Alternatives and similar repositories for Interpolated-Policy-Gradient-with-PPO-for-Robotics-Control-

Users that are interested in Interpolated-Policy-Gradient-with-PPO-for-Robotics-Control- are comparing it to the libraries listed below

• hu-po / pySACQ
  PyTorch implementation of SAC-Q Reinforcement Learning Algorithm (tested on OpenAI Gym environments)
  ☆37Updated 4 years ago
• mengf1 / DHER
  DHER: Hindsight Experience Replay for Dynamic Goals (ICLR-2019)
  ☆66Updated 5 years ago
• LihaoR / Entropy-Regularized-RL
  soft q learning and soft actor critic
  ☆15Updated 6 years ago
• mcgillmrl / kusanagi
  Library for model based RL in robotics
  ☆37Updated 6 years ago
• dibyaghosh / dnc
  Code for "Divide-and-Conquer Reinforcement Learning"
  ☆61Updated 6 years ago
• Knoxantropicen / model-based-meta-rl
  Self-implemented code for Model-Based Meta-Reinforcement Learning
  ☆17Updated 6 years ago
• k-r-allen / residual-policy-learning
  Residual policy learning
  ☆65Updated 6 years ago
• localminimum / hindsight-experience-replay
  Hindsight Experience Replay - Bit flipping experiment in Tensorflow
  ☆58Updated 6 years ago
• navuboy / gail_gym
  Implementation of Generatve Adversarial Imitation Learning (GAIL) for classic environments from OpenAI Gym.
  ☆89Updated 6 years ago
• HumanCompatibleAI / population-irl
  (Experimental) Inverse reinforcement learning from trajectories generated by multiple agents with different (but correlated) rewards
  ☆28Updated 5 years ago
• eugenevinitsky / robust_RL_multi_adversary
  We investigate the effect of populations on finding good solutions to the robust MDP
  ☆28Updated 4 years ago
• thanard / me-trpo
  ☆91Updated last year
• ermongroup / multiagent-gail
  ☆83Updated 6 years ago
• yilunc2020 / Attention-DQN
  Deep Recurrent Attention Reinforcement Learning in Atari
  ☆85Updated 6 years ago
• zuoxingdong / DeepPILCO
  ☆54Updated 7 years ago
• fshamshirdar / pytorch-rdpg
  PyTorch Implementation of the RDPG (Recurrent Deterministic Policy Gradient)
  ☆55Updated 2 years ago
• WilsonWangTHU / POPLIN
  ☆99Updated 2 years ago
• syuntoku14 / pytorch-rl-il
  A library for building reinforcement learning and imitation learning agents in Pytorch
  ☆59Updated 4 years ago
• hejia-zhang / awesome-model-based-reinforcement-learning
  A curated list of awesome Model-based reinforcement learning resources
  ☆93Updated 4 years ago
• VincentYu68 / policy_transfer
  ☆28Updated 4 years ago
• liuzuxin / safe-mbrl
  Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method
  ☆66Updated 2 years ago
• aravindsrinivas / neural-mpc
  ☆73Updated 4 years ago
• kpaonaut / HAAR-A-Hierarchical-RL-Algorithm
  Code accompanying HAAR paper, NeurIPS 2019 - Hierarchical Reinforcement Learning with Advantage-Based Auxiliary Rewards
  ☆31Updated 2 years ago
• nikhilbarhate99 / Deterministic-GAIL-PyTorch
  PyTorch implementation of Deterministic Generative Adversarial Imitation Learning (GAIL) for Off Policy learning
  ☆66Updated 5 years ago
• jinming99 / DGP-IRL
  Deep Gaussian Process for Inverse Reinforcement Learning
  ☆33Updated 7 years ago
• ppocma / ppocma
  ☆72Updated 6 years ago
• ruizhaogit / EnergyBasedPrioritization
  Energy-Based Hindsight Experience Prioritization (CoRL 2018) Oral presentation (7%)
  ☆34Updated 6 years ago
• tdavchev / option-critic
  A Tensorflow implementation of the Option-Critic Architecture
  ☆72Updated 8 years ago
• martinseilair / dm_control2gym
  OpenAI Gym Wrapper for DeepMind Control Suite
  ☆71Updated 3 years ago
• ahq1993 / inverse_rl
  Adversarial Imitation Via Variational Inverse Reinforcement Learning
  ☆95Updated 5 years ago