Alternatives and similar repositories for rl_atari_pytorch

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

• adithya-subramanian / Multi_Agent_Soft_Actor_Critic
  A Pytorch Implementation of Multi Agent Soft Actor Critic
  ☆40Updated 6 years ago
• cardwing / Codes-for-RL-PER
  A novel DDPG method with prioritized experience replay (IEEE SMC 2017)
  ☆50Updated 6 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…
  ☆31Updated 2 years ago
• rhoowd / sched_net
  ☆85Updated 3 years ago
• rosewang2008 / rmaddpg
  ICML 2019 RL for Real Life Workshop: Recurrent MADDPG for Partially Observable and Limited Communication Settings
  ☆48Updated 5 years ago
• YangShengqi / cartpole_ppo_lstm
  ☆13Updated 5 years ago
• starry-sky6688 / DyMA-CL
  Implementation of DyMA-CL, MARL algorithm
  ☆27Updated 5 years ago
• baimingc / delay-aware-MARL
  Codes for Paper "Delay-Aware Multi-Agent Reinforcement Learning".
  ☆53Updated 4 years ago
• xuemei-ye / maddpg-mpe
  Transplant a implementation of MADDPG to the environment provided by openAI (multiagent-particle-envs).
  ☆21Updated 4 years ago
• TianhongDai / distributed-ppo
  This is an pytorch implementation of Distributed Proximal Policy Optimization(DPPO).
  ☆62Updated 6 years ago
• namidairo777 / Distributed-MADDPG
  Distributed Multi-Agent Cooperation Algorithm based on MADDPG with prioritized batch data.
  ☆105Updated 4 years ago
• alirezakazemipour / Discrete-SAC-PyTorch
  PyTorch implementation of discrete version of Soft Actor-Critic.
  ☆35Updated 3 years ago
• kikojay / EMC
  The code for paper, "Episodic Multi-agent Reinforcement Learning with Curiosity-driven Exploration", NeurIPS 2021.
  ☆40Updated 2 years ago
• SJTUwbl / ATOC
  an implementation of ATOC
  ☆14Updated 3 years ago
• nicoring / rec-maddpg
  Decentralized deep multi-agent reinforcement learning in physical environments.
  ☆14Updated 6 years ago
• Jonathan-Pearce / DDPG_PER
  Implementation of Deep Deterministic Policy Gradient (DDPG) with Prioritized Experience Replay (PER)
  ☆51Updated 4 months ago
• bdvllrs / marl-patrolling-agents
  Project on multi agent reinforcement learning applied on patrolling agents
  ☆39Updated 5 years ago
• skumar9876 / Hierarchical-DQN
  Implementation of the paper Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation - https:/…
  ☆86Updated 7 years ago
• Sonkyunghwan / QTRAN
  There will be updates later
  ☆85Updated 6 years ago
• sumitsk / marl_transfer
  Code for paper 'Learning transferable cooperative behaviors in multi-agent teams' (ICML 2019)
  ☆114Updated 2 years ago
• sisl / DICG
  Deep Implicit Coordination Graphs
  ☆41Updated last year
• dadadidodi / m3ddpg
  ☆52Updated 6 years ago
• tuladhay / ATOC_COMA_PyTorch
  ☆22Updated 6 years ago
• Amanda2024 / GCS_aamas337
  The code for AAMAS2022 《GCS: Graph-based Coordination Strategy for Multi-Agent Reinforcement Learning》
  ☆41Updated 3 years ago
• ling-pan / SD3
  ☆60Updated 4 years ago
• qian18long / epciclr2020
  ☆121Updated 2 years ago
• Abluceli / Multi-agent-Reinforcement-Learning-Algorithms
  Multi-agent Reinforcement Learning Algorithms(COMA, VDN, QMIX)
  ☆15Updated 5 years ago
• MAS-anony / ASN
  ☆32Updated 2 years ago
• XuJing1022 / HiT-MAC
  This repository is the official implementation of Learning Multi-Agent Coordination for Enhancing Target Coverage in Directional Sensor N…
  ☆45Updated 4 years ago
• PKU-RL / I2C
  ☆44Updated 3 years ago