Alternatives and similar repositories for LeaveNoTrace:

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

• zuoxingdong / DeepPILCO
  ☆53Updated 6 years ago
• dibyaghosh / dnc
  Code for "Divide-and-Conquer Reinforcement Learning"
  ☆61Updated 6 years ago
• WilsonWangTHU / POPLIN
  ☆97Updated last year
• 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…
  ☆28Updated 5 years ago
• mcgillmrl / kusanagi
  Library for model based RL in robotics
  ☆37Updated 6 years ago
• hari-sikchi / safeRL
  Safe Reinforcement Learning algorithms
  ☆72Updated 2 years ago
• kindredresearch / arp
  Autoregressive policies for continuous control reinforcement learning
  ☆28Updated 5 years ago
• StanfordASL / BaRC
  Contains the code for "BaRC: Backward Reachability Curriculum for Robotic Reinforcement Learning" by Boris Ivanovic, James Harrison, Apoo…
  ☆12Updated 6 years ago
• zuoxingdong / dm2gym
  Convert DeepMind Control Suite to OpenAI gym environments.
  ☆84Updated 4 years ago
• montrealrobotics / domain-randomizer
  A standalone library to randomize various OpenAI Gym Environments
  ☆61Updated 5 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
• hu-po / pySACQ
  PyTorch implementation of SAC-Q Reinforcement Learning Algorithm (tested on OpenAI Gym environments)
  ☆36Updated 3 years ago
• martinseilair / dm_control2gym
  OpenAI Gym Wrapper for DeepMind Control Suite
  ☆72Updated 3 years ago
• ermongroup / CalibratedModelBasedRL
  Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.
  ☆55Updated 5 years ago
• lerrel / gym-adv
  Gym environments modified with adversarial agents
  ☆35Updated 7 years ago
• mklissa / PPOC
  Proximal Policy Option-Critic
  ☆22Updated 6 years ago
• russellmendonca / GMPS
  Guided-Meta Policy Search
  ☆41Updated 2 years ago
• mcgillmrl / prob_mbrl
  A library of probabilistic model based RL algorithms in pytorch
  ☆108Updated 3 years ago
• mengf1 / DHER
  DHER: Hindsight Experience Replay for Dynamic Goals (ICLR-2019)
  ☆65Updated 5 years ago
• zafarali / emdp
  Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations
  ☆48Updated 2 years ago
• hejia-zhang / awesome-model-based-reinforcement-learning
  A curated list of awesome Model-based reinforcement learning resources
  ☆90Updated 4 years ago
• marcino239 / pilco
  Using Pilco algorithm to find a controller for few robotic problems
  ☆43Updated 9 years ago
• tdavchev / option-critic
  A Tensorflow implementation of the Option-Critic Architecture
  ☆71Updated 7 years ago
• VincentYu68 / policy_transfer
  ☆27Updated 4 years ago
• pfnet-research / capg
  Implementation of clipped action policy gradient (CAPG) with PPO and TRPO
  ☆30Updated 6 years ago
• rddy / isql
  Inferring beliefs about dynamics from behavior
  ☆28Updated 6 years ago
• Pearl-UTexas / ActiveVaR
  Code for CORL'18 paper "Risk-Aware Active Inverse Reinforcement Learning"
  ☆16Updated 6 years ago
• sunblaze-ucb / rl-generalization
  Modifiable OpenAI Gym environments for studying generalization in RL
  ☆86Updated 5 years ago
• jvmncs / ParamNoise
  A comparison of parameter space noise methods for exploration in deep reinforcement learning
  ☆27Updated 5 years ago
• k-r-allen / residual-policy-learning
  Residual policy learning
  ☆58Updated 5 years ago