Alternatives and similar repositories for adversarial-surprise:

Users that are interested in adversarial-surprise are comparing it to the libraries listed below

• uoe-agents / derl
  The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)
  ☆27Updated 3 years ago
• keynans / HypeRL
  Authors' PyTorch implementation of 'Recomposing the Reinforcement Learning Building-Blocks with Hypernetworks' (HypeRL)
  ☆25Updated 3 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 10 months ago
• sfujim / SR-DICE
  Author's PyTorch implementation of SR-DICE for marginalized importance sampling
  ☆15Updated 3 years ago
• montrealrobotics / iv_rl
  IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation
  ☆39Updated 3 months ago
• apexrl / CoDAIL
  Implementation of CoDAIL in the ICLR 2020 paper <Multi-Agent Interactions Modeling with Correlated Policies>
  ☆18Updated 3 years ago
• Neo-X / SMiRL_Code
  ☆18Updated 2 years ago
• omron-sinicx / action-constrained-RL-benchmark
  ☆23Updated 9 months ago
• apexrl / COIL
  Code for NeurIPS 2021 paper "Curriculum Offline Imitation Learning"
  ☆18Updated 2 years ago
• TARTRL / TiZero
  Code accompanying the paper "TiZero: Mastering Multi-Agent Football with Curriculum Learning and Self-Play" (AAMAS 2023) 足球游戏智能体
  ☆13Updated last year
• hari-sikchi / LOOP
  Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]
  ☆36Updated 2 years ago
• behaviorguidedRL / BGRL
  Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization
  ☆24Updated 4 years ago
• ReinholdM / Papers-of-Offline-RL
  Related papers for offline reforcement learning (we mainly focus on representation and sequence modeling and conventional offline RL)
  ☆18Updated 2 years ago
• microsoft / strategically_efficient_rl
  More efficient exploration for reinforcement learning in two-player, zero-sum game
  ☆20Updated 6 months ago
• jesbu1 / hidio
  Github repo for HIDIO: Hierarchical Reinforcement Learning by Discovering Intrinsic Options
  ☆44Updated 3 years ago
• yuchen-x / MacroMARL
  ☆21Updated 10 months ago
• hychen-naza / LEAP
  ☆15Updated last year
• facebookresearch / entity-factored-rl
  Source code for the paper "Policy Architectures for Compositional Generalization in Control"
  ☆30Updated 2 years ago
• google-deepmind / active_ops
  ☆32Updated 6 months ago
• uoe-agents / MATE
  Learning Task Embeddings for Teamwork Adaptation in Multi-Agent Reinforcement Learning
  ☆12Updated 9 months ago
• zuzuba / CISR_NeurIPS20
  ☆18Updated 4 years ago
• sdpkjc / abcdrl
  Modular Single-file Reinfocement Learning Algorithms Library
  ☆37Updated last year
• quantumiracle / MARS
  MARS is shortened for Multi-Agent Research Studio, a library for mulit-agent reinforcement learning research.
  ☆45Updated 11 months ago
• flowersteam / EAGER
  ☆11Updated 2 years ago
• robbycostales / HAL
  Code for "Possibility Before Utility: Learning And Using Hierarchical Affordances" (ICLR 2022)
  ☆14Updated 2 years ago
• ben-eysenbach / mnm
  Code to accompany the paper "Mismatched No More: Joint Model-Policy Optimization for Model-Based RL"
  ☆21Updated 3 years ago
• akakzia / decstr
  ☆15Updated 3 years ago
• jiayu-ch15 / Variational-Automatic-Curriculum-Learning
  curriculum
  ☆21Updated 2 years ago
• jdchang1 / milo
  ☆16Updated 3 years ago