cassidylaidlaw / cs285-homeworkLinks
Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2020)
☆34Updated 4 years ago
Alternatives and similar repositories for cs285-homework
Users that are interested in cs285-homework are comparing it to the libraries listed below
Sorting:
- A PyTorch implementation of Implicit Behavioral Cloning☆106Updated 2 years ago
- Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations☆103Updated last year
- A benchmark for offline goal-conditioned RL and offline RL☆191Updated last week
- ☆50Updated 2 years ago
- ☆46Updated 3 months ago
- ☆70Updated 3 years ago
- Safe Multi-Agent Isaac Gym benchmark for safe multi-agent reinforcement learning research.☆61Updated 5 months ago
- Official implementation for: Consistency Models as a Rich and Efficient Policy Class for Reinforcement Learning ICLR'24☆25Updated 10 months ago
- Official release of CompoSuite, a compositional RL benchmark☆49Updated last year
- Simple maze environments using mujoco-py☆57Updated last year
- Source files to replicate experiments in my ICLR 2022 paper.☆70Updated 11 months ago
- ☆120Updated 5 years ago
- HIQL: Offline Goal-Conditioned RL with Latent States as Actions (NeurIPS 2023)☆85Updated 6 months ago
- Repo for Implicit Diffusion Q-Learning☆110Updated last year
- Skill-based Model-based Reinforcement Learning (CoRL 2022)☆60Updated 2 years ago
- This repository contains the code of the paper SO(2)-Equivariant Reinforcement Learning (ICLR 2022) and On-Robot Learning With Equivarian…☆37Updated 2 years ago
- ☆48Updated 7 months ago
- Wrappers and utilities for Nvidia IsaacGym☆99Updated 3 years ago
- This repo relates to the survey paper <Goal-Conditioned Reinforcement Learning: Problems and Solutions>. We collects widely used benchmar…☆137Updated 2 years ago
- Diversity is All You Need: Learning Skills without a Reward Function in PyTorch.☆68Updated last year
- DrM, a visual RL algorithm, minimizes the dormant ratio to guide exploration-exploitation trade-offs, achieving significant improvements …☆75Updated last year
- ☆25Updated 10 months ago
- ☆28Updated last year
- [ICML 2023] Pre-train world model-based agents with different unsupervised strategies, fine-tune the agent's components selectively, and …☆39Updated last year
- Skeleton for scalable and flexible Jax RL implementations☆82Updated last year
- Code for "Planning Goals for Exploration", ICLR2023 Spotlight. An unsupervised RL agent for hard exploration tasks.☆78Updated last year
- Transformer-based World Models☆82Updated 2 years ago
- official implementation for our paper Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning☆99Updated 10 months ago
- [ICLR 2025] Robust Gymnasium: A Unified Modular Benchmark for Robust Reinforcement Learning.☆57Updated last month
- A minimal and stable PPO.☆138Updated last year