatible with rllab
  ☆12Updated 7 years ago
• MADPToolbox / MADP
  The Multiagent Decision Process (MADP) Toolbox - planning and learning in multiagent systems.
  ☆84Updated 4 years ago
• madras-simulator / MADRaS
  Multi-Agent DRiving Simulator
  ☆92Updated 4 years ago
• pemami4911 / POMDPy
  POMDPs in Python.
  ☆250Updated 6 years ago
• BerkeleyAutomation / Urban_Driving_Simulator
  FLUIDS is a lightweight driving simulator for benchmarking Deep Reinforcement and Imitation learning algorithms.
  ☆24Updated 6 years ago
• sisl / AutomotiveSafeRL
  Training and evaluation scripts for applying formal methods and reinforcement learning to autonomous driving problems.
  ☆27Updated 5 years ago
• sisl / gail-driver
  ☆114Updated 7 years ago
• JuliaPOMDP / POMCPOW.jl
  Online solver based on Monte Carlo tree search for POMDPs with continuous state, action, and observation spaces.
  ☆56Updated 3 months ago
• kylewray / nova
  CUDA optimized code for solving MDPs, POMDPs, and Dec-POMDPs.
  ☆18Updated 4 years ago
• hejia-zhang / awesome-model-based-reinforcement-learning
  A curated list of awesome Model-based reinforcement learning resources
  ☆93Updated 5 years ago
• sisl / ngsim_env
  Learning human driver models from NGSIM data with imitation learning.
  ☆182Updated 5 years ago
• AdaCompNUS / despot
  The DESPOT online POMDP solver
  ☆260Updated last year
• AliBaheri / Safe-Reinforcement-Learning
  The aim of this repo is to bring ideas and relevant literature relating to Safe-RL in the context of autonomous vehicles.
  ☆50Updated 7 years ago
• sisl / hgail
  gail, infogail, hierarchical gail implementations
  ☆34Updated 7 years ago
• sisl / AutomotiveDrivingModels.jl
  Driving simulation architecture for Julia
  ☆62Updated 5 years ago
• dsadigh / driving-interactions
  ☆37Updated 8 years ago
• aijunbai / hplanning
  Markovian State and Action Abstractions for MDPs via Hierarchical MCTS within a POMDP Formulation
  ☆11Updated 9 years ago
• sisl / AdaptiveStressTestingToolbox
  A toolbox for worst-case validation of autonomous policies
  ☆35Updated 2 years ago
• secury / CC-POMCP
  CC-POMCP, "Monte-Carlo Tree Search for Constrained POMDPs (NIPS 2018)"
  ☆25Updated 7 years ago
• jiachenli94 / Awesome-Decision-Making-Reinforcement-Learning
  A selection of state-of-the-art research materials on decision making and motion planning.
  ☆232Updated 5 years ago
• ermongroup / CalibratedModelBasedRL
  Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.
  ☆55Updated 6 years ago
• zuoxingdong / DeepPILCO
  ☆54Updated 7 years ago
• sisl / AutonomousMerging.jl
  Implementation of a highway merging scenario
  ☆30Updated 5 years ago
• laurimi / npgi
  Non-linear policy graph improvement - planning for Dec-POMDPs
  ☆16Updated 4 years ago