samlanka / DDPG-PyTorch

Related projects ⓘ

Alternatives and complementary repositories for DDPG-PyTorch

• dnddnjs / feudal-montezuma
  Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge
  ☆92Updated 2 years ago
• TianhongDai / self-imitation-learning-pytorch
  This is the pytorch implementation of ICML 2018 paper - Self-Imitation Learning.
  ☆65Updated 6 years ago
• mengf1 / DHER
  DHER: Hindsight Experience Replay for Dynamic Goals (ICLR-2019)
  ☆66Updated 5 years ago
• tdavchev / option-critic
  A Tensorflow implementation of the Option-Critic Architecture
  ☆70Updated 7 years ago
• ewanlee / ICLR2019-RL-Papers
  The Reinforcement-Learning-Related Papers of ICLR 2019
  ☆48Updated 5 years ago
• ppocma / ppocma
  ☆70Updated 5 years ago
• nikhilbarhate99 / Deterministic-GAIL-PyTorch
  PyTorch implementation of Deterministic Generative Adversarial Imitation Learning (GAIL) for Off Policy learning
  ☆66Updated 4 years ago
• junjungoal / IMPALA-pytorch
  PyTorch IMPALA implementation
  ☆24Updated 5 years ago
• thanard / me-trpo
  ☆90Updated 11 months ago
• wizdom13 / RND-Pytorch
  Random Network Distillation(RND) algo in Pytorch
  ☆48Updated 5 years ago
• kristery / Imitation-Learning-from-Imperfect-Demonstration
  [ICML 2019] Implementation of "Imitation Learning from Imperfect Demonstration"
  ☆46Updated 5 years ago
• yilunc2020 / Attention-DQN
  Deep Recurrent Attention Reinforcement Learning in Atari
  ☆82Updated 6 years ago
• vjg28 / Linear-Inverse-RL-algorithms
  Implementation of Linear Inverse Reinforcement Learning Algorithm (IRL) on Mountain Car Environment.
  ☆29Updated 4 years ago
• navuboy / gail_gym
  Implementation of Generatve Adversarial Imitation Learning (GAIL) for classic environments from OpenAI Gym.
  ☆88Updated 5 years ago
• fshamshirdar / pytorch-rdpg
  PyTorch Implementation of the RDPG (Recurrent Deterministic Policy Gradient)
  ☆53Updated last year
• mcgillmrl / prob_mbrl
  A library of probabilistic model based RL algorithms in pytorch
  ☆107Updated 3 years ago
• ermongroup / CalibratedModelBasedRL
  Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.
  ☆54Updated 5 years ago
• WilsonWangTHU / POPLIN
  ☆97Updated last year
• jvmncs / ParamNoise
  A comparison of parameter space noise methods for exploration in deep reinforcement learning
  ☆27Updated 5 years ago
• localminimum / hindsight-experience-replay
  Hindsight Experience Replay - Bit flipping experiment in Tensorflow
  ☆58Updated 6 years ago
• ahq1993 / inverse_rl
  Adversarial Imitation Via Variational Inverse Reinforcement Learning
  ☆95Updated 4 years ago
• maximilianigl / DVRL
  Deep Variational Reinforcement Learning
  ☆134Updated 2 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…
  ☆35Updated 5 years ago
• ermongroup / multiagent-gail
  ☆82Updated 5 years ago
• llan-ml / tesp
  Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"
  ☆33Updated 5 years ago
• megvii-research / pytorch-gym
  Implementation of the Deep Deterministic Policy Gradient(DDPG) in bullet Gym using pytorch
  ☆41Updated 6 years ago
• implementation-matters / code-for-paper
  ☆106Updated 4 years ago
• YuhangSong / DEHRL
  Diversity−Driven Extensible Hierarchical Reinforcement Learning. AAAI 2019.
  ☆48Updated 5 years ago
• ASzot / ppo-pytorch
  Proximal policy optimization in PyTorch. Easy to read and understand.
  ☆48Updated 4 years ago
• xlnwel / model-free-algorithms
  TD3, SAC, IQN, Rainbow, PPO, Ape-X and etc. in TF1.x
  ☆61Updated 3 years ago