Alternatives and similar repositories for DvD_ES

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

• rraileanu / idaac
  ☆54Updated last year
• TonghanWang / DOP
  Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)
  ☆50Updated 2 years ago
• sfujim / LAP-PAL
  Author's PyTorch implementation of LAP and PAL with TD3 and DDQN
  ☆37Updated 3 years ago
• eugenevinitsky / robust_RL_multi_adversary
  We investigate the effect of populations on finding good solutions to the robust MDP
  ☆28Updated 4 years ago
• ruizhaogit / maximum_entropy_population_based_training
  Maximum Entropy Population Based Training for Zero-Shot Human-AI Coordination
  ☆26Updated 2 years ago
• behaviorguidedRL / BGRL
  Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization
  ☆24Updated 5 years ago
• diversepsro / diverse_psro
  ☆20Updated 4 years ago
• rraileanu / policy-dynamics-value-functions
  ☆33Updated last year
• lns / dapo
  Source code for the paper "Divergence-Augmented Policy Optimization"
  ☆37Updated 5 years ago
• tesslerc / GAC
  Code accompanying NeurIPS 2019 paper: "Distributional Policy Optimization - An Alternative Approach for Continuous Control"
  ☆22Updated 5 years ago
• montrealrobotics / iv_rl
  IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation
  ☆40Updated 4 months ago
• gyh75520 / Relational_DRL
  Implementation of Relational Deep Reinforcement Learning
  ☆25Updated 5 years ago
• YYCAAA / V-MPO_Lunarlander
  Simple implementation of V-MPO proposed in https://arxiv.org/abs/1909.12238
  ☆48Updated 5 years ago
• wyjung0625 / p3s
  Implementation of Population-Guided Parallel Policy Search for Reinforcement Learning
  ☆22Updated 5 years ago
• junjungoal / IMPALA-pytorch
  PyTorch IMPALA implementation
  ☆27Updated 6 years ago
• waterhorse1 / NAC
  (NeurIPS 2021) Neural Auto-Curricula in Two-Player Zero-Sum Games.
  ☆28Updated 3 years ago
• ying-wen / malib_deprecated
  A Multi-agent Learning Framework
  ☆62Updated 4 years ago
• uoe-agents / derl
  The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)
  ☆27Updated 3 years ago
• apexrl / bmpo
  Implementation of ICML2020 paper <Bidirectional Model-based Policy Optimization>
  ☆23Updated 2 years ago
• uber-research / D3G
  Estimating Q(s,s') with Deep Deterministic Dynamics Gradients
  ☆32Updated 5 years ago
• tedmoskovitz / TOP
  Implementation of Tactical Optimistic and Pessimistic value estimation
  ☆25Updated 2 years ago
• WilsonWangTHU / POPLIN
  ☆99Updated 2 years ago
• qlan3 / Explorer
  Explorer is a PyTorch reinforcement learning framework for exploring new ideas.
  ☆97Updated 5 months ago
• alirezakazemipour / PPO-RND
  Random network distillation on Montezuma's Revenge and Super Mario Bros.
  ☆52Updated 6 months ago
• jesbu1 / hidio
  Github repo for HIDIO: Hierarchical Reinforcement Learning by Discovering Intrinsic Options
  ☆46Updated 3 years ago
• apexrl / COIL
  Code for NeurIPS 2021 paper "Curriculum Offline Imitation Learning"
  ☆18Updated 3 years ago
• RockySJ / ampo
  ☆15Updated 5 years ago
• SwapnilPande / MOReL
  Model-Based Offline Reinforcement Learning
  ☆51Updated 4 years ago
• YuhangSong / Arena-Baselines
  Arena: A General Evaluation Platform and Building Toolkit for Single/Multi-Agent Intelligence. AAAI 2020.
  ☆103Updated 8 months ago
• facebookresearch / level-replay
  This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …
  ☆92Updated 4 years ago