Alternatives and similar repositories for diff_history

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

• conglu1997 / intelligent-go-explore
  Intelligent Go-Explore: Standing on the Shoulders of Giant Foundation Models
  ☆58Updated 3 months ago
• facebookresearch / oni
  Learn online intrinsic rewards from LLM feedback
  ☆37Updated 5 months ago
• google-deepmind / lm_act
  LMAct: A Benchmark for In-Context Imitation Learning with Long Multimodal Demonstrations
  ☆16Updated 2 weeks ago
• btnorman / First-Explore
  Repo to reproduce the First-Explore paper results
  ☆37Updated 5 months ago
• upiterbarg / lintseq
  [ICLR 2025] "Training LMs on Synthetic Edit Sequences Improves Code Synthesis" (Piterbarg, Pinto, Fergus)
  ☆19Updated 3 months ago
• FLAIROx / cultural-accumulation
  ☆13Updated 10 months ago
• princeton-nlp / lwm
  We develop world models that can be adapted with natural language. Intergrating these models into artificial agents allows humans to effe…
  ☆23Updated last year
• abaheti95 / LoL-RL
  Advantage Leftover Lunch Reinforcement Learning (A-LoL RL): Improving Language Models with Advantage-based Offline Policy Gradients
  ☆26Updated 8 months ago
• jinpz / q_sharp
  The official code release for Q#: Provably Optimal Distributional RL for LLM Post-Training
  ☆12Updated 3 months ago
• rail-berkeley / SUPE
  This code accompanies the paper "Leveraging Skills from Unlabeled Prior Data for Efficient Online Exploration."
  ☆28Updated 7 months ago
• BatsResearch / planetarium
  Dataset and benchmark for assessing LLMs in translating natural language descriptions of planning problems into PDDL
  ☆51Updated 7 months ago
• ZhaolinGao / REBEL
  Reinforcement Learning via Regressing Relative Rewards
  ☆32Updated 5 months ago
• abdulhaim / LMRL-Gym
  ☆93Updated 11 months ago
• ml-jku / L2M
  Learning to Modulate pre-trained Models in RL (Decision Transformer, LoRA, Fine-tuning)
  ☆58Updated 7 months ago
• DHDev0 / Muzero-unplugged
  Pytorch Implementation of MuZero Unplugged for gym environment. This algorithm is capable of supporting a wide range of action and observ…
  ☆27Updated 2 years ago
• ml-jku / LRAM
  A Large Recurrent Action Model: xLSTM enables Fast Inference for Robotics Tasks
  ☆33Updated 7 months ago
• Asap7772 / understanding-rlhf
  Learning from preferences is a common paradigm for fine-tuning language models. Yet, many algorithmic design decisions come into play. Ou…
  ☆29Updated last year
• luchris429 / discovered-policy-optimisation
  Code for Discovered Policy Optimisation (NeurIPS 2022)
  ☆10Updated last year
• flowersteam / EAGER
  ☆10Updated 2 years ago
• keraJLi / synthetic-gymnax
  Drop-in environment replacements that make your RL algorithm train faster.
  ☆20Updated 11 months ago
• facebookresearch / rlfh-gen-div
  This is code for most of the experiments in the paper Understanding the Effects of RLHF on LLM Generalisation and Diversity
  ☆43Updated last year
• prajjwal1 / rl_paradigm
  ☆17Updated last year
• RLE-Foundation / Plasticine
  Accelerating Research in Plasticity-Motivated Deep Reinforcement Learning.
  ☆24Updated last month
• danijar / ninjax
  General Modules for JAX
  ☆66Updated last month
• sai-prasanna / dreaming_of_many_worlds
  ☆22Updated 8 months ago
• likenneth / q_probe
  Q-Probe: A Lightweight Approach to Reward Maximization for Language Models
  ☆41Updated 11 months ago
• jennyzzt / omni
  OMNI: Open-endedness via Models of human Notions of Interestingness
  ☆49Updated 4 months ago
• frt03 / jax_dt
  Minimal Decision Transformer Implementation written in Jax (Flax).
  ☆17Updated 2 years ago
• instadeepai / qd-skill-discovery-benchmark
  Neuroevolution is a Competitive Alternative to Reinforcement Learning for Skill Discovery
  ☆15Updated last year
• young-geng / mintext
  Minimal but scalable implementation of large language models in JAX
  ☆34Updated 7 months ago