Alternatives and similar repositories for multiagent-prediction-reward:

Users that are interested in multiagent-prediction-reward are comparing it to the libraries listed below

• laurimi / npgi
  Non-linear policy graph improvement - planning for Dec-POMDPs
  ☆16Updated 3 years ago
• Kaixhin / GUDRL
  Generalised UDRL
  ☆37Updated 2 years ago
• tianjunz / MADE
  ☆19Updated 3 years ago
• joelouismarino / variational_rl
  Variational Reinforcement Learning
  ☆16Updated 6 months ago
• ben-eysenbach / mnm
  Code to accompany the paper "Mismatched No More: Joint Model-Policy Optimization for Model-Based RL"
  ☆21Updated 3 years ago
• TrentBrick / RewardConditionedUDRL
  Open source code combining implementations of Upside Down Reinforcement Learning and Reward Conditioned Policies
  ☆18Updated 3 years ago
• PeideHuang / gradient
  Code base for NeurIPS 2022 paper Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation.
  ☆9Updated last year
• behaviorguidedRL / BGRL
  Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization
  ☆24Updated 4 years ago
• two2tee / WorldModelPlanning
  ☆16Updated 3 years ago
• hari-sikchi / LOOP
  Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]
  ☆36Updated 2 years ago
• zwfightzw / Meta-Critic
  ☆9Updated 4 years ago
• uber-research / D3G
  Estimating Q(s,s') with Deep Deterministic Dynamics Gradients
  ☆32Updated 4 years ago
• YyzHarry / SV-RL
  [ICLR 2020, Oral] Harnessing Structures for Value-Based Planning and Reinforcement Learning
  ☆33Updated 4 years ago
• atavakol / action-hypergraph-networks
  (ICLR 2021) Learning to Represent Action Values as a Hypergraph on the Action Vertices
  ☆21Updated 3 years ago
• thomasrantian / Awesome-Inverse-Reinforcement-Learning
  Literature and code for inverse reinforcement leanring research
  ☆25Updated 4 years ago
• xingchenwan / bgpbt
  [AutoML'22] Bayesian Generational Population-based Training (BG-PBT)
  ☆26Updated 2 years ago
• KyunghyunLee / aes-rl
  ☆17Updated 4 years ago
• montrealrobotics / iv_rl
  IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation
  ☆38Updated 3 months ago
• yudasong / briee
  Representation Learning in RL
  ☆16Updated 2 years ago
• Stanford-ILIAD / Conventions-ModularPolicy
  PyTorch implementation for "On the Critical Role of Conventions in Adaptive Human-AI Collaboration", ICLR 2021
  ☆16Updated 3 years ago
• geyang / plan2vec
  Public Release of Plan2vec Implementation in pyTorch
  ☆56Updated 2 years ago
• dnishio / DSAC
  The implementation of Discriminator Soft Actor Critic
  ☆14Updated 5 years ago
• Riashat / Bayesian-Exploration-Deep-RL
  Bayesian Uncertainty Exploration in Deep Reinforcement Learning
  ☆18Updated 7 years ago
• ermongroup / CalibratedModelBasedRL
  Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.
  ☆55Updated 5 years ago
• llan-ml / tesp
  Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"
  ☆34Updated 5 years ago
• kschweig / OfflineRL
  Experiment for Understanding the Effects of Dataset Characteristics on Offline Reinforcement Learning
  ☆24Updated 2 years ago
• ben-eysenbach / info_geometry
  Code to accompany the paper "The Information Geometry of Unsupervised Reinforcement Learning"
  ☆20Updated 3 years ago
• sahandrez / homomorphic_policy_gradient
  Author's PyTorch Implementation of Deep Homomorphic Policy Gradient (DHPG) - NeurIPS 2022 and JMLR 2024
  ☆22Updated 9 months ago
• johannesnauta / pytorch-pne
  PyTorch implementation of Probabilistic Network Ensembles on toy problems
  ☆23Updated last year
• haoliuhl / taming-maml
  Taming MAML: efficient unbiased meta-reinforcement learning
  ☆29Updated 2 years ago