sanketloke / dlmultiagentsoccer

Related projects: ⓘ

• HumanCompatibleAI / population-irl
  (Experimental) Inverse reinforcement learning from trajectories generated by multiple agents with different (but correlated) rewards
  ☆25Updated 5 years ago
• rrti / maxq
  hierarchical Q-learning implementation
  ☆11Updated 9 years ago
• cathywu / rllab-multiagent
  ☆11Updated last year
• krasheninnikov / max-causal-ent-irl
  Maximum Causal Entropy Inverse Reinforcement Learning
  ☆43Updated 5 years ago
• Riashat / Bayesian-Exploration-Deep-RL
  Bayesian Uncertainty Exploration in Deep Reinforcement Learning
  ☆17Updated 7 years ago
• rommeoijcai2019 / rommeo
  IJCAI 2019 - Regularized Opponent Model with Maximum Entropy Objective (ROMMEO)
  ☆23Updated last year
• ying-wen / malib_deprecated
  A Multi-agent Learning Framework
  ☆61Updated 3 years ago
• PKU-RL / FEN
  FEN Code
  ☆36Updated 4 years ago
• hungtuchen / pytorch-hdqn
  Hierarchical-DQN in pytorch (not actively maintained)
  ☆65Updated 7 years ago
• ewanlee / ICLR2019-RL-Papers
  The Reinforcement-Learning-Related Papers of ICLR 2019
  ☆48Updated 5 years ago
• navneet-nmk / Hierarchical-Meta-Reinforcement-Learning
  This repository contains the implementation for the paper - Exploration via Hierarchical Meta Reinforcement Learning.
  ☆60Updated 5 years ago
• llan-ml / tesp
  Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"
  ☆33Updated 5 years ago
• wulfebw / hierarchical_rl
  hierarchical deep reinforcement learning algorithms
  ☆41Updated 6 years ago
• arushijain94 / SafeOptionCritic
  Safe Option-Critic: Learning Safety in the Option-Critic Architecture
  ☆18Updated 5 years ago
• DuaneNielsen / rnd
  Exploration by Random Network Distillation
  ☆16Updated 5 years ago
• wendelinboehmer / dcg
  ☆69Updated 3 months ago
• nanxintin / deep-reinforcement-learning
  Reinforcement Learning and Deep Learning Resources
  ☆16Updated 6 years ago
• gjp1203 / nui_in_madrl
  Negative Update Intervals in Multi-Agent Deep Reinforcement Learning
  ☆32Updated 5 years ago
• tdavchev / option-critic
  A Tensorflow implementation of the Option-Critic Architecture
  ☆71Updated 7 years ago
• tjuHaoXiaotian / GASIL
  Independent Generative Adversarial Self-Imitation Learning In Cooperative Multiagent Systems
  ☆31Updated 5 years ago
• jqueeney / geppo
  Generalized Proximal Policy Optimization with Sample Reuse (GePPO)
  ☆19Updated last year
• TomZahavy / GrayingTheBox
  Code implementation of: "Graying the black box: Understanding DQNs"
  ☆19Updated 7 years ago
• apsdehal / ic3net-envs
  Environments with IC3Net paper
  ☆12Updated 5 years ago
• lcalem / reproduction-soft-qlearning-mutual-information
  Reproduction of the paper "Soft Q-Learning with Mutual Information Regularization" CoRL 2019.
  ☆9Updated 5 years ago
• wyjung0625 / p3s
  Implementation of Population-Guided Parallel Policy Search for Reinforcement Learning
  ☆22Updated 4 years ago
• dnddnjs / feudal-montezuma
  Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge
  ☆92Updated 2 years ago
• root-master / unified-hrl
  Unified Model-Free Hierarchical Reinforcement Learning Framework
  ☆37Updated 5 years ago
• kazizzad / BDQN-MxNet-Gluon
  Efficient Exploration through Bayesian Deep Q-Networks
  ☆35Updated 6 years ago
• 0b01 / CommNet
  PyTorch implementation of CommNet
  ☆36Updated 6 years ago
• djstrouse / InfoMARL
  using information theory to encourage agents to cooperate and compete
  ☆19Updated 5 years ago