zhihanyang2022 / off-policy-continuous-control

Related projects ⓘ

Alternatives and complementary repositories for off-policy-continuous-control

• eugenevinitsky / robust_RL_multi_adversary
  We investigate the effect of populations on finding good solutions to the robust MDP
  ☆28Updated 3 years ago
• schatty / oprl
  A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing
  ☆132Updated 3 months ago
• MarcoMeter / recurrent-ppo-truncated-bptt
  Baseline implementation of recurrent PPO using truncated BPTT
  ☆123Updated 6 months ago
• watchernyu / REDQ
  Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.
  ☆150Updated 2 weeks ago
• danielwillemsen / MAMBPO
  DecentralizedLearning
  ☆21Updated last year
• TakuyaHiraoka / Dropout-Q-Functions-for-Doubly-Efficient-Reinforcement-Learning
  Source files to replicate experiments in my ICLR 2022 paper.
  ☆61Updated 4 months ago
• Mee321 / policy-distillation
  ☆13Updated 4 years ago
• alirezakazemipour / PPO-RND
  Random network distillation on Montezuma's Revenge and Super Mario Bros.
  ☆43Updated last year
• SamsungLabs / tqc_pytorch
  Implementation of Truncated Quantile Critics method for continuous reinforcement learning. https://bayesgroup.github.io/tqc/
  ☆90Updated 3 years ago
• lweitkamp / feudalnets-pytorch
  PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.
  ☆36Updated 4 years ago
• liuzuxin / safe-mbrl
  Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method
  ☆62Updated last year
• hari-sikchi / AWAC
  Advantage weighted Actor Critic for Offline RL
  ☆47Updated 2 years ago
• LinghengMeng / LSTM-TD3
  The implementation of LSTM-TD3.
  ☆62Updated last year
• siekmanj / r2l
  Recurrent continuous reinforcement learning algorithms implemented in Pytorch.
  ☆50Updated 3 years ago
• toshikwa / soft-actor-critic.pytorch
  PyTorch implementation of Soft Actor-Critic(SAC).
  ☆98Updated 4 years ago
• sfujim / TD7
  Author's PyTorch implementation of TD7 for online and offline RL
  ☆114Updated last year
• hejia-zhang / awesome-model-based-reinforcement-learning
  A curated list of awesome Model-based reinforcement learning resources
  ☆90Updated 4 years ago
• montaserFath / BCO
  behavior cloning from observation
  ☆35Updated 3 years ago
• cross32768 / PlaNet_PyTorch
  Unofficial re-implementation of "Learning Latent Dynamics for Planning from Pixels" (https://arxiv.org/abs/1811.04551 ) with PyTorch
  ☆43Updated 4 years ago
• rmst / rlrd
  PyTorch implementation of our paper Reinforcement Learning with Random Delays (ICLR 2020)
  ☆38Updated 2 years ago
• xtma / dsac
  Distributional Soft Actor Critic
  ☆49Updated 4 years ago
• Dragon-Zhuang / BPPO
  Author's Pytorch implementation of ICLR2023 paper Behavior Proximal Policy Optimization (BPPO).
  ☆72Updated 10 months ago
• martius-lab / pink-noise-rl
  ☆37Updated last year
• YYCAAA / V-MPO_Lunarlander
  Simple implementation of V-MPO proposed in https://arxiv.org/abs/1909.12238
  ☆44Updated 4 years ago
• d3sm0 / gym_pomdp
  Gym-like extensions for POMDP
  ☆55Updated 3 years ago
• Neo-X / SMiRL_Code
  ☆18Updated last year
• alversafa / option-critic-arch
  Implementation of the Option-Critic Architecture
  ☆36Updated 5 years ago
• BlueFisher / Advanced-Soft-Actor-Critic
  Soft Actor-Critic with advanced features
  ☆47Updated last month
• dkkim93 / meta-mapg
  Source code for "A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning" (ICML 2021)
  ☆32Updated 2 years ago
• lweitkamp / option-critic-pytorch
  PyTorch implementation of the Option-Critic framework, Harb et al. 2016
  ☆117Updated 3 months ago