Alternatives and similar repositories for reinforcement

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

• quanvuong / Supervised_Policy_Update
  Code to reproduce Supervised Policy Update (ICLR 2019)
  ☆17Updated 3 years ago
• Feryal / a3c-mujoco
  ☆28Updated 8 years ago
• rlbayes / rllabplusplus
  ☆160Updated 8 years ago
• florensacc / snn4hrl
  Stochastic Neural Networks for Hierarchical Reinforcement Learning
  ☆94Updated 7 years ago
• jacobandreas / psketch
  Modular multitask reinforcement learning with policy sketches
  ☆110Updated 4 years ago
• Breakend / DeepReinforcementLearningThatMatters
  Accompanying code for "Deep Reinforcement Learning that Matters"
  ☆155Updated 8 years ago
• Alfo5123 / Robust-Multitask-RL
  Machine Learning Course Project Skoltech 2018
  ☆108Updated 7 years ago
• roosephu / slbo
  Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees
  ☆55Updated 6 years ago
• marcino239 / pilco
  Using Pilco algorithm to find a controller for few robotic problems
  ☆43Updated 10 years ago
• DartML / PPO-Stein-Control-Variate
  Proximal Policy Optimization with Stein Control Variates:
  ☆33Updated 8 years ago
• EndingCredits / Neural-Episodic-Control
  Implementation of Deepmind's Neural Episodic Control
  ☆58Updated 7 years ago
• Santara / stochastic_value_gradient
  Implementation of (Learning Continuous Control Policies by Stochastic Value Gradients)[https://arxiv.org/abs/1510.09142]
  ☆25Updated 4 years ago
• junhyukoh / value-prediction-network
  NIPS 2017 Value Prediction Network
  ☆167Updated 8 years ago
• andrewliao11 / pytorch-a3c-mujoco
  Implement A3C for Mujoco gym envs
  ☆73Updated 8 years ago
• andrewliao11 / gail-tf
  Tensorflow implementation of generative adversarial imitation learning
  ☆199Updated 7 years ago
• voot-t / guide-actor-critic
  Keras implementation of guide actor-critic for continuous control
  ☆11Updated 7 years ago
• DanielTakeshi / imitation
  ☆13Updated 8 years ago
• itaicaspi / mgail
  Model-Based Generative Adversarial Imitation Learning
  ☆89Updated 4 years ago
• abhishm / PGQ
  PGQ is an approach to combine Policy Gradient and Q-Learning. This repository will contain an implementation of PGQ.
  ☆15Updated 8 years ago
• mrkulk / hierarchical-deep-RL
  Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstractions and Intrinsic Motivation
  ☆87Updated 7 years ago
• nosyndicate / pytorchrl
  Deep Reinforcement Learning algorithms implemented in PyTorch
  ☆49Updated 7 years ago
• facebookresearch / slbo
  Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees
  ☆93Updated 6 years ago
• aravindr93 / robustRL
  Robust policy search algorithms which train on model ensembles
  ☆30Updated 9 years ago
• jvmncs / ParamNoise
  A comparison of parameter space noise methods for exploration in deep reinforcement learning
  ☆30Updated 6 years ago
• junhyukoh / self-imitation-learning
  ICML 2018 Self-Imitation Learning
  ☆278Updated 5 years ago
• bstadie / third_person_im
  third person imitation learning. Archival only.
  ☆75Updated 6 years ago
• tmoer / multimodal_varinf
  Code for paper "Learning Multimodal Transition Dynamics for Model-Based Reinforcement Learning".
  ☆35Updated 7 years ago
• clvrai / FeatureControlHRL-Tensorflow
  A Tensorflow implementation of Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning
  ☆32Updated 8 years ago
• Maluuba / hra
  Hybrid Reward Architecture
  ☆80Updated 7 years ago
• ermongroup / CalibratedModelBasedRL
  Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.
  ☆55Updated 6 years ago