Alternatives and similar repositories for bamcp

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

• zafarali / emdp
  Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations
  ☆49Updated 3 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
• RonanFR / UCRL
  ☆27Updated 6 years ago
• befelix / SafeOpt
  Safe Bayesian Optimization
  ☆150Updated 3 years ago
• siemens / industrialbenchmark
  Industrial Benchmark
  ☆139Updated 2 years ago
• ericjang / e2c
  TensorFlow impementation of: Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images
  ☆64Updated 9 years ago
• ermongroup / CalibratedModelBasedRL
  Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.
  ☆55Updated 6 years ago
• Bellman-devs / bellman
  Model-based reinforcement learning in TensorFlow
  ☆56Updated 4 years ago
• zuoxingdong / DeepPILCO
  ☆54Updated 7 years ago
• info-structures / ais
  This repository contains the code for RL for POMDPs through learning an Approximate Information State.
  ☆21Updated 4 years ago
• rllabmcgill / rlcourse-march-17-hugobb
  rlcourse-march-17-hugobb created by GitHub Classroom
  ☆16Updated last year
• dtak / hip-mdp-public
  Code for training and testing a Hidden Parameter Markov Decision Process, used to facilitate the transfer of learning
  ☆31Updated 7 years ago
• AlgTUDelft / SolvePOMDP
  Solving POMDPs using exact and approximate methods
  ☆14Updated 8 years ago
• young-j-park / 18-NeurIPS-APIAE
  ☆21Updated 6 years ago
• befelix / Safe-RL-Benchmark
  A library to benchmark reinforcement learning algorithms
  ☆21Updated 7 years ago
• WilsonWangTHU / POPLIN
  ☆99Updated 2 years ago
• lcalem / reproduction-soft-qlearning-mutual-information
  Reproduction of the paper "Soft Q-Learning with Mutual Information Regularization" CoRL 2019.
  ☆10Updated 6 years ago
• jonasrothfuss / model_ensemble_meta_learning
  Implementation of the Model-Based Meta-Policy-Optimization (MB-MPO) algorithm
  ☆44Updated 7 years ago
• siemens / policy_search_bb-alpha
  ☆69Updated 7 years ago
• resibots / chatzilygeroudis_2018_rte
  Code for the Reset-free Trial and Error learning paper (RTE) experiments
  ☆10Updated 7 years ago
• behaviorguidedRL / BGRL
  Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization
  ☆24Updated 5 years ago
• tmoer / multimodal_varinf
  Code for paper "Learning Multimodal Transition Dynamics for Model-Based Reinforcement Learning".
  ☆35Updated 7 years ago
• MethodsOfMachineLearning / entropy-search
  Entropy Search for Information-Efficient Global Optimization - JMLR v13
  ☆30Updated 8 years ago
• jaztsong / PILCO-gpytorch
  ☆34Updated 5 years ago
• brain-research / mirage-rl
  Code to reproduce the experiments in The Mirage of Action-Dependent Baselines in Reinforcement Learning.
  ☆17Updated 7 years ago
• modestyachts / robust-adaptive-lqr
  Implementation of robust adaptive control methods for the linear quadratic regulator
  ☆38Updated 3 years ago
• mcgillmrl / prob_mbrl
  A library of probabilistic model based RL algorithms in pytorch
  ☆107Updated 4 years ago
• sebascuri / hucrl
  ☆32Updated 2 years ago
• MADPToolbox / MADP
  The Multiagent Decision Process (MADP) Toolbox - planning and learning in multiagent systems.
  ☆84Updated 5 years ago
• mrkulk / hierarchical-deep-RL
  Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstractions and Intrinsic Motivation
  ☆87Updated 7 years ago