Alternatives and similar repositories for dbn-pp

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

• sammiekatt / fba-pomdp
  Factored model-based Bayesian Reinforcement Learning framework
  ☆22Updated 3 years ago
• MADPToolbox / MADP
  The Multiagent Decision Process (MADP) Toolbox - planning and learning in multiagent systems.
  ☆84Updated 5 years ago
• AdaCompNUS / sarsop
  Efficient Point-Based POMDP Planning by Approximating
  ☆92Updated 5 years ago
• sisl / AutomotivePOMDPs.jl
  ☆23Updated 5 years ago
• JuliaPOMDP / POMCPOW.jl
  Online solver based on Monte Carlo tree search for POMDPs with continuous state, action, and observation spaces.
  ☆59Updated 2 months ago
• bark-simulator / bark-ml
  Gym environments and agents for autonomous driving.
  ☆104Updated last year
• hari-sikchi / safeRL
  Safe Reinforcement Learning algorithms
  ☆75Updated 3 years ago
• laurimi / npgi
  Non-linear policy graph improvement - planning for Dec-POMDPs
  ☆16Updated 4 years ago
• namoshizun / PyPOMDP
  Python implementation of POMDP framework and PBVI & POMCP algorithms.
  ☆116Updated 4 years ago
• eleurent / social-attention
  Social Attention for Autonomous Decision-Making in Dense Traffic
  ☆23Updated 4 years ago
• ermongroup / CalibratedModelBasedRL
  Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.
  ☆55Updated 6 years ago
• zuoxingdong / DeepPILCO
  ☆54Updated 7 years ago
• zsunberg / ContinuousPOMDPTreeSearchExperiments.jl
  Experiments for designing tree search algorithms for Continuous POMDPs
  ☆19Updated 5 years ago
• jinming99 / DGP-IRL
  Deep Gaussian Process for Inverse Reinforcement Learning
  ☆33Updated 8 years ago
• kylewray / nova
  CUDA optimized code for solving MDPs, POMDPs, and Dec-POMDPs.
  ☆18Updated 4 years ago
• BerkeleyAutomation / Urban_Driving_Simulator
  FLUIDS is a lightweight driving simulator for benchmarking Deep Reinforcement and Imitation learning algorithms.
  ☆24Updated 6 years ago
• dsadigh / driving-interactions
  ☆37Updated 9 years ago
• sisl / gail-driver
  ☆116Updated 8 years ago
• madras-simulator / MADRaS
  Multi-Agent DRiving Simulator
  ☆92Updated 5 years ago
• befelix / SafeMDP
  Safe exploration in Markov Decision Processes
  ☆37Updated 8 years ago
• 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.
  ☆51Updated 7 years ago
• trey0 / zmdp
  Planning algorithms for problems with uncertain world state and action outcomes (POMDP and MDP models)
  ☆56Updated 4 years ago
• homangab / gradcem
  Code for the paper Model-Predictive Control via Cross-Entropy and Gradient-Based Optimization
  ☆68Updated 5 years ago
• jiachenli94 / Awesome-Decision-Making-Reinforcement-Learning
  A selection of state-of-the-art research materials on decision making and motion planning.
  ☆236Updated 5 years ago
• ying-wen / malib_deprecated
  A Multi-agent Learning Framework
  ☆62Updated 4 years ago
• sisl / aa228-notebook
  IJulia notebooks for AA228/CS238 Decision Making Under Uncertainty course at Stanford University
  ☆146Updated 2 years ago
• sisl / AutomotiveDrivingModels.jl
  Driving simulation architecture for Julia
  ☆62Updated 5 years ago
• 011235813 / discrete_mean_field_game
  Experiments on a discrete mean field game model of population dynamics with reinforcement learning
  ☆38Updated 2 years ago
• acguez / bamcp
  Bayes-Adaptive Monte-Carlo Planning algorithm
  ☆17Updated 12 years ago
• akifumi-wachi-4 / safe_near_optimal_mdp
  Safe Reinforcement Learning in Constrained Markov Decision Processes
  ☆61Updated 5 years ago