dojeon-ai / Atari-PBLinks
Official repository for "Investigating Pre-Training Objectives for Generalization in Visual Reinforcement Learning" (ICML 2024)
☆11Updated 3 weeks ago
Alternatives and similar repositories for Atari-PB
Users that are interested in Atari-PB are comparing it to the libraries listed below
Sorting:
- Implementations of Intention-conditioned Flow Occupancy Models (InFOM)☆29Updated last week
- Official codebase for GTA: Generative Trajectory Augmentation with Guidance for Offline Reinforcement Learning.☆26Updated 10 months ago
- Learning diverse options through the Laplacian representation.☆23Updated last year
- ☆108Updated 7 months ago
- METRA: Scalable Unsupervised RL with Metric-Aware Abstraction (ICLR 2024)☆74Updated last year
- Official codebase for "The Generalization Gap in Offline Reinforcement Learning" accepted to ICLR 2024☆28Updated last year
- Foundation Policies with Hilbert Representations (ICML 2024)☆97Updated last week
- Code for "Unsupervised Zero-Shot RL via Functional Reward Representations"☆58Updated last year
- VC-FB and MC-FB algorithms from "Zero-Shot Reinforcement Learning from Low Quality Data" (NeurIPS 2024)☆20Updated 8 months ago
- Public code for "Reinforcement Learning from Passive Data via Latent Intentions"☆89Updated last year
- This code accompanies the paper "Leveraging Skills from Unlabeled Prior Data for Efficient Online Exploration."☆33Updated 2 months ago
- PWM: Policy Learning with Large World Models☆57Updated 2 months ago
- Codes accompanying the paper "Score Regularized Policy Optimization through Diffusion Behavior" (ICLR 2024).☆49Updated last year
- Learning to Modulate pre-trained Models in RL (Decision Transformer, LoRA, Fine-tuning)☆60Updated last year
- Accelerating Research in Plasticity-Motivated Deep Reinforcement Learning.☆27Updated 3 months ago
- Code for "SimbaV2: Hyperspherical Normalization for Scalable Deep Reinforcement Learning"☆68Updated 4 months ago
- Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations☆110Updated last year
- ☆29Updated 2 years ago
- Recall to Imagine, a model-based RL algorithm with superhuman memory. Oral (1.2%) @ ICLR 2024☆74Updated last year
- MR.Q is a general-purpose model-free reinforcement learning algorithm.☆112Updated 3 months ago
- Transformer-based World Models☆85Updated 2 years ago
- HIQL: Offline Goal-Conditioned RL with Latent States as Actions (NeurIPS 2023)☆90Updated 10 months ago
- Synthetic Experience Replay☆103Updated last year
- The official implementation of flow Q-learning (FQL)☆235Updated 2 months ago
- ☆53Updated 6 months ago
- Using advances in generative modeling to learn reward functions from unlabeled videos.☆135Updated last year
- ☆14Updated 10 months ago
- The official implementation of "Horizon Reduction Makes RL Scalable"☆140Updated 2 months ago
- [ICLR 2024] Adaptive Replay Ratio implementation from 'Revisiting Plasticity in Visual RL: Data, Modules and Training Stages'.☆13Updated 11 months ago
- Guide Your Agent with Adaptive Multimodal Rewards (NeurIPS 2023 Accepted)☆33Updated 2 years ago