TARTRL / TiZero

Related projects ⓘ

Alternatives and complementary repositories for TiZero

• yuchen-x / MacroMARL
  ☆21Updated 7 months ago
• uoe-agents / derl
  The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)
  ☆26Updated 2 years ago
• martius-lab / pink-noise-rl
  ☆38Updated last year
• jsikyoon / V-MPO_torch
  V-MPO torch version with DMLab30 and GTrXL
  ☆12Updated 3 years ago
• uoe-agents / MATE
  Learning Task Embeddings for Teamwork Adaptation in Multi-Agent Reinforcement Learning
  ☆11Updated 6 months ago
• ruizhaogit / maximum_entropy_population_based_training
  Maximum Entropy Population Based Training for Zero-Shot Human-AI Coordination
  ☆25Updated last year
• jiayu-ch15 / Variational-Automatic-Curriculum-Learning
  curriculum
  ☆20Updated last year
• Neo-X / SMiRL_Code
  ☆18Updated 2 years ago
• apexrl / CoDAIL
  Implementation of CoDAIL in the ICLR 2020 paper <Multi-Agent Interactions Modeling with Correlated Policies>
  ☆18Updated 3 years ago
• alec-tschantz / vime
  VIME: Variational Information Maximizing Exploration
  ☆9Updated 4 years ago
• sail-sg / rosmo
  Codes for "Efficient Offline Policy Optimization with a Learned Model", ICLR2023
  ☆28Updated last year
• koulanurag / dream-and-search
  Code for "Dream and Search to Control: Latent Space Planning for Continuous Control"
  ☆10Updated 3 years ago
• sparisi / cbet
  Change-Based Exploration Transfer
  ☆36Updated 2 years ago
• aluscher / torchbeastpopart
  Deep Learning Project
  ☆20Updated 4 years ago
• YYCAAA / V-MPO_Lunarlander
  Simple implementation of V-MPO proposed in https://arxiv.org/abs/1909.12238
  ☆44Updated 4 years ago
• 51616 / marl-lipo
  Official codebase for Generating Diverse Cooperative Agents by Learning Incompatible Policies (notable-top-25% @ ICLR 2023)
  ☆14Updated 6 months ago
• jesbu1 / hidio
  Github repo for HIDIO: Hierarchical Reinforcement Learning by Discovering Intrinsic Options
  ☆42Updated 2 years ago
• proceduralia / high_replay_ratio_continuous_control
  Efficient seed-parallel implementation of "Breaking the Replay Ratio Barrier"
  ☆21Updated last year
• ArnaudFickinger / adversarial-surprise
  Explore and Control with Adversarial Surprise
  ☆9Updated 3 years ago
• TakuyaHiraoka / Dropout-Q-Functions-for-Doubly-Efficient-Reinforcement-Learning
  Source files to replicate experiments in my ICLR 2022 paper.
  ☆62Updated 4 months ago
• sfujim / SR-DICE
  Author's PyTorch implementation of SR-DICE for marginalized importance sampling
  ☆15Updated 2 years ago
• sahandrez / homomorphic_policy_gradient
  Author's PyTorch Implementation of Deep Homomorphic Policy Gradient (DHPG) - NeurIPS 2022 and JMLR 2024
  ☆22Updated 7 months ago
• younggyoseo / trajectory_mcl
  Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning (NeurIPS 2020)
  ☆39Updated 4 years ago
• henrycharlesworth / PlanGAN
  ☆17Updated 2 years ago
• tianjunz / NovelD
  ☆37Updated 2 years ago
• facebookresearch / hsd3
  Code for "Hierarchical Skills for Efficient Exploration" HSD-3 Algorithm and Baselines
  ☆49Updated 2 years ago
• arushijain94 / SafeOptionCritic
  Safe Option-Critic: Learning Safety in the Option-Critic Architecture
  ☆18Updated 5 years ago
• MouseHu / GEM
  ☆13Updated 3 years ago
• camall3n / markov-state-abstractions
  Image-based gridworld experiment for learning Markov state abstractions
  ☆19Updated 2 months ago
• mila-iqia / SGI
  Official code for "Pretraining Representations For Data-Efficient Reinforcement Learning" (NeurIPS 2021)
  ☆52Updated 3 years ago