Alternatives and similar repositories for SolvePOMDP:

Users that are interested in SolvePOMDP are comparing it to the libraries listed below

• rmoehn / piglet_pbvi
  Implementation of point-based value iteration (for POMDPs)
  ☆12Updated 4 years ago
• johannes-fischer / icml2020_ipft
  Code for the ICML 2020 publication "Information Particle Filter Tree: An Online Algorithm for POMDPs with Belief-Based Rewards on Continu…
  ☆12Updated 4 years ago
• ermongroup / CalibratedModelBasedRL
  Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.
  ☆55Updated 5 years ago
• wuga214 / PAPER_IJCAI17_HybridPlanning_NeuralNetwork_MILP
  The code of paper "Nonlinear Hybrid Planning with Deep Net Learned Transition Models and Mixed-Integer Linear Programming." published on …
  ☆10Updated 6 years ago
• laurimi / npgi
  Non-linear policy graph improvement - planning for Dec-POMDPs
  ☆16Updated 3 years ago
• JuliaPOMDP / POMCPOW.jl
  Online solver based on Monte Carlo tree search for POMDPs with continuous state, action, and observation spaces.
  ☆56Updated 7 months ago
• HumanCompatibleAI / population-irl
  (Experimental) Inverse reinforcement learning from trajectories generated by multiple agents with different (but correlated) rewards
  ☆26Updated 5 years ago
• aijunbai / thompson-sampling
  Thompson Sampling based Monte Carlo Tree Search for MDPs and POMDPs
  ☆15Updated 8 years ago
• AdaCompNUS / qmdp-net
  QMDP-Net implementation
  ☆65Updated 4 years ago
• StanfordASL / SNDL
  Stabilizable Nonlinear Dynamics Learning
  ☆21Updated 5 years ago
• RonanFR / UCRL
  ☆26Updated 5 years ago
• StanfordASL / CoCo
  ☆36Updated last year
• JuliaPOMDP / BasicPOMCP.jl
  The PO-UCT algorithm (aka POMCP) implemented in Julia
  ☆36Updated 7 months ago
• AdaCompNUS / sarsop
  Efficient Point-Based POMDP Planning by Approximating
  ☆88Updated 4 years ago
• Santara / stochastic_value_gradient
  Implementation of (Learning Continuous Control Policies by Stochastic Value Gradients)[https://arxiv.org/abs/1510.09142]
  ☆25Updated 3 years ago
• befelix / SafeMDP
  Safe exploration in Markov Decision Processes
  ☆37Updated 7 years ago
• sparisi / td-reg
  TD-Regularized Actor-Critic Methods
  ☆34Updated 5 years ago
• Pearl-UTexas / ActiveVaR
  Code for CORL'18 paper "Risk-Aware Active Inverse Reinforcement Learning"
  ☆16Updated 6 years ago
• ArmaanSethi / Hindsight-Experience-Replay-and-Hierarchical-Reinforcement-Learning
  Comp 781 Project
  ☆8Updated 6 years ago
• cvxgrp / cocp
  Source code for the examples accompanying the paper "Learning convex optimization control policies."
  ☆81Updated 2 years ago
• kylewray / nova
  CUDA optimized code for solving MDPs, POMDPs, and Dec-POMDPs.
  ☆18Updated 3 years ago
• bwilder0 / aaai_melding_code
  Code the AAAI 2019 paper "Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization"
  ☆28Updated 3 years ago
• malayandi / Tiger-Problem-POMDP
  Implementation of POMDP algorithms on the tiger example, as described in Littman, Cassandra and Kaelbling (1994).
  ☆17Updated 7 years ago
• JuliaPOMDP / FactoredValueMCTS.jl
  Scalable MCTS for team scenarios
  ☆15Updated 7 months ago
• aravindr93 / robustRL
  Robust policy search algorithms which train on model ensembles
  ☆28Updated 8 years ago
• locuslab / stable_dynamics
  Companion code to "Learning Stable Deep Dynamics Models" (Manek and Kolter, 2019)
  ☆32Updated 5 years ago
• Riashat / Policy-Gradient-Reinforcement-Learning
  ☆34Updated 8 years ago
• anonymous1234517 / code
  ☆11Updated 5 years ago
• zuoxingdong / DeepPILCO
  ☆53Updated 6 years ago
• krasheninnikov / max-causal-ent-irl
  Maximum Causal Entropy Inverse Reinforcement Learning
  ☆46Updated 6 years ago