Alternatives and similar repositories for Time-in-State-RL:

Users that are interested in Time-in-State-RL are comparing it to the libraries listed below

• hari-sikchi / LOOP
  Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]
  ☆36Updated 2 years ago
• zwfightzw / Meta-Critic
  ☆9Updated 4 years ago
• fusion-ml / trajectory-information-rl
  Bayesian active RL (BARL) and trajectory information planning (TIP)
  ☆24Updated 2 years ago
• dhananjaisharma10 / Model-based-Reinforcement-Learning
  Model-based reinforcement learning using CEM, MPC and PETS
  ☆16Updated 5 years ago
• ZikangXiong / MFNLC
  [IROS 22'] Model-free Neural Lyapunov Control
  ☆21Updated last year
• PeideHuang / gradient
  Code base for NeurIPS 2022 paper Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation.
  ☆9Updated last year
• thomasrantian / Awesome-Inverse-Reinforcement-Learning
  Literature and code for inverse reinforcement leanring research
  ☆25Updated 4 years ago
• philipjball / ReadyPolicyOne
  🔍 Codebase for the ICML '20 paper "Ready Policy One: World Building Through Active Learning" (arxiv: 2002.02693)
  ☆18Updated last year
• si0wang / COPlanner
  ☆21Updated 9 months ago
• montrealrobotics / iv_rl
  IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation
  ☆38Updated 3 months ago
• yuchen-x / MacroMARL
  ☆21Updated 9 months ago
• pairlab / d2rl
  Code for the paper "D2RL: Deep Dense Architectures for Reinforcement Learning"
  ☆38Updated 4 years ago
• holarissun / RewardShifting
  Code for NeurIPS 2022 paper Exploiting Reward Shifting in Value-Based Deep RL
  ☆29Updated last year
• SafeRL-Lab / Uncertainty-in-RL
  The repository is for Reinforcement-Learning Uncertainty research, in which we investigate various uncertain factors in RL.
  ☆20Updated last year
• CORE-Robotics-Lab / ICCT
  ☆13Updated 9 months ago
• yashbonde / Transformer-RL
  Experiments to train transformer network to master reinforcement learning environments.
  ☆33Updated 3 years ago
• google-deepmind / active_ops
  ☆32Updated 6 months ago
• keynans / HypeRL
  Authors' PyTorch implementation of 'Recomposing the Reinforcement Learning Building-Blocks with Hypernetworks' (HypeRL)
  ☆25Updated 3 years ago
• seongun-kim / vcrl
  [ICML 2023] Variational Curriculum Reinforcement Learning for Unsupervised Discovery of Skills
  ☆12Updated last year
• uncharted-technologies / risk-and-uncertainty
  Code that can be used to reproduce the experiments in our paper "Estimating Risk and Uncertainty in Deep Reinforcement Learning"
  ☆30Updated 2 years ago
• boschresearch / ube-mbrl
  Model-Based Uncertainty in Value Functions (AISTATS2023)
  ☆18Updated last year
• rmst / rlrd
  PyTorch implementation of our paper Reinforcement Learning with Random Delays (ICLR 2020)
  ☆39Updated 2 years ago
• omron-sinicx / action-constrained-RL-benchmark
  ☆23Updated 9 months ago
• Kostis-S-Z / exploring_meta
  Experiments on Model-Agnostic Meta-Learning on Few-Shot Image Classification and Meta-RL (Meta-World)
  ☆14Updated 3 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
• ArmaanSethi / Hindsight-Experience-Replay-and-Hierarchical-Reinforcement-Learning
  Comp 781 Project
  ☆8Updated 6 years ago
• HannesStark / gnn-reinforcement-learning
  Representing robots as graphs for reinforcement-learning in PyBullet locomotion environments.
  ☆29Updated 3 years ago
• aravindsrinivas / neural-mpc
  ☆69Updated 4 years ago
• proroklab / ControllingBehavioralDiversity
  This repository contains the code for Diversity Control (DiCo), a novel method to constrain behavioral diversity in multi-agent reinforce…
  ☆18Updated last month
• liuzuxin / Bullet-Safety-Gym
  An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.
  ☆12Updated last year