kaustubhsridhar / Constrained_Models

Related projects ⓘ

Alternatives and complementary repositories for Constrained_Models

• lili-chen / SEER
  Official codebase for Improving Computational Efficiency in Visual Reinforcement Learning via Stored Embeddings.
  ☆21Updated 3 years ago
• facebookresearch / neural-scs
  Neural Fixed-Point Acceleration for Convex Optimization
  ☆29Updated 2 years ago
• ivandariojr / LyapunovLearning
  ☆38Updated last year
• vivekmyers / contrastive_metrics
  Code for the paper "Learning Temporal Distances: Contrastive Successor Features Can Provide a Metric Structure for Decision-Making"
  ☆22Updated 4 months ago
• oxcsml / constrained-diffusion
  ☆15Updated last year
• Jordylek / conformal-decision
  Conformal Decision Theory code
  ☆21Updated last year
• facebookresearch / lagrangian-ot
  Neural Optimal Transport with Lagrangian Costs
  ☆49Updated 4 months ago
• libeanim / contact-symplectic-integrator-network
  Contact-Aware Symplectic Integrator Network
  ☆11Updated last year
• Kaixhin / GUDRL
  Generalised UDRL
  ☆37Updated 2 years ago
• facebookresearch / ssorl
  Semi-Supervised Offline Reinforcement Learning with Action-Free Trajectories
  ☆41Updated last year
• marc-rigter / waker
  Official code for "Reward-Free Curricula for Training Robust World Models", ICLR 2024.
  ☆26Updated 9 months ago
• facebookresearch / taskmet
  TaskMet Task-driven Metric Learning for Model Learning
  ☆18Updated 9 months ago
• robfiras / s2pg
  Code of the Paper "Time-Efficient Reinforcement Learning with Stochastic Stateful Policies"
  ☆20Updated 6 months ago
• jscriptcoder / Upside-Down-Reinforcement-Learning
  Landing a Spaceship using Upside-Down Reinforcement Learning (a.k.a ⅂ꓤ)
  ☆11Updated last year
• MinRegret / deluca
  Performant, differentiable reinforcement learning
  ☆25Updated last year
• si0wang / COPlanner
  ☆22Updated 7 months ago
• TrentBrick / RewardConditionedUDRL
  Open source code combining implementations of Upside Down Reinforcement Learning and Reward Conditioned Policies
  ☆16Updated 3 years ago
• kschweig / OfflineRL
  Experiment for Understanding the Effects of Dataset Characteristics on Offline Reinforcement Learning
  ☆24Updated last year
• geyang / plan2vec
  Public Release of Plan2vec Implementation in pyTorch
  ☆56Updated 2 years ago
• Tencent-RoboticsX / jbdl
  A JAX-Based Body Dynamics Algorithm Library for Robotics.
  ☆24Updated 3 years ago
• anindex / mpot
  Implementation of Motion Planning via Optimal Transport (MPOT) in PyTorch, NeurIPS 2023.
  ☆50Updated last year
• jianlanluo / SAQ
  ☆28Updated last year
• eleurent / phd-defense
  ☆43Updated 3 years ago
• adaptive-intelligent-robotics / QDAC
  Repository for "Quality-Diversity Actor-Critic: Learning High-Performing and Diverse Behaviors via Value and Successor Features Critics" …
  ☆12Updated 5 months ago
• joelouismarino / variational_rl
  Variational Reinforcement Learning
  ☆16Updated 3 months ago
• quasimetric-learning / torch-quasimetric
  PyTorch Package For Quasimetric Learning
  ☆42Updated 3 weeks ago
• zchuning / latco
  Model-Based Reinforcement Learning via Latent-Space Collocation.
  ☆32Updated last year
• two2tee / WorldModelPlanning
  ☆16Updated 3 years ago
• facebookresearch / gwil
  Cross-Domain Imitation Learning via Optimal Transport
  ☆23Updated 2 years ago
• philipjball / ReadyPolicyOne
  🔍 Codebase for the ICML '20 paper "Ready Policy One: World Building Through Active Learning" (arxiv: 2002.02693)
  ☆18Updated last year