HaiyinPiao / pytorch-a2clstm-DRQN

Related projects ⓘ

Alternatives and complementary repositories for pytorch-a2clstm-DRQN

• adithya-subramanian / Multi_Agent_Soft_Actor_Critic
  A Pytorch Implementation of Multi Agent Soft Actor Critic
  ☆35Updated 5 years ago
• watakandai / hiro_pytorch
  Implementation of HIRO (Data-Efficient Hierarchical Reinforcement Learning)
  ☆96Updated 3 years ago
• Bigpig4396 / PyTorch-Deep-Recurrent-Q-Learning-DRQN
  ☆41Updated 5 years ago
• quantumiracle / Benchmark-Efficient-Reinforcement-Learning-with-Demonstrations
  Benchmark present methods for efficient reinforcement learning. Methods include Reptile, MAML, Residual Policy, etc. RL algorithms includ…
  ☆27Updated last year
• rosewang2008 / rmaddpg
  ICML 2019 RL for Real Life Workshop: Recurrent MADDPG for Partially Observable and Limited Communication Settings
  ☆40Updated 4 years ago
• orrivlin / Navigation-HER
  2D Gridworld navigation using RL with Hindsight Experience Replay
  ☆43Updated 5 years ago
• Jonathan-Pearce / DDPG_PER
  Implementation of Deep Deterministic Policy Gradient (DDPG) with Prioritized Experience Replay (PER)
  ☆45Updated 4 years ago
• YangRui2015 / Sparse-Reward-Algorithms
  Implement many Sparse Reward algorithms in Gym Fetch environment
  ☆82Updated 4 years ago
• lweitkamp / feudalnets-pytorch
  PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.
  ☆38Updated 4 years ago
• rpatrik96 / AttA2C
  Attention-based Curiosity-driven Exploration in Deep Reinforcement Learning
  ☆25Updated 4 years ago
• shariqiqbal2810 / REFIL
  Code for "Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning" ICML 2021
  ☆62Updated 3 years ago
• lineCode / rl_atari_pytorch
  ReinforcementLearning Learn Play Atari Using DDPG and LSTM.
  ☆20Updated 7 years ago
• Sonkyunghwan / QTRAN
  There will be updates later
  ☆82Updated 5 years ago
• IouJenLiu / CMAE
  ☆44Updated 3 years ago
• dadadidodi / m3ddpg
  ☆48Updated 5 years ago
• kikojay / EMC
  The code for paper, "Episodic Multi-agent Reinforcement Learning with Curiosity-driven Exploration", NeurIPS 2021.
  ☆39Updated last year
• LinghengMeng / LSTM-TD3
  The implementation of LSTM-TD3.
  ☆64Updated last year
• SJTUwbl / ATOC
  an implementation of ATOC
  ☆14Updated 2 years ago
• Jingliang-Duan / DSAC-v1
  DSAC; Distributional Soft Actor-Critic
  ☆113Updated 9 months ago
• zhihanyang2022 / off-policy-continuous-control
  Official PyTorch code for "Recurrent Off-policy Baselines for Memory-based Continuous Control" (DeepRL Workshop, NeurIPS 21)
  ☆79Updated last year
• keep9oing / DRQN-Pytorch-CartPole-v1
  Deep recurrent Q learning on CartPole-v1 environment
  ☆75Updated 10 months ago
• 011235813 / hierarchical-marl
  Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery
  ☆96Updated 2 years ago
• feidieufo / homework
  Assignments for CS294-112.
  ☆30Updated 5 years ago
• Felhof / DiscreteSAC
  ☆39Updated 3 years ago
• matteokarldonati / Counterfactual-Multi-Agent-Policy-Gradients
  PyTorch implementation of Foerster, Jakob N., et al. "Counterfactual multi-agent policy gradients."
  ☆52Updated 4 years ago
• chauncygu / Multi-Agent-Constrained-Policy-Optimisation
  Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).
  ☆146Updated 7 months ago
• schneimo / ddpg-pytorch
  PyTorch implementation of DDPG for continuous control tasks.
  ☆44Updated 4 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 last year
• itsTAMART / UAV-RL-environment
  A simple and fast 2D RL environment with obstacles to learn navigation.
  ☆18Updated 5 years ago
• danielwillemsen / MAMBPO
  DecentralizedLearning
  ☆21Updated last year