yl-1993 / SpectralMEIRL

Related projects ⓘ

Alternatives and complementary repositories for SpectralMEIRL

• HumanCompatibleAI / population-irl
  (Experimental) Inverse reinforcement learning from trajectories generated by multiple agents with different (but correlated) rewards
  ☆26Updated 5 years ago
• robotsorcerer / gps
  Guided policy search in Python and ROS Indigo.
  ☆24Updated 6 years ago
• mcgillmrl / kusanagi
  Library for model based RL in robotics
  ☆37Updated 6 years ago
• Pearl-UTexas / ActiveVaR
  Code for CORL'18 paper "Risk-Aware Active Inverse Reinforcement Learning"
  ☆15Updated 5 years ago
• zuoxingdong / DeepPILCO
  ☆53Updated 6 years ago
• jinming99 / DGP-IRL
  Deep Gaussian Process for Inverse Reinforcement Learning
  ☆33Updated 7 years ago
• vvanirudh / IRL-Toolkit
  IRL Toolkit developed by Sergey Levine (Taken from https://graphics.stanford.edu/projects/gpirl/)
  ☆62Updated 7 years ago
• resibots / kaushik_2018_multi-dex
  Source code for "Multi-objective Model-based Policy Search for Data-efficient Learning with Sparse Rewards" (CoRL 2018)
  ☆13Updated 6 years ago
• rddy / deepassist
  Shared autonomy via deep reinforcement learning
  ☆74Updated 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
• VincentYu68 / policy_transfer
  ☆25Updated 4 years ago
• dibyaghosh / dnc
  Code for "Divide-and-Conquer Reinforcement Learning"
  ☆60Updated 5 years ago
• aijunbai / taxi
  Hierarchical Online Planning and Reinforcement Learning on Taxi
  ☆30Updated 7 years ago
• k-r-allen / residual-policy-learning
  Residual policy learning
  ☆58Updated 5 years ago
• aravindsrinivas / neural-mpc
  ☆67Updated 4 years ago
• dsbrown1331 / bayesianrex
  ☆17Updated 3 years ago
• wjyoon / iLQG
  Python scripts for trajectory optimization method (iterative LQG)
  ☆10Updated 8 years ago
• kindredresearch / arp
  Autoregressive policies for continuous control reinforcement learning
  ☆28Updated 5 years ago
• edlanglois / mbbl-pilco
  Implementation of PILCO for the Model-Based Baselines Project
  ☆17Updated 5 years ago
• GeorgePik / POMCP
  Implementation of Partially Observable Monte Carlo Planning Algorithm
  ☆55Updated 6 years ago
• aidanscannell / pilco-tensorflow
  PILCO - Probabilistic Inference for Learning COntrol
  ☆12Updated 5 years ago
• marcino239 / pilco
  Using Pilco algorithm to find a controller for few robotic problems
  ☆43Updated 9 years ago
• tesatory / selfplay
  Intrinsic Motivation and Automatic Curricula via Asymmetric Self-Play
  ☆14Updated 6 years ago
• natolambert / dynamicslearn
  Working directory for dynamics learning for experimental robots.
  ☆56Updated 3 years ago
• jianing-sun / Interpolated-Policy-Gradient-with-PPO-for-Robotics-Control-
  Reinforcement Learning for robotics continuous control, mainly based on Proximal Policy Optimization, extending to Interpolated Policy Gr…
  ☆36Updated 5 years ago
• martinseilair / dm_control2gym
  OpenAI Gym Wrapper for DeepMind Control Suite
  ☆71Updated 2 years ago
• neka-nat / ddp-gym
  Differential Dynamic Programming controller operating in OpenAI Gym environment.
  ☆86Updated 4 years ago
• harry-uglow / Curriculum-Reinforcement-Learning
  Novel Reinforcement Learning method for tackling goal-oriented robotics tasks with obstacles.
  ☆28Updated 2 years ago
• alversafa / option-critic-arch
  Implementation of the Option-Critic Architecture
  ☆36Updated 5 years ago
• liuzuxin / safe-mbrl
  Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method
  ☆62Updated last year