Alternatives and similar repositories for BEAG

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

• ml-postech / multi-armed-bandit-algorithm-against-strategic-replication
  Official implementation of "Multi-armed Bandit Algorithm against Strategic Replication"
  ☆14Updated 3 years ago
• ml-postech / robust-deep-learning-from-crowds-with-belief-propagation
  Official PyTorch implementation of "Robust Deep Learning from Crowds with Belief Propagation"
  ☆19Updated 3 years ago
• ml-postech / SSAD
  ☆11Updated last year
• ml-postech / SpReME
  ☆11Updated 2 years ago
• ml-postech / RoWN
  Official PyTorch implementation of "A Rotated Hyperbolic Wrapped Normal Distribution for Hierarchical Representation Learning"
  ☆28Updated 3 years ago
• ml-postech / Few-shot-Unlearning
  ☆15Updated last year
• fuyw / RepL4RL
  Representation Learning for RL
  ☆128Updated 2 years ago
• dojeon-ai / PLASTIC
  Code for the paper "PLASTIC: Improving Input and Label Plasticity for Sample Efficient Reinforcement Learning" (NeurIPS 2023)
  ☆20Updated last year
• snu-mllab / Achievement-Distillation
  Official PyTorch implementation of "Discovering Hierarchical Achievements in Reinforcement Learning via Contrastive Learning" (NeurIPS 20…
  ☆35Updated 8 months ago
• namsan96 / SiMPL
  ☆48Updated 2 years ago
• mikelma / componet
  Source code of the ICML24 paper "Self-Composing Policies for Scalable Continual Reinforcement Learning" (selected for oral presentation)
  ☆23Updated last year
• joonleesky / train-procgen-pytorch
  Pytorch implementation on OpenAI's Procgen ppo-baseline, built from scratch.
  ☆30Updated 5 years ago
• kaixin96 / rl-generalization-paper
  A list of papers regarding generalization in (deep) reinforcement learning
  ☆153Updated 2 years ago
• awarelab / continual_world
  ☆106Updated last year
• AGI-Labs / continual_rl
  Continual reinforcement learning baselines: experiment specifications, implementation of existing methods, and common metrics. Easily ext…
  ☆128Updated 2 years ago
• ml-postech / TTEN
  [CIKM'23] Test Time Embedding Normalization for Popularity Bias Mitigation
  ☆13Updated last year
• alinlab / MetaMAE
  Modality-Agnostic Self-Supervised Learning with Meta-Learned Masked Auto-Encoder (NeurIPS 2023)
  ☆10Updated last year
• amazon-science / replay-based-recurrent-rl
  Code for "Task-Agnostic Continual RL: In Praise of a Simple Baseline"
  ☆34Updated 2 years ago
• KAIST-AILab / imitation-dice
  ☆17Updated 10 months ago
• nicklashansen / svea-vit
  Code for the paper "Stabilizing Deep Q-Learning with ConvNets and Vision Transformers under Data Augmentation"
  ☆19Updated 2 years ago
• jon--lee / decision-pretrained-transformer
  Implemention of the Decision-Pretrained Transformer (DPT) from the paper Supervised Pretraining Can Learn In-Context Reinforcement Learni…
  ☆76Updated last year
• pokaxpoka / B_Pref
  ☆51Updated 3 years ago
• yidingjiang / love
  Code for the paper "Learning Options via Compression" at NeurIPS 2022
  ☆25Updated 2 years ago
• edong6768 / Malet
  🔨 Malet (Machine Learning Experiment Tool) is a tool for efficient machine learning experiment execution, logging, analysis, and plot ma…
  ☆17Updated 6 months ago
• yifan12wu / rl-laplacian
  Learning Laplacian Representations in Reinforcement Learning
  ☆18Updated 4 years ago
• ml-postech / MetaSSD
  Meta-Learned Self-Supervised Detection
  ☆21Updated 3 years ago
• rll-research / BPref
  Official codebase for "B-Pref: Benchmarking Preference-BasedReinforcement Learning" contains scripts to reproduce experiments.
  ☆131Updated 4 years ago
• kingdy2002 / VCSE
  ☆18Updated 2 years ago
• snu-mllab / DCPG
  Official PyTorch implementation of "Rethinking Value Function Learning for Generalization in Reinforcement Learning" (NeurIPS 2022)
  ☆13Updated 2 years ago
• iwhwang / Fine-Grained-Causal-RL
  Fine-Grained Causal Dynamics Learning with Quantization for Improving Robustness in Reinforcement Learning (ICML 2024)
  ☆17Updated last year