Alternatives and similar repositories for Supervised_Policy_Update

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

• aravindr93 / robustRL
  Robust policy search algorithms which train on model ensembles
  ☆30Updated 9 years ago
• roosephu / slbo
  Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees
  ☆55Updated 6 years ago
• DartML / PPO-Stein-Control-Variate
  Proximal Policy Optimization with Stein Control Variates:
  ☆33Updated 7 years ago
• facebookresearch / slbo
  Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees
  ☆93Updated 6 years ago
• ermongroup / CalibratedModelBasedRL
  Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.
  ☆55Updated 6 years ago
• illidanlab / rpg
  Ranking Policy Gradient
  ☆23Updated 5 years ago
• flowersteam / rl-difference-testing
  Simple tools for statistical analyses in RL experiments
  ☆67Updated 7 years ago
• nnaisense / MAGE
  Learning Action-Value Gradients in Model-based Policy Optimization
  ☆32Updated 4 years ago
• kindredresearch / arp
  Autoregressive policies for continuous control reinforcement learning
  ☆32Updated 6 years ago
• florensacc / snn4hrl
  Stochastic Neural Networks for Hierarchical Reinforcement Learning
  ☆94Updated 7 years ago
• voot-t / guide-actor-critic
  Keras implementation of guide actor-critic for continuous control
  ☆11Updated 7 years ago
• KyriacosShiarli / taco
  ☆25Updated 6 years ago
• flowersteam / geppg
  ☆35Updated 7 years ago
• google-research / policy-learning-landscape
  Explore the optimization landscape for direct policy learning reinforcement learning.
  ☆51Updated 6 years ago
• uber-research / D3G
  Estimating Q(s,s') with Deep Deterministic Dynamics Gradients
  ☆32Updated 5 years ago
• tmoer / multimodal_varinf
  Code for paper "Learning Multimodal Transition Dynamics for Model-Based Reinforcement Learning".
  ☆35Updated 7 years ago
• NoListen / ERL
  Exploration based Reinforcement Learning. (Montezuma Revenge)
  ☆14Updated 7 years ago
• nosyndicate / pytorchrl
  Deep Reinforcement Learning algorithms implemented in PyTorch
  ☆49Updated 7 years ago
• jvmncs / ParamNoise
  A comparison of parameter space noise methods for exploration in deep reinforcement learning
  ☆28Updated 6 years ago
• llan-ml / tesp
  Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"
  ☆34Updated 6 years ago
• russellmendonca / maesn_suite
  ☆43Updated 7 years ago
• ruizhaogit / mep
  Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)
  ☆24Updated 6 years ago
• ShibiHe / Q-Optimality-Tightening
  This is my implementation of the Optimality Tightening
  ☆37Updated 8 years ago
• seungjaeryanlee / rl-exploration
  Reinforcement Learning papers on exploration methods.
  ☆19Updated 4 years ago
• RomainLaroche / SPIBB
  Safe Policy Improvement with Baseline Bootstrapping
  ☆26Updated 5 years ago
• zafarali / emdp
  Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations
  ☆49Updated 3 years ago
• Feryal / craft-env
  ☆44Updated 6 years ago
• TianhongDai / self-imitation-learning-pytorch
  This is the pytorch implementation of ICML 2018 paper - Self-Imitation Learning.
  ☆66Updated 7 years ago
• YyzHarry / SV-RL
  [ICLR 2020, Oral] Harnessing Structures for Value-Based Planning and Reinforcement Learning
  ☆34Updated 5 years ago
• justinjfu / diagnosing_qlearning
  Code for Diagnosing Bottlenecks in Deep Q-learning. Contains implementations of tabular environments plus solvers.
  ☆19Updated 6 years ago