Alternatives and similar repositories for LeaveNoTrace

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

• WilsonWangTHU / POPLIN
  ☆99Updated 2 years ago
• zuoxingdong / DeepPILCO
  ☆54Updated 7 years ago
• pschydlo / RLenv.directory
  Explore and find reinforcement learning environments in a list of 150+ open source environments.
  ☆90Updated 2 years ago
• mcgillmrl / kusanagi
  Library for model based RL in robotics
  ☆37Updated 7 years ago
• rddy / deepassist
  Shared autonomy via deep reinforcement learning
  ☆80Updated 2 years ago
• martinseilair / dm_control2gym
  OpenAI Gym Wrapper for DeepMind Control Suite
  ☆72Updated 3 years ago
• zuoxingdong / dm2gym
  Convert DeepMind Control Suite to OpenAI gym environments.
  ☆87Updated 5 years ago
• montrealrobotics / active-domainrand
  Code repository for Active Domain Randomization (CoRL 2019, https://arxiv.org/abs/1904.04762)
  ☆101Updated 4 years ago
• Santara / stochastic_value_gradient
  Implementation of (Learning Continuous Control Policies by Stochastic Value Gradients)[https://arxiv.org/abs/1510.09142]
  ☆25Updated 3 years ago
• mcgillmrl / prob_mbrl
  A library of probabilistic model based RL algorithms in pytorch
  ☆107Updated 4 years ago
• edbeeching / 3d_control_deep_rl
  Baselines and memory-based scenarios for the ViZDoom simulator
  ☆36Updated 2 years ago
• dibyaghosh / dnc
  Code for "Divide-and-Conquer Reinforcement Learning"
  ☆61Updated 6 years ago
• sunblaze-ucb / rl-generalization
  Modifiable OpenAI Gym environments for studying generalization in RL
  ☆87Updated 6 years ago
• zafarali / emdp
  Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations
  ☆49Updated 3 years ago
• alexlee-gk / slac
  Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model
  ☆153Updated 5 years ago
• kindredresearch / arp
  Autoregressive policies for continuous control reinforcement learning
  ☆32Updated 6 years ago
• Stanford-ILIAD / batch-active-preference-based-learning
  Companion code to CoRL 2018 paper: E Bıyık, D Sadigh. "Batch Active Preference-Based Learning of Reward Functions". Conference on Robot L…
  ☆30Updated 6 years ago
• paulorauber / hpg
  Hindsight policy gradients
  ☆45Updated 5 years ago
• BerkeleyAutomation / DART
  ☆49Updated 5 years ago
• RLAgent / state-marginal-matching
  Efficient Exploration via State Marginal Matching (2019)
  ☆69Updated 6 years ago
• hu-po / pySACQ
  PyTorch implementation of SAC-Q Reinforcement Learning Algorithm (tested on OpenAI Gym environments)
  ☆38Updated 4 years ago
• natolambert / dynamicslearn
  Working directory for dynamics learning for experimental robots.
  ☆57Updated 4 years ago
• tdavchev / option-critic
  A Tensorflow implementation of the Option-Critic Architecture
  ☆73Updated 8 years ago
• tmoer / multimodal_varinf
  Code for paper "Learning Multimodal Transition Dynamics for Model-Based Reinforcement Learning".
  ☆35Updated 7 years ago
• cjm715 / mgym
  A collection of multi-agent reinforcement learning OpenAI gym environments
  ☆46Updated 5 years ago
• marcino239 / pilco
  Using Pilco algorithm to find a controller for few robotic problems
  ☆43Updated 10 years ago
• maximilianigl / DVRL
  Deep Variational Reinforcement Learning
  ☆137Updated 3 years ago
• vvanirudh / IRL-Toolkit
  IRL Toolkit developed by Sergey Levine (Taken from https://graphics.stanford.edu/projects/gpirl/)
  ☆62Updated 8 years ago
• StanfordASL / BaRC
  Contains the code for "BaRC: Backward Reachability Curriculum for Robotic Reinforcement Learning" by Boris Ivanovic, James Harrison, Apoo…
  ☆12Updated 7 years ago
• russellmendonca / GMPS
  Guided-Meta Policy Search
  ☆39Updated 2 years ago