hmishfaq / LSACLinks
The official code release for "Langevin Soft Actor-Critic: Efficient Exploration through Uncertainty-Driven Critic Learning", ICLR 2025
☆9Updated last week
Alternatives and similar repositories for LSAC
Users that are interested in LSAC are comparing it to the libraries listed below
Sorting:
- Code for "Unsupervised Zero-Shot RL via Functional Reward Representations"☆57Updated last year
- Repository for "Quality-Diversity Actor-Critic: Learning High-Performing and Diverse Behaviors via Value and Successor Features Critics" …☆16Updated 11 months ago
- Implementation of Truncated Quantile Critics method for continuous reinforcement learning.☆25Updated 2 years ago
- Code for NeurIPS 2022 paper Exploiting Reward Shifting in Value-Based Deep RL☆29Updated last year
- Official repository for paper "Versatile Offline Imitation from Observations and Examples via Regularized State-Occupancy Matching" (ICML…☆26Updated 2 years ago
- Author implementation of Monte Carlo Augmented Actor Critic in PyTorch☆17Updated 2 years ago
- Official PyTorch Implementation for Metric Residual Networks for Sample Efficient Goal-Conditioned Reinforcement Learning☆17Updated 2 years ago
- Synthetic Experience Replay☆92Updated last year
- Code to accompany the paper "Mismatched No More: Joint Model-Policy Optimization for Model-Based RL"☆21Updated 3 years ago
- SkillHack: A Benchmark for Skill Transfer in Open-Ended Reinforcement Learning☆16Updated 2 years ago
- METRA: Scalable Unsupervised RL with Metric-Aware Abstraction (ICLR 2024)☆70Updated last year
- Authors' PyTorch implementation of 'Recomposing the Reinforcement Learning Building-Blocks with Hypernetworks' (HypeRL)☆25Updated 3 years ago
- Drop-in environment replacements that make your RL algorithm train faster.☆20Updated 11 months ago
- HIQL: Offline Goal-Conditioned RL with Latent States as Actions (NeurIPS 2023)☆84Updated 6 months ago
- Implementation of Tactical Optimistic and Pessimistic value estimation☆26Updated last year
- Minimal Decision Transformer Implementation written in Jax (Flax).☆17Updated 2 years ago
- Generalised UDRL☆37Updated 3 years ago
- Code for "World Model as a Graph: Learning Latent Landmarks for Planning" (ICML 2021 Long Presentation)☆66Updated 3 years ago
- Pytorch implementation of DreamerV2: Mastering Atari with Discrete World Models, based on the original implementation☆20Updated 2 years ago
- Docker containers of baseline agents for the Crafter environment☆28Updated 3 years ago
- Foundation Policies with Hilbert Representations (ICML 2024)☆88Updated last year
- Simplistic Pytorch Implementation of the Dreamer-RL☆21Updated last month
- ☆31Updated 4 years ago
- Learning diverse options through the Laplacian representation.☆23Updated last year
- Official pytorch implementation for our ICLR 2023 paper "Latent State Marginalization as a Low-cost Approach for Improving Exploration".☆24Updated 2 years ago
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆40Updated 7 months ago
- My Body Is A Cage☆41Updated 4 years ago
- Model-Based Reinforcement Learning via Latent-Space Collocation.☆33Updated 2 years ago
- Open source code for paper "Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning" ICML 2023☆46Updated 2 weeks ago
- Jax implementation of Proximal Policy Optimization (PPO) specifically tuned for Procgen, with benchmarked results and saved model weights…☆56Updated 2 years ago