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 4 years ago
• tianjunz / MADE
  ☆19Updated 4 years ago
• Kaixhin / GUDRL
  Generalised UDRL
  ☆37Updated 3 years ago
• ravi-lanka-4 / CoPiEr
  Co-training for Policy Learning
  ☆13Updated 6 years ago
• dnishio / DSAC
  The implementation of Discriminator Soft Actor Critic
  ☆15Updated 5 years ago
• atavakol / action-hypergraph-networks
  (ICLR 2021) Learning to Represent Action Values as a Hypergraph on the Action Vertices
  ☆23Updated 4 years ago
• TrentBrick / RewardConditionedUDRL
  Open source code combining implementations of Upside Down Reinforcement Learning and Reward Conditioned Policies
  ☆18Updated 4 years ago
• zwfightzw / Meta-Critic
  ☆11Updated 4 years ago
• facebookresearch / ssorl
  Semi-Supervised Offline Reinforcement Learning with Action-Free Trajectories
  ☆42Updated 2 years ago
• joelouismarino / variational_rl
  Variational Reinforcement Learning
  ☆16Updated last year
• StanfordVL / causal_induction
  Codebase for "Causal Induction from Visual Observations for Goal-Directed Tasks"
  ☆13Updated 5 years ago
• montrealrobotics / iv_rl
  IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation
  ☆40Updated last month
• geyang / plan2vec
  Public Release of Plan2vec Implementation in pyTorch
  ☆57Updated 2 years ago
• ermongroup / CalibratedModelBasedRL
  Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.
  ☆55Updated 6 years ago
• philipjball / ReadyPolicyOne
  🔍 Codebase for the ICML '20 paper "Ready Policy One: World Building Through Active Learning" (arxiv: 2002.02693)
  ☆18Updated 2 years ago
• Stanford-ILIAD / Conventions-ModularPolicy
  PyTorch implementation for "On the Critical Role of Conventions in Adaptive Human-AI Collaboration", ICLR 2021
  ☆16Updated 4 years ago
• nesl / Time-in-State-RL
  Sim2Real Transfer for Deep Reinforcement Learning with Stochastic State Transition Delays, CORL-2020.
  ☆25Updated 4 years ago
• mila-iqia / Conscious-Planning
  Implementation for paper "A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning".
  ☆58Updated 11 months ago
• Mehooz / BIRD_code
  Code for paper "Bridging Imagination and Reality for Model-Based Deep Reinforcement Learning".
  ☆14Updated 4 years ago
• YyzHarry / SV-RL
  [ICLR 2020, Oral] Harnessing Structures for Value-Based Planning and Reinforcement Learning
  ☆34Updated 5 years ago
• jimimvp / torch_rl
  Reinforcement learning library for PyTorch.
  ☆11Updated 7 years ago
• orybkin / video-gcp
  Repository for the paper "Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors"
  ☆45Updated 2 years ago
• ServiceNow / avenue
  Avenue is a simulator designed to test and prototype reinforcement learning algorithms. Avenue is a ServiceNow Research project that was …
  ☆14Updated 3 years ago
• jannerm / gamma-models
  Code for the paper "Gamma-Models: Generative Temporal Difference Learning for Infinite-Horizon Prediction"
  ☆44Updated last year
• behaviorguidedRL / BGRL
  Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization
  ☆24Updated 5 years ago
• two2tee / WorldModelPlanning
  ☆16Updated 4 years ago
• shamanez / VUSFA-Variational-Universal-Successor-Features-Approximator
  This repository contains implementations of the paper VUSFA
  ☆14Updated 4 years ago
• MIT-REALM / dcrl
  Density Constrained Reinforcement Learning
  ☆12Updated 2 years ago
• ermongroup / MetaIRL
  Meta-Inverse Reinforcement Learning with Probabilistic Context Variables
  ☆73Updated 2 years ago
• willwhitney / dynamics-aware-embeddings
  Official implementation of DynE, Dynamics-aware Embeddings for RL
  ☆43Updated 4 years ago