jbmouret / bo_tutorial

Related projects: ⓘ

• jbmouret / map_elites_tutorial
  Jupyter notebook for the MAP-Elites algorithms (Mouret & Clune, 2015)
  ☆16Updated 2 years ago
• erachelson / rlvs_rl_fundamentals
  ☆25Updated 3 years ago
• lili-chen / SEER
  Official codebase for Improving Computational Efficiency in Visual Reinforcement Learning via Stored Embeddings.
  ☆21Updated 3 years ago
• osigaud / Basic-Policy-Gradient-Labs
  A repo to design basic Policy Gradient labs
  ☆11Updated last year
• geyang / plan2vec
  Public Release of Plan2vec Implementation in pyTorch
  ☆56Updated last year
• LearningByDoingCompetition / learningbydoing-comp
  LearningByDoing NeurIPS 2021 Competition: Standalone Code and Results
  ☆17Updated 2 years ago
• icaros-usc / dqd-rl
  Official implementation of "Approximating Gradients for Differentiable Quality Diversity in Reinforcement Learning"
  ☆18Updated last year
• Bellman-devs / bellman
  Model-based reinforcement learning in TensorFlow
  ☆53Updated 3 years ago
• 0xangelo / gym-cartpole-swingup
  A simple, continuous-control environment for OpenAI Gym
  ☆21Updated last year
• ElisevanderPol / mdp-homomorphic-networks
  ☆27Updated 3 years ago
• eleurent / phd-defense
  ☆43Updated 3 years ago
• philipjball / ReadyPolicyOne
  🔍 Codebase for the ICML '20 paper "Ready Policy One: World Building Through Active Learning" (arxiv: 2002.02693)
  ☆19Updated last year
• simon-larsson / ballbeam-gym
  Ball & beam OpenAI gym environments
  ☆15Updated 4 years ago
• kschweig / OfflineRL
  Experiment for Understanding the Effects of Dataset Characteristics on Offline Reinforcement Learning
  ☆24Updated last year
• hari-sikchi / LOOP
  Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]
  ☆32Updated 2 years ago
• PeideHuang / gradient
  Code base for NeurIPS 2022 paper Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation.
  ☆8Updated last year
• omron-sinicx / action-constrained-RL-benchmark
  ☆20Updated 4 months ago
• Physics-aware-AI / DiffCoSim
  By introducing a differentiable contact model, DiffCoSim extends the applicability of Lagrangian/Hamiltonian-inspired neural networks to …
  ☆30Updated last year
• ArmaanSethi / Hindsight-Experience-Replay-and-Hierarchical-Reinforcement-Learning
  Comp 781 Project
  ☆8Updated 5 years ago
• d9w / deep-learning-intro
  Introduction to Deep Learning
  ☆11Updated 3 years ago
• sferes2 / modular_QD
  **Sferes2 module** A unifying modular framework for Quality-Diversity algorithms
  ☆22Updated 3 years ago
• RL-VS / rlvs2021
  ☆18Updated 3 years ago
• zdhNarsil / Stochastic-Marginal-Actor-Critic
  Official pytorch implementation for our ICLR 2023 paper "Latent State Marginalization as a Low-cost Approach for Improving Exploration".
  ☆24Updated last year
• hai-h-nguyen / belief-grounded-network
  [CoRL 2020] Belief-Grounded Networks for Accelerated Robot Learning under Partial Observability
  ☆9Updated 2 years ago
• HumanCompatibleAI / deep-rlsp
  Code accompanying "Learning What To Do by Simulating the Past", ICLR 2021.
  ☆26Updated 3 years ago
• boschresearch / ube-mbrl
  Model-Based Uncertainty in Value Functions (AISTATS2023)
  ☆15Updated last year
• MinRegret / deluca
  Performant, differentiable reinforcement learning
  ☆25Updated last year
• Kaixhin / GUDRL
  Generalised UDRL
  ☆37Updated 2 years ago
• kevinzakka / mujoco_tips_and_tricks
  ☆32Updated last year
• sisl / mechamodlearn
  Structured framework for learning mechanical systems in PyTorch
  ☆23Updated 5 years ago