Alternatives and similar repositories for DDPG_MountainCar

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

• Jonathan-Pearce / DDPG_PER
  Implementation of Deep Deterministic Policy Gradient (DDPG) with Prioritized Experience Replay (PER)
  ☆51Updated 3 months ago
• ZhongZ-Wang / Model-Based-RL
  这是一个关于基于模型的强化学习的资料，包括一些代码地址、paper、slide等。
  ☆43Updated 4 years ago
• xtma / dsac
  Distributional Soft Actor Critic
  ☆53Updated 5 years ago
• LinghengMeng / LSTM-TD3
  The implementation of LSTM-TD3.
  ☆81Updated 2 years ago
• watakandai / hiro_pytorch
  Implementation of HIRO (Data-Efficient Hierarchical Reinforcement Learning)
  ☆110Updated 4 years ago
• alirezakazemipour / Discrete-SAC-PyTorch
  PyTorch implementation of discrete version of Soft Actor-Critic.
  ☆34Updated 3 years ago
• ac-93 / soft-actor-critic
  Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.
  ☆96Updated 4 years ago
• zlr20 / saferl_kit
  ☆74Updated last year
• msinto93 / D4PG
  Tensorflow implementation of a Deep Distributed Distributional Deterministic Policy Gradients (D4PG) network, trained on OpenAI Gym envir…
  ☆125Updated 5 years ago
• schatty / oprl
  A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing
  ☆133Updated 10 months ago
• AlgTUDelft / WCSAC
  Code for the paper "WCSAC: Worst-Case Soft Actor Critic for Safety-Constrained Reinforcement Learning"
  ☆55Updated last year
• SaminYeasar / Off_Policy_Adversarial_Inverse_Reinforcement_Learning
  Implementation of Off Policy Adversarial Inverse Reinforcement Learning
  ☆23Updated 4 years ago
• jsztompka / MultiAgent-PPO
  Proximal Policy Optimization with Beta distribution - uses multi agent Unity ML Tennis
  ☆29Updated 6 years ago
• YangShengqi / cartpole_ppo_lstm
  ☆13Updated 5 years ago
• deligentfool / GAIL_pytorch
  The implement of GAIL with pytorch
  ☆14Updated 5 years ago
• Stepan-Makarenko / ICM-PPO-implementation
  Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM) on Pyramid env, Unity ML
  ☆18Updated last year
• hejia-zhang / awesome-model-based-reinforcement-learning
  A curated list of awesome Model-based reinforcement learning resources
  ☆93Updated 4 years ago
• Johnny-Zhang92 / IRL-Essential-Code
  Generate expert demonstrations; GAIL(Generative Adversarial Imitation Learning); IRL(Inverse Reinforcement Learning)
  ☆33Updated 3 years ago
• AgrawalAmey / safe-explorer
  Pytorch implementation of "Safe Exploration in Continuous Action Spaces" [Dalal et al.]
  ☆72Updated 6 years ago
• Bigpig4396 / PyTorch-Deep-Recurrent-Q-Learning-DRQN
  ☆41Updated 5 years ago
• StepNeverStop / RLwithUnity
  Reinforcement Leanring Algorithms Trained with Unity
  ☆14Updated 6 years ago
• keep9oing / DRQN-Pytorch-CartPole-v1
  Deep recurrent Q learning on CartPole-v1 environment
  ☆91Updated last year
• TianhongDai / distributed-ppo
  This is an pytorch implementation of Distributed Proximal Policy Optimization(DPPO).
  ☆62Updated 6 years ago
• adithya-subramanian / Multi_Agent_Soft_Actor_Critic
  A Pytorch Implementation of Multi Agent Soft Actor Critic
  ☆40Updated 6 years ago
• toshikwa / soft-actor-critic.pytorch
  PyTorch implementation of Soft Actor-Critic(SAC).
  ☆103Updated 4 years ago
• Jingliang-Duan / DSAC-v1
  DSAC; Distributional Soft Actor-Critic
  ☆127Updated 3 months ago
• thomashirtz / gym-hybrid
  Collection of OpenAI parametrized action-space environments.
  ☆65Updated 2 months ago
• HaiyinPiao / pytorch-a2clstm-DRQN
  using recurrent networks(LSTM) to solve POMDPs
  ☆35Updated 6 years ago
• HuangJiaLian / AIRL_MountainCar
  Adversarial Inverse Reinforcement Learning Implement For Mountain Car
  ☆36Updated 3 years ago
• navuboy / gail_gym
  Implementation of Generatve Adversarial Imitation Learning (GAIL) for classic environments from OpenAI Gym.
  ☆89Updated 6 years ago