upiterbarg / diff_historyLinks
[ICML 2024] Official code release accompanying the paper "diff History for Neural Language Agents" (Piterbarg, Pinto, Fergus)
☆20Updated 10 months ago
Alternatives and similar repositories for diff_history
Users that are interested in diff_history are comparing it to the libraries listed below
Sorting:
- [ICLR 2025] "Training LMs on Synthetic Edit Sequences Improves Code Synthesis" (Piterbarg, Pinto, Fergus)☆19Updated 5 months ago
- Intelligent Go-Explore: Standing on the Shoulders of Giant Foundation Models☆60Updated 4 months ago
- Learn online intrinsic rewards from LLM feedback☆41Updated 6 months ago
- We develop world models that can be adapted with natural language. Intergrating these models into artificial agents allows humans to effe…☆24Updated last year
- Repo to reproduce the First-Explore paper results☆37Updated 6 months ago
- ☆98Updated last year
- Skill Design From AI Feedback☆30Updated 4 months ago
- Advantage Leftover Lunch Reinforcement Learning (A-LoL RL): Improving Language Models with Advantage-based Offline Policy Gradients☆26Updated 10 months ago
- ☆12Updated last year
- Intrinsic Motivation from Artificial Intelligence Feedback☆129Updated last year
- Scaling scaling laws with board games.☆49Updated last year
- Drop-in environment replacements that make your RL algorithm train faster.☆21Updated last year
- An OpenAI gym environment to evaluate the ability of LLMs (eg. GPT-4, Claude) in long-horizon reasoning and task planning in dynamic mult…☆69Updated 2 years ago
- ☆34Updated 2 years ago
- OMNI-EPIC: Open-endedness via Models of human Notions of Interestingness with Environments Programmed in Code (ICLR 2025).☆60Updated 6 months ago
- Reinforcement Learning via Regressing Relative Rewards☆34Updated 7 months ago
- Interpreting how transformers simulate agents performing RL tasks☆87Updated last year
- Code for Discovered Policy Optimisation (NeurIPS 2022)☆11Updated 2 years ago
- Benchmarking Agentic LLM and VLM Reasoning On Games☆166Updated 2 months ago
- SmartPlay is a benchmark for Large Language Models (LLMs). Uses a variety of games to test various important LLM capabilities as agents. …☆140Updated last year
- CleanRL's implementation of DeepMind's Podracer Sebulba Architecture for Distributed DRL☆114Updated 10 months ago
- Official repository of the ICML 2025 paper, PokeChamp: an Expert-level Minimax Language Agent.☆67Updated last week
- Pytorch Implementation of MuZero Unplugged for gym environment. This algorithm is capable of supporting a wide range of action and observ…☆27Updated 3 weeks ago
- General Modules for JAX☆66Updated 3 months ago
- Learning from preferences is a common paradigm for fine-tuning language models. Yet, many algorithmic design decisions come into play. Ou…☆29Updated last year
- Official PyTorch implementation of "Discovering Hierarchical Achievements in Reinforcement Learning via Contrastive Learning" (NeurIPS 20…☆33Updated 4 months ago
- This code accompanies the paper "Leveraging Skills from Unlabeled Prior Data for Efficient Online Exploration."☆28Updated last month
- Official implementation of the DECKARD Agent from the paper "Do Embodied Agents Dream of Pixelated Sheep?"☆93Updated 2 years ago
- Official Implementation of "Can Learned Optimization Make Reinforcement Learning Less Difficult"☆25Updated 2 months ago
- ☆127Updated last year