proceduralia / high_replay_ratio_continuous_controlLinks
Efficient seed-parallel implementation of "Breaking the Replay Ratio Barrier"
☆27Updated 2 years ago
Alternatives and similar repositories for high_replay_ratio_continuous_control
Users that are interested in high_replay_ratio_continuous_control are comparing it to the libraries listed below
Sorting:
- Simple maze environments using mujoco-py☆58Updated 2 years ago
- ExORL: Exploratory Data for Offline Reinforcement Learning☆123Updated 3 years ago
- [ICLR 2024] Closing the Gap between TD Learning and Supervised Learning - A Generalisation Point of View.☆23Updated last year
- ☆52Updated 2 years ago
- JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"☆103Updated 3 years ago
- Conservative Q learning in Jax☆57Updated 2 years ago
- Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations☆112Updated last year
- ☆18Updated last year
- A version of the DeepMind Control Suite with randomly generated graphics, for measuring visual generalization in continuous control.☆20Updated 5 years ago
- Accompanying Code for "Flipping Coins to Estimate Pseudocounts for Exploration in Reinforcement Learning", ICML 2023☆22Updated 2 years ago
- Deep Hierarchical Planning from Pixels☆112Updated 3 years ago
- ☆20Updated last year
- ☆60Updated last month
- Skeleton for scalable and flexible Jax RL implementations☆94Updated 2 years ago
- Implementation of Tactical Optimistic and Pessimistic value estimation☆25Updated 2 years ago
- Lipschitz-constrained Unsupervised Skill Discovery (ICLR 2022)☆38Updated 2 years ago
- ☆15Updated 4 months ago
- HIQL: Offline Goal-Conditioned RL with Latent States as Actions (NeurIPS 2023)☆92Updated last year
- Code for "Hierarchical Skills for Efficient Exploration" HSD-3 Algorithm and Baselines☆49Updated 3 years ago
- Code for MOBILE: Model-Bellman Inconsistency Penalized Offline Policy Optimization☆22Updated last year
- Change-Based Exploration Transfer☆35Updated 3 years ago
- Official codebase for Generating Diverse Cooperative Agents by Learning Incompatible Policies (notable-top-25% @ ICLR 2023)☆19Updated last year
- Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective☆82Updated 2 years ago
- Bipedal Skills Benchmark for Reinforcement Learning☆25Updated 3 years ago
- ☆54Updated 2 years ago
- official implementation for our paper Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning (NeurIPS 2023)☆117Updated last year
- Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning☆29Updated 3 years ago
- ☆48Updated 2 years ago
- ☆23Updated 3 years ago
- [ICML 2023] Pre-train world model-based agents with different unsupervised strategies, fine-tune the agent's components selectively, and …☆40Updated last year