Alternatives and similar repositories for InterestingnessXRL:

Users that are interested in InterestingnessXRL are comparing it to the libraries listed below

• SRI-AIC / InterestingnessXRL
  A python library for eXplainable Reinforcement Learning (XRL) based on the concept of interestingness elements.
  ☆20Updated 3 years ago
• ml-jku / rudder-demonstration-code
  Code for demonstration example-task in RUDDER blog
  ☆23Updated 4 years ago
• Pervasive-AI-Lab / crlmaze
  Continual Reinforcement Learning in 3D Non-stationary Environments
  ☆37Updated 5 years ago
• AadityaRavindran / gym-cartpolemod
  Modified CartPole-v0 OpenAI Gym environment with various noisy cases and Reinforcement Learning based controller
  ☆9Updated 7 years ago
• Adaptive-RL / AdaRL-code
  Implementation codes and datasets used in ICLR'22 Spotlight paper AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning…
  ☆36Updated 11 months ago
• yfletberliac / adversarially-guided-actor-critic
  AGAC: Adversarially Guided Actor-Critic
  ☆48Updated 3 years ago
• robintyh1 / onpolicybaselines
  on-policy optimization baselines for deep reinforcement learning
  ☆30Updated 5 years ago
• behaviorguidedRL / BGRL
  Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization
  ☆24Updated 4 years ago
• social-dilemma / multiagent
  Using RLLib and PycoLab to explore intelligent cooperative behavior in sequential social dilemmas
  ☆50Updated 2 years ago
• hiwonjoon / ICML2019-TREX
  ☆83Updated 3 years ago
• google-deepmind / active_ops
  ☆32Updated 8 months ago
• amazon-science / meta-q-learning
  Code for the paper "Meta-Q-Learning"( ICLR 2020)
  ☆103Updated 2 years ago
• YuejiangLIU / prioritized_option_critic
  Implementation of the Prioritized Option-Critic on the Four-Rooms Environment
  ☆16Updated 7 years ago
• yifan12wu / rl-laplacian
  Learning Laplacian Representations in Reinforcement Learning
  ☆17Updated 4 years ago
• dmitrykazhdan / MARLeME
  General-purpose library for extracting interpretable models from Multi-Agent Reinforcement Learning systems
  ☆20Updated 4 years ago
• MarcoMeter / neroRL
  Deep Reinforcement Learning Framework done with PyTorch
  ☆34Updated 3 weeks ago
• schroederdewitt / mackrl
  Code for Multi-Agent Common Knowledge Reinforcement Learning (NeurIPS 2019)
  ☆33Updated 5 years ago
• jesbu1 / hidio
  Github repo for HIDIO: Hierarchical Reinforcement Learning by Discovering Intrinsic Options
  ☆45Updated 3 years ago
• Steven-Ho / VALOR
  Implementation of VALOR (Variational Option Discovery Algorithms)
  ☆10Updated 5 years ago
• geyang / e-maml
  E-MAML, and RL-MAML baseline implemented in Tensorflow v1
  ☆16Updated 5 years ago
• montrealrobotics / iv_rl
  IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation
  ☆40Updated 5 months ago
• johannah / bootstrap_dqn
  Implementation of Bootstrap DQN and Randomized Prior Functions on ALE
  ☆55Updated 3 weeks ago
• YYCAAA / V-MPO_Lunarlander
  Simple implementation of V-MPO proposed in https://arxiv.org/abs/1909.12238
  ☆44Updated 4 years ago
• ElisevanderPol / symmetrizer
  ☆30Updated 4 years ago
• qlan3 / Explorer
  Explorer is a PyTorch reinforcement learning framework for exploring new ideas.
  ☆92Updated last week
• tessavdheiden / social_empowerment
  ☆16Updated 8 months ago
• alversafa / option-critic-arch
  Implementation of the Option-Critic Architecture
  ☆39Updated 6 years ago
• zafarali / emdp
  Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations
  ☆49Updated 3 years ago
• gyh75520 / Relational_DRL
  Implementation of Relational Deep Reinforcement Learning
  ☆25Updated 5 years ago
• jparkerholder / DvD_ES
  Code from the paper "Effective Diversity in Population Based Reinforcement Learning", presented as a spotlight at NeurIPS 2020. This is t…
  ☆44Updated 4 years ago