Alternatives and similar repositories for robustRL:

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

• quanvuong / Supervised_Policy_Update
  Code to reproduce Supervised Policy Update (ICLR 2019)
  ☆17Updated 2 years ago
• Breakend / OptionGAN
  Code accompanying the OptionGAN paper.
  ☆43Updated 6 years ago
• DartML / PPO-Stein-Control-Variate
  Proximal Policy Optimization with Stein Control Variates:
  ☆33Updated 7 years ago
• illidanlab / rpg
  Ranking Policy Gradient
  ☆23Updated 5 years ago
• nosyndicate / pytorchrl
  Deep Reinforcement Learning algorithms implemented in PyTorch
  ☆49Updated 6 years ago
• ShibiHe / Q-Optimality-Tightening
  This is my implementation of the Optimality Tightening
  ☆37Updated 7 years ago
• tmoer / multimodal_varinf
  Code for paper "Learning Multimodal Transition Dynamics for Model-Based Reinforcement Learning".
  ☆35Updated 6 years ago
• mcmachado / options
  ☆43Updated 8 years ago
• ericjang / e2c
  TensorFlow impementation of: Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images
  ☆65Updated 8 years ago
• roosephu / slbo
  Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees
  ☆55Updated 5 years ago
• iosband / TabulaRL
  ☆65Updated last year
• TianhongDai / self-imitation-learning-pytorch
  This is the pytorch implementation of ICML 2018 paper - Self-Imitation Learning.
  ☆66Updated 6 years ago
• llan-ml / tesp
  Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"
  ☆34Updated 5 years ago
• ruizhaogit / mep
  Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)
  ☆23Updated 5 years ago
• david-abel / rl_abstraction
  Code for experimenting with state and action abstractions in reinforcement learning.
  ☆30Updated 4 years ago
• russellmendonca / maesn_suite
  ☆42Updated 6 years ago
• ethanluoyc / e2c-pytorch
  E2C implementation in PyTorch
  ☆43Updated 7 years ago
• ermongroup / CalibratedModelBasedRL
  Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.
  ☆55Updated 5 years ago
• flowersteam / rl-difference-testing
  Simple tools for statistical analyses in RL experiments
  ☆66Updated 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
• MOCR / DDPG
  reimplementation of the ddpg algorithm using tensorflow
  ☆38Updated 8 years ago
• RonanFR / UCRL
  ☆27Updated 5 years ago
• HumanCompatibleAI / population-irl
  (Experimental) Inverse reinforcement learning from trajectories generated by multiple agents with different (but correlated) rewards
  ☆27Updated 5 years ago
• KyriacosShiarli / taco
  ☆25Updated 6 years ago
• Shallow-Updates-for-Deep-RL / Shallow_Updates_for_Deep_RL
  Official implementation for the paper: "Shallow Updates for Deep Reinforcement Learning"
  ☆18Updated 7 years ago
• kindredresearch / arp
  Autoregressive policies for continuous control reinforcement learning
  ☆29Updated 5 years ago
• florensacc / snn4hrl
  Stochastic Neural Networks for Hierarchical Reinforcement Learning
  ☆95Updated 6 years ago
• ilyasu123 / trpo
  ☆19Updated 8 years ago
• jeanharb / a2oc_delib
  A3C style Option-Critic with deliberation cost
  ☆39Updated 7 years ago
• arushijain94 / SafeOptionCritic
  Safe Option-Critic: Learning Safety in the Option-Critic Architecture
  ☆20Updated 6 years ago