ndrwmlnk / critic-guided-segmentation-of-rewarding-objects-in-first-person-views
Critic Guided Segmentation of Rewarding Objects in First-Person Views. Explanatory video:
☆12Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for critic-guided-segmentation-of-rewarding-objects-in-first-person-views
- ForgER algorithm☆22Updated 2 years ago
- Docker containers of baseline agents for the Crafter environment☆28Updated 2 years ago
- Predictable MDP Abstraction for Unsupervised Model-Based RL (ICML 2023)☆30Updated last year
- Lipschitz-constrained Unsupervised Skill Discovery (ICLR 2022)☆32Updated last year
- Code for "Possibility Before Utility: Learning And Using Hierarchical Affordances" ICLR 2022☆13Updated 2 years ago
- Source code to reproduce experiments from Mendez et al., ICLR '22☆20Updated 2 years ago
- ☆41Updated 3 years ago
- ☆34Updated last year
- Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective☆79Updated last year
- Change-Based Exploration Transfer☆36Updated 2 years ago
- On the Feasibility of Cross-Task Transfer with Model-Based Reinforcement Learning☆17Updated last year
- Learning Action-Value Gradients in Model-based Policy Optimization☆31Updated 3 years ago
- Official codebase for Generating Diverse Cooperative Agents by Learning Incompatible Policies (notable-top-25% @ ICLR 2023)☆14Updated 6 months ago
- ☆36Updated last year
- RAD: Reinforcement Learning with Augmented Data (code for procgen experiments)☆18Updated 3 years ago
- Latent Dynamics Mixture, NeurIPS 2021☆17Updated 2 years ago
- [ICLR 22] Value Gradient weighted Model-Based Reinforcement Learning.☆24Updated last year
- ☆28Updated 2 years ago
- Official Codebase for Offline Reinforcement Learning from Images with Latent Space Models☆28Updated 3 years ago
- Conservative Q learning in Jax☆50Updated last year
- EARL: Environment for Autonomous Reinforcement Learning☆35Updated last year
- Code for "World Model as a Graph: Learning Latent Landmarks for Planning" (ICML 2021 Long Presentation)☆64Updated 3 years ago
- Efficient seed-parallel implementation of "Breaking the Replay Ratio Barrier"☆21Updated last year
- CIC: Contrastive Intrinsic Control for Unsupervised Skill Discovery☆78Updated 2 years ago
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆35Updated 2 weeks ago
- Discovering and Achieving Goals via World Models, NeurIPS 2021☆83Updated 9 months ago
- ☆15Updated 6 months ago
- Pytorch implementations of RL algorithms, focusing on model-based, lifelong, reset-free, and offline algorithms. Official codebase for Re…☆98Updated 2 years ago
- Model-Based Reinforcement Learning via Latent-Space Collocation.☆31Updated last year
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆83Updated 3 years ago