Alternatives and similar repositories for py-pomdp

Users that are interested in py-pomdp are comparing it to the libraries listed below

• geek-ai / 1m-agents
  A platform of grid world that supports up to 1 million reinforcement-learning agents.
  ☆69Updated 7 years ago
• tmoer / multimodal_varinf
  Code for paper "Learning Multimodal Transition Dynamics for Model-Based Reinforcement Learning".
  ☆35Updated 6 years ago
• chrodan / tdlearn
  some common TD Learning algorithms
  ☆67Updated 5 years ago
• mrkulk / hierarchical-deep-RL
  Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstractions and Intrinsic Motivation
  ☆87Updated 7 years ago
• florensacc / snn4hrl
  Stochastic Neural Networks for Hierarchical Reinforcement Learning
  ☆96Updated 7 years ago
• wulfebw / hierarchical_rl
  hierarchical deep reinforcement learning algorithms
  ☆41Updated 7 years ago
• rrti / maxq
  hierarchical Q-learning implementation
  ☆11Updated 9 years ago
• wulfebw / playing_atari
  learning to play atari games with reinforcement learning
  ☆10Updated 9 years ago
• Breakend / DeepReinforcementLearningThatMatters
  Accompanying code for "Deep Reinforcement Learning that Matters"
  ☆152Updated 7 years ago
• go2sea / C51DQN
  A TensorFlow implementation of DeepMind's A Distributional Perspective on Reinforcement Learning.(C51-DQN)
  ☆56Updated 7 years ago
• iosband / TabulaRL
  ☆65Updated last year
• mcmachado / options
  ☆43Updated 8 years ago
• siemanko / guided-policy-search
  Implementation is mostly based on Sergey Levine work (http://www.eecs.berkeley.edu/~svlevine/).
  ☆43Updated 10 years ago
• Breakend / OptionGAN
  Code accompanying the OptionGAN paper.
  ☆44Updated 6 years ago
• idlrl / flare
  RL framework for embodied agents based on PyTorch
  ☆12Updated 6 years ago
• hhexiy / opponent
  Implementation for ICML 16 paper "Deep reinforcement learning with opponent modeling"
  ☆71Updated 8 years ago
• quanvuong / Supervised_Policy_Update
  Code to reproduce Supervised Policy Update (ICLR 2019)
  ☆17Updated 2 years ago
• Ardavans / DSR
  ☆97Updated 8 years ago
• pkumusic / E-DRL
  Exploration Strategies for Deep Reinforcement Learning
  ☆39Updated 6 years ago
• facebookresearch / M3RL
  Mind-aware Multi-agent Management Reinforcement Learning
  ☆82Updated 6 years ago
• 5vision / DARQN
  Deep Attention Recurrent Q-Network
  ☆115Updated 9 years ago
• nosyndicate / pytorchrl
  Deep Reinforcement Learning algorithms implemented in PyTorch
  ☆49Updated 6 years ago
• sudeepraja / Model-Free-Episodic-Control
  Implimentation of the Model Free Episodic Control paper by Deep Mind : http://arxiv.org/abs/1606.04460
  ☆55Updated 8 years ago
• Nat-D / FeatureControlHRL
  Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning
  ☆80Updated 7 years ago
• jacobandreas / psketch
  Modular multitask reinforcement learning with policy sketches
  ☆108Updated 3 years ago
• vvanirudh / IRL-Toolkit
  IRL Toolkit developed by Sergey Levine (Taken from https://graphics.stanford.edu/projects/gpirl/)
  ☆62Updated 8 years ago
• aravindr93 / robustRL
  Robust policy search algorithms which train on model ensembles
  ☆28Updated 8 years ago
• davidhershey / feudal_networks
  An implementation of FeUdal Networks for Hierarchical Reinforcement Learning as published : https://arxiv.org/abs/1703.01161
  ☆183Updated 7 years ago
• flowersteam / rl-difference-testing
  Simple tools for statistical analyses in RL experiments
  ☆66Updated 6 years ago
• rlbayes / rllabplusplus
  ☆159Updated 7 years ago