Alternatives and similar repositories for policy_search_bb-alpha

Users that are interested in policy_search_bb-alpha are comparing it to the libraries listed below

• ericjang / e2c
  TensorFlow impementation of: Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images
  ☆64Updated 9 years ago
• kimhc6028 / pytorch-noreward-rl
  pytorch implementation of Curiosity-driven Exploration by Self-supervised Prediction
  ☆80Updated 6 years ago
• floringogianu / categorical-dqn
  A working implementation of the Categorical DQN (Distributional RL).
  ☆96Updated 7 years ago
• flowersteam / rl-difference-testing
  Simple tools for statistical analyses in RL experiments
  ☆67Updated 7 years ago
• Breakend / DeepReinforcementLearningThatMatters
  Accompanying code for "Deep Reinforcement Learning that Matters"
  ☆153Updated 8 years ago
• Ardavans / DSR
  ☆97Updated 9 years ago
• isl-org / DirectFuturePrediction
  Code for the paper "Learning to Act by Predicting the Future", Alexey Dosovitskiy and Vladlen Koltun, ICLR 2017
  ☆151Updated last year
• rlbayes / rllabplusplus
  ☆159Updated 8 years ago
• ShibiHe / Q-Optimality-Tightening
  This is my implementation of the Optimality Tightening
  ☆37Updated 8 years ago
• eparisotto / ActorMimic
  Train an RL agent to play multiple Atari games at once
  ☆69Updated 9 years ago
• zuoxingdong / VIN_TensorFlow
  TensorFlow implementation of Value Iteration Networks (VIN): Clean, Simple and Modular
  ☆52Updated 8 years ago
• marcino239 / pilco
  Using Pilco algorithm to find a controller for few robotic problems
  ☆43Updated 10 years ago
• iassael / torch-e2c
  Torch7 impementation of: Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images
  ☆43Updated 9 years ago
• yaringal / HeteroscedasticDropoutUncertainty
  Demos demonstrating the difference between homoscedastic and heteroscedastic regression with dropout uncertainty.
  ☆141Updated 9 years ago
• Breakend / OptionGAN
  Code accompanying the OptionGAN paper.
  ☆44Updated 7 years ago
• AdamStelmaszczyk / learning2run
  Our NIPS 2017: Learning to Run source code
  ☆55Updated 2 years ago
• Nat-D / FeatureControlHRL
  Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning
  ☆80Updated 7 years ago
• tmoer / multimodal_varinf
  Code for paper "Learning Multimodal Transition Dynamics for Model-Based Reinforcement Learning".
  ☆35Updated 7 years ago
• rarilurelo / pcl_keras
  reinforcement learning. policy gradient. PCL
  ☆37Updated 8 years ago
• AMLab-Amsterdam / SEVDL_MGP
  Example implementation of the Bayesian neural network in "Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteri…
  ☆30Updated 5 years ago
• cmdowney / psrnn
  Predictive State Recurrent Neural Networks
  ☆18Updated 5 years ago
• JohnLangford / RL_acid
  Some hard problems for reinforcement learning.
  ☆32Updated 7 years ago
• gpapamak / epsilon_free_inference
  Code for paper "Fast ε-free Inference of Simulation Models with Bayesian Conditional Density Estimation"
  ☆32Updated 6 years ago
• DanielTakeshi / rl_algorithms
  I am implementing a lot of reinforcement learning and imitation learning algorithms since I'm sick of reading about them but not really u…
  ☆51Updated 5 years ago
• go2sea / C51DQN
  A TensorFlow implementation of DeepMind's A Distributional Perspective on Reinforcement Learning.(C51-DQN)
  ☆57Updated 8 years ago
• Breakend / RLSSContinuousControlTutorial
  Tutorial on continuous control at Reinforcement Learning Summer School 2017.
  ☆34Updated 8 years ago
• kvfrans / parallel-trpo
  A parallel version of Trust Region Policy Optimization
  ☆65Updated 8 years ago
• duvenaud / deep-limits
  Repo for a paper about constructing priors on very deep models.
  ☆73Updated 9 years ago
• ethanluoyc / e2c-pytorch
  E2C implementation in PyTorch
  ☆43Updated 8 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