Alternatives and similar repositories for laplacian_dual_dynamics

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

• mklissa / dceo
  Learning diverse options through the Laplacian representation.
  ☆23Updated last year
• vivekmyers / empowerment_successor_representations
  Code for the paper "Learning to Assist Humans without Inferring Rewards"
  ☆15Updated last year
• seohongpark / METRA
  METRA: Scalable Unsupervised RL with Metric-Aware Abstraction (ICLR 2024)
  ☆74Updated last year
• ElisevanderPol / symmetrizer
  ☆31Updated 4 years ago
• ucl-dark / pax
  Scalable Opponent Shaping Experiments in JAX
  ☆24Updated last year
• seohongpark / CSD-locomotion
  Controllability-Aware Unsupervised Skill Discovery (ICML 2023)
  ☆27Updated 2 years ago
• luchris429 / popjaxrl
  Benchmarking RL for POMDPs in Pure JAX [Code for "Structured State Space Models for In-Context Reinforcement Learning" (NeurIPS 2023)]
  ☆110Updated last year
• facebookresearch / gen_dgrl
  Official codebase for "The Generalization Gap in Offline Reinforcement Learning" accepted to ICLR 2024
  ☆28Updated last year
• google-deepmind / active_ops
  ☆32Updated last year
• adaptive-intelligent-robotics / QDAC
  Repository for "Quality-Diversity Actor-Critic: Learning High-Performing and Diverse Behaviors via Value and Successor Features Critics" …
  ☆17Updated last year
• conglu1997 / SynthER
  Synthetic Experience Replay
  ☆103Updated last year
• seohongpark / HIQL
  HIQL: Offline Goal-Conditioned RL with Latent States as Actions (NeurIPS 2023)
  ☆90Updated 10 months ago
• Jaewoopudding / GTA
  Official codebase for GTA: Generative Trajectory Augmentation with Guidance for Offline Reinforcement Learning.
  ☆26Updated 10 months ago
• ml-jku / L2M
  Learning to Modulate pre-trained Models in RL (Decision Transformer, LoRA, Fine-tuning)
  ☆60Updated last year
• keynans / HypeRL
  Authors' PyTorch implementation of 'Recomposing the Reinforcement Learning Building-Blocks with Hypernetworks' (HypeRL)
  ☆24Updated 4 years ago
• Div-Infinity / XQL
  Extreme Q-Learning: Max Entropy RL without Entropy
  ☆87Updated 2 years ago
• seohongpark / PMA
  Predictable MDP Abstraction for Unsupervised Model-Based RL (ICML 2023)
  ☆32Updated 2 years ago
• ucl-dark / skillhack
  SkillHack: A Benchmark for Skill Transfer in Open-Ended Reinforcement Learning
  ☆17Updated 2 years ago
• montrealrobotics / iv_rl
  IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation
  ☆40Updated 2 months ago
• twni2016 / Memory-RL
  When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment, NeurIPS 2023 (oral)
  ☆67Updated last year
• MarcoMeter / endless-memory-gym
  Challenging Memory-based Deep Reinforcement Learning Agents
  ☆103Updated 11 months ago
• qgallouedec / lge
  ☆31Updated last year
• younggyoseo / RE3
  RE3: State Entropy Maximization with Random Encoders for Efficient Exploration
  ☆69Updated 4 years ago
• kvfrans / fre
  Code for "Unsupervised Zero-Shot RL via Functional Reward Representations"
  ☆58Updated last year
• mila-iqia / SGI
  Official code for "Pretraining Representations For Data-Efficient Reinforcement Learning" (NeurIPS 2021)
  ☆55Updated 4 years ago
• ahmed-touati / controllable_agent
  ☆48Updated 2 years ago
• JasonMa2016 / SMODICE
  Official repository for paper "Versatile Offline Imitation from Observations and Examples via Regularized State-Occupancy Matching" (ICML…
  ☆28Updated 2 years ago
• LunjunZhang / world-model-as-a-graph
  Code for "World Model as a Graph: Learning Latent Landmarks for Planning" (ICML 2021 Long Presentation)
  ☆68Updated 4 years ago
• camall3n / markov-state-abstractions
  Image-based gridworld experiment for learning Markov state abstractions
  ☆21Updated last year
• csmile-1006 / ARP
  Guide Your Agent with Adaptive Multimodal Rewards (NeurIPS 2023 Accepted)
  ☆33Updated 2 years ago