Alternatives and similar repositories for MaxEntDP

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

• HenryLHH / fusion
  This is the source code of FUSION, a safety-aware causal representation for generalizable driving agents.
  ☆25Updated last year
• intelligent-control-lab / guard
  ☆58Updated 11 months ago
• GilgameshD / GRADER
  This is the official implementation of NeurIPS 2022 paper "Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal R…
  ☆35Updated 2 years ago
• ut-amrl / SocialGym2
  SocialGym 2: A lightweight benchmark and simulator for multi-robot social navigation using ROS and the OpenAI gym.
  ☆61Updated last year
• panmt / MBRL_with_Isolated_Imaginations
  ☆22Updated last year
• ManUtdMoon / Distributional-Reachability-Policy-Optimization
  Official implementation of the paper: Safe Model-Based Reinforcement Learning with an Uncertainty-Aware Reachability Certificate
  ☆25Updated 2 years ago
• gwthomas / Safe-MBPO
  Code for the NeurIPS 2021 paper "Safe Reinforcement Learning by Imagining the Near Future"
  ☆49Updated 3 years ago
• thomasrantian / Awesome-Inverse-Reinforcement-Learning
  Literature and code for inverse reinforcement leanring research
  ☆29Updated 5 years ago
• hari-sikchi / LOOP
  Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]
  ☆41Updated 3 years ago
• abalakrishna123 / recovery-rl
  Implementation of Recovery RL: Safe Reinforcement Learning With Learned Recovery Zones.
  ☆59Updated 2 years ago
• wadx2019 / qvpo
  official implementation of QVPO
  ☆56Updated 2 weeks ago
• Manchery / iql-pytorch
  Unofficial PyTorch implementation (replicating paper results) of Implicit Q-Learning (In-sample Q-Learning) for offline RL
  ☆23Updated last year
• MaxSobolMark / OOO
  Official repo for Offline RL for Online RL
  ☆18Updated 2 years ago
• t6-thu / H2O
  [NeurIPS'22 Spotlight] When to Trust Your Simulator: Dynamics-Aware Hybrid Offline-and-Online Reinforcement Learning
  ☆58Updated 2 years ago
• haosulab / RPG
  Code base for paper: Reparameterized Policy Learning for Multimodal Trajectory Optimization
  ☆27Updated 2 years ago
• Liang-ZX / AdaptDiffuser
  [ICML'2023 Oral] "AdaptDiffuser: Diffusion Models as Adaptive Self-evolving Planners"
  ☆65Updated 2 years ago
• Stanford-ILIAD / Confidence-Aware-Imitation-Learning
  ☆40Updated 4 years ago
• zhaoyi11 / tcrl
  ☆24Updated last year
• danieldugas / NavDreams
  ☆31Updated last year
• ZikangXiong / MFNLC
  [IROS 22'] Model-free Neural Lyapunov Control
  ☆27Updated 2 years ago
• TakuyaHiraoka / Dropout-Q-Functions-for-Doubly-Efficient-Reinforcement-Learning
  Source files to replicate experiments in my ICLR 2022 paper.
  ☆70Updated 5 months ago
• dnandha / mopac
  Model Predictive Actor-Critic Reinforcement Learning
  ☆68Updated 4 years ago
• FanmingL / Recurrent-Offpolicy-RL
  Implementation of SAC and TD3 based on various RNN and Transformer.
  ☆28Updated last year
• Guiliang / ICRL-benchmarks-public
  ☆17Updated 2 years ago
• zoharri / mamba
  Meta-RL Model-Based Algorithm
  ☆41Updated 8 months ago
• decisionforce / EGPO
  [CoRL 2021] Official implementation of paper "Safe Driving via Expert Guided Policy Optimization".
  ☆51Updated last year
• idthanm / mpg
  MPG is originated from the paper "Mixed policy gradient", which also contains a cluster of high-quality implementations of deep reinforce…
  ☆22Updated 3 years ago
• martius-lab / HiTS
  Code for the paper: Hierarchical Reinforcement Learning With Timed Subgoals, published at NeurIPS 2021
  ☆35Updated 3 years ago
• montaserFath / BCO
  behavior cloning from observation
  ☆37Updated 5 years ago
• omron-sinicx / action-constrained-RL-benchmark
  ☆25Updated last year