proceduralia / high_replay_ratio_continuous_control
Efficient seed-parallel implementation of "Breaking the Replay Ratio Barrier"
☆22Updated last year
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
- [ICLR 2024] Closing the Gap between TD Learning and Supervised Learning - A Generalisation Point of View.☆23Updated 9 months ago
- Change-Based Exploration Transfer☆36Updated 2 years ago
- ☆15Updated 9 months ago
- ☆54Updated 11 months ago
- Code for "Hierarchical Skills for Efficient Exploration" HSD-3 Algorithm and Baselines☆49Updated 2 years ago
- ☆29Updated 2 years ago
- ☆41Updated last year
- Official codebase for "The Generalization Gap in Offline Reinforcement Learning" accepted to ICLR 2024☆29Updated 6 months ago
- ☆16Updated 10 months ago
- ☆23Updated 2 years ago
- [ICLR 22] Value Gradient weighted Model-Based Reinforcement Learning.☆24Updated last year
- OpenAI gym environments for goal-conditioned and language-conditioned reinforcement learning☆13Updated 2 years ago
- A version of the DeepMind Control Suite with randomly generated graphics, for measuring visual generalization in continuous control.☆18Updated 4 years ago
- ☆26Updated last year
- ☆47Updated last year
- Accompanying Code for "Flipping Coins to Estimate Pseudocounts for Exploration in Reinforcement Learning", ICML 2023☆19Updated last year
- Conservative Q learning in Jax☆52Updated 2 years ago
- Simple maze environments using mujoco-py☆54Updated last year
- Code for ICLR 2022 paper Rethinking Goal-Conditioned Supervised Learning and Its Connection to Offline RL.☆26Updated 2 years ago
- SkillHack: A Benchmark for Skill Transfer in Open-Ended Reinforcement Learning☆14Updated 2 years ago
- Implementation of Tactical Optimistic and Pessimistic value estimation☆25Updated last year
- ☆14Updated last year
- Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations☆98Updated 8 months ago
- HIQL: Offline Goal-Conditioned RL with Latent States as Actions (NeurIPS 2023)☆76Updated 2 months ago
- ☆40Updated 3 years ago
- The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)☆27Updated 3 years ago
- Reward shaping approach for instruction following settings, leveraging language at multiple levels of abstraction.☆19Updated 3 years ago
- EARL: Environment for Autonomous Reinforcement Learning☆36Updated 2 years ago
- Official codebase for Generating Diverse Cooperative Agents by Learning Incompatible Policies (notable-top-25% @ ICLR 2023)☆14Updated 9 months ago
- Official Codebase for Offline Reinforcement Learning from Images with Latent Space Models☆31Updated 3 years ago