Alternatives and similar repositories for attentive-multi-task-deep-reinforcement-learning:

Users that are interested in attentive-multi-task-deep-reinforcement-learning are comparing it to the libraries listed below

• ciwang / policydistillation
  Reproducing Policy Distillation (DeepMind paper ICLR 2016)
  ☆22Updated 5 years ago
• llan-ml / tesp
  Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"
  ☆34Updated 5 years ago
• QDPP-GitHub / QDPP
  Multi-Agent Determinantal Q-Learning
  ☆42Updated 2 years ago
• Hwhitetooth / lirpg
  ☆61Updated 6 years ago
• krasheninnikov / max-causal-ent-irl
  Maximum Causal Entropy Inverse Reinforcement Learning
  ☆47Updated 6 years ago
• carloderamo / shared
  ☆29Updated 3 years ago
• TianhongDai / distributed-ppo
  This is an pytorch implementation of Distributed Proximal Policy Optimization(DPPO).
  ☆62Updated 6 years ago
• gjp1203 / nui_in_madrl
  Negative Update Intervals in Multi-Agent Deep Reinforcement Learning
  ☆33Updated 5 years ago
• HumanCompatibleAI / population-irl
  (Experimental) Inverse reinforcement learning from trajectories generated by multiple agents with different (but correlated) rewards
  ☆28Updated 5 years ago
• TonghanWang / DOP
  Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)
  ☆52Updated 2 years ago
• root-master / unified-hrl
  Unified Model-Free Hierarchical Reinforcement Learning Framework
  ☆37Updated 6 years ago
• Knoxantropicen / model-based-meta-rl
  Self-implemented code for Model-Based Meta-Reinforcement Learning
  ☆17Updated 5 years ago
• hungtuchen / pytorch-hdqn
  Hierarchical-DQN in pytorch (not actively maintained)
  ☆70Updated 7 years ago
• lweitkamp / feudalnets-pytorch
  PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.
  ☆39Updated 4 years ago
• YuhangSong / DEHRL
  Diversity−Driven Extensible Hierarchical Reinforcement Learning. AAAI 2019.
  ☆48Updated 6 years ago
• rraileanu / idaac
  ☆53Updated last year
• eugenevinitsky / robust_RL_multi_adversary
  We investigate the effect of populations on finding good solutions to the robust MDP
  ☆28Updated 4 years ago
• yalidu / liir
  Learning Individual Intrinsic Reward in MARL
  ☆62Updated 2 years ago
• david1309 / Multi_Task_RL
  Project exploring Multi Task Deep Reinforcement Learning neural network architectures and algorithms with Open AI Gym and TensorFlow
  ☆17Updated 6 years ago
• wsjeon / multiagent-gail
  multiagent-gail working with multiagent-particle-env-v2 (which was modified by magail authors)
  ☆11Updated 5 years ago
• lineCode / rl_atari_pytorch
  ReinforcementLearning Learn Play Atari Using DDPG and LSTM.
  ☆20Updated 7 years ago
• IouJenLiu / PIC
  PIC: Permutation Invariant Critic for Multi-Agent Deep Reinforcement Learning
  ☆49Updated 3 years ago
• wendelinboehmer / dcg
  ☆75Updated 10 months ago
• mengf1 / DHER
  DHER: Hindsight Experience Replay for Dynamic Goals (ICLR-2019)
  ☆66Updated 5 years ago
• ruizhaogit / mep
  Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)
  ☆23Updated 5 years ago
• adithya-subramanian / Multi_Agent_Soft_Actor_Critic
  A Pytorch Implementation of Multi Agent Soft Actor Critic
  ☆40Updated 6 years ago
• ajgupta93 / d4pg-pytorch
  In Progress : State of the art Distributed Distributional Deep Deterministic Policy Gradient algorithm implementation in pytorch.
  ☆19Updated 6 years ago
• mengf1 / CHER
  Curriculum-guided Hindsight Experience Replay (NeurIPS-2019)
  ☆63Updated 5 years ago
• kristery / Imitation-Learning-from-Imperfect-Demonstration
  [ICML 2019] Implementation of "Imitation Learning from Imperfect Demonstration"
  ☆47Updated 5 years ago
• ermongroup / multiagent-gail
  ☆84Updated 6 years ago