seohongpark / horizon-reductionLinks
The official implementation of "Horizon Reduction Makes RL Scalable"
☆108Updated 3 weeks ago
Alternatives and similar repositories for horizon-reduction
Users that are interested in horizon-reduction are comparing it to the libraries listed below
Sorting:
- ☆44Updated 6 months ago
- Official code for TLDR: Unsupervised Goal-Conditioned RL via Temporal Distance-Aware Representations☆32Updated 8 months ago
- PWM: Policy Learning with Large World Models☆52Updated 4 months ago
- ☆33Updated 2 weeks ago
- Official code for "World Models via Policy-Guided Trajectory Diffusion", TMLR 2024☆65Updated last year
- Foundation Policies with Hilbert Representations (ICML 2024)☆88Updated last year
- Official implementation of DEMO3☆51Updated last month
- ☆93Updated 4 months ago
- Official codebase for "Privileged Sensing Scaffolds Reinforcement Learning", contains the Scaffolder algorithm and Sensory Scaffolding Su…☆28Updated last year
- Code for "Unsupervised Zero-Shot RL via Functional Reward Representations"☆57Updated last year
- METRA: Scalable Unsupervised RL with Metric-Aware Abstraction (ICLR 2024)☆70Updated last year
- Author's Pytorch implementation of our ICLR 2024 paper "Uni-O4"☆50Updated 5 months ago
- HIQL: Offline Goal-Conditioned RL with Latent States as Actions (NeurIPS 2023)☆85Updated 6 months ago
- [ICLR 2025] Bootstrapped Model Predictive Control☆15Updated 2 months ago
- JAX implementation of WSRL and RL baselines | ICLR 2025☆44Updated 2 months ago
- Parallel Q-Learning: Scaling Off-policy Reinforcement Learning under Massively Parallel Simulation☆71Updated last year
- (ICLR 2024) Reverse Forward Curriculum Learning☆47Updated 7 months ago
- Code for "SimbaV2: Hyperspherical Normalization for Scalable Deep Reinforcement Learning"☆51Updated 3 weeks ago
- ☆25Updated last year
- ☆46Updated 3 months ago
- [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
- Public code for "Reinforcement Learning from Passive Data via Latent Intentions"☆89Updated last year
- Efficient Real-World RL for Legged Locomotion via Adaptive Policy Regularization☆71Updated last year
- Controllability-Aware Unsupervised Skill Discovery (ICML 2023)☆26Updated 2 years ago
- Action Value Gradient Algorithm☆21Updated last month
- This code accompanies the paper "Leveraging Skills from Unlabeled Prior Data for Efficient Online Exploration."☆28Updated 3 weeks ago
- A benchmark for offline goal-conditioned RL and offline RL☆191Updated last week
- Code for SAPG: Split and Aggregate Policy Gradients (ICML 2024)☆51Updated 9 months ago