Alternatives and similar repositories for Tiger-Problem-POMDP

Users that are interested in Tiger-Problem-POMDP are comparing it to the libraries listed below

• rmoehn / piglet_pbvi
  Implementation of point-based value iteration (for POMDPs)
  ☆12Updated 5 years ago
• namoshizun / PyPOMDP
  Python implementation of POMDP framework and PBVI & POMCP algorithms.
  ☆113Updated 3 years ago
• pemami4911 / POMDPy
  POMDPs in Python.
  ☆249Updated 6 years ago
• befelix / safe_learning
  Safe reinforcement learning with stability guarantees
  ☆232Updated 3 years ago
• akifumi-wachi-4 / safe_near_optimal_mdp
  Safe Reinforcement Learning in Constrained Markov Decision Processes
  ☆60Updated 4 years ago
• hari-sikchi / safeRL
  Safe Reinforcement Learning algorithms
  ☆74Updated 2 years ago
• befelix / SafeMDP
  Safe exploration in Markov Decision Processes
  ☆37Updated 7 years ago
• MADPToolbox / MADP
  The Multiagent Decision Process (MADP) Toolbox - planning and learning in multiagent systems.
  ☆81Updated 4 years ago
• h2r / pomdp-py
  A framework to build and solve POMDP problems. Documentation: https://h2r.github.io/pomdp-py/
  ☆251Updated 2 months 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.
  ☆48Updated 6 years ago
• AdaCompNUS / sarsop
  Efficient Point-Based POMDP Planning by Approximating
  ☆90Updated 5 years ago
• catohaste / POMDP
  Implementing a Reinforcement Learning algorithm based upon a partially observable Markov decision process, applicable in modelling decisi…
  ☆57Updated 5 years ago
• vjg28 / Linear-Inverse-RL-algorithms
  Implementation of Linear Inverse Reinforcement Learning Algorithm (IRL) on Mountain Car Environment.
  ☆31Updated 5 years ago
• hejia-zhang / awesome-model-based-reinforcement-learning
  A curated list of awesome Model-based reinforcement learning resources
  ☆94Updated 4 years ago
• jachiam / cpo
  Constrained Policy Optimization
  ☆322Updated 8 years ago
• d3sm0 / gym_pomdp
  Gym-like extensions for POMDP
  ☆57Updated 4 years ago
• sumitsk / marl_transfer
  Code for paper 'Learning transferable cooperative behaviors in multi-agent teams' (ICML 2019)
  ☆114Updated 2 years ago
• fshamshirdar / pytorch-rdpg
  PyTorch Implementation of the RDPG (Recurrent Deterministic Policy Gradient)
  ☆55Updated 2 years ago
• hsvgbkhgbv / SQDDPG
  This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled …
  ☆119Updated 8 months ago
• AgrawalAmey / safe-explorer
  Pytorch implementation of "Safe Exploration in Continuous Action Spaces" [Dalal et al.]
  ☆72Updated 6 years ago
• ermongroup / MA-AIRL
  Multi-Agent Adversarial Inverse Reinforcement Learning, ICML 2019.
  ☆210Updated 6 years ago
• kchua / handful-of-trials
  Experiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"
  ☆451Updated 2 years ago
• qzed / irl-maxent
  Maximum Entropy and Maximum Causal Entropy Inverse Reinforcement Learning Implementation in Python
  ☆291Updated last year
• nrontsis / PILCO
  Bayesian Reinforcement Learning in Tensorflow
  ☆331Updated 4 years ago
• ALRhub / deep_rl_for_swarms
  ☆94Updated 2 years ago
• vvanirudh / IRL-Toolkit
  IRL Toolkit developed by Sergey Levine (Taken from https://graphics.stanford.edu/projects/gpirl/)
  ☆62Updated 8 years ago
• befelix / safe-exploration
  Safe Exploration with MPC and Gaussian process models
  ☆89Updated 4 years ago
• mynkpl1998 / Recurrent-Deep-Q-Learning
  Solving POMDP using Recurrent networks
  ☆87Updated 5 years ago
• rcheng805 / RL-CBF
  ☆154Updated 6 years ago
• jinming99 / DGP-IRL
  Deep Gaussian Process for Inverse Reinforcement Learning
  ☆33Updated 8 years ago