vivekmyers / empowerment_successor_representationsLinks
Code for the paper "Learning to Assist Humans without Inferring Rewards"
☆15Updated last year
Alternatives and similar repositories for empowerment_successor_representations
Users that are interested in empowerment_successor_representations are comparing it to the libraries listed below
Sorting:
- Dual optimization to learn laplacian eigenpairs in arbitrary spaces☆15Updated 7 months ago
- Scalable Opponent Shaping Experiments in JAX☆24Updated last year
- Learning diverse options through the Laplacian representation.☆23Updated last year
- Synchronized Curriculum Learning for RL Agents☆50Updated last week
- When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment, NeurIPS 2023 (oral)☆63Updated last year
- ☆82Updated 4 months ago
- Foundation Policies with Hilbert Representations (ICML 2024)☆90Updated last year
- Challenging Memory-based Deep Reinforcement Learning Agents☆102Updated 9 months ago
- Deep Hierarchical Planning from Pixels☆107Updated 2 years ago
- METRA: Scalable Unsupervised RL with Metric-Aware Abstraction (ICLR 2024)☆71Updated last year
- JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"☆100Updated 3 years ago
- Simple single-file baselines for Q-Learning in pure-GPU setting☆176Updated 4 months ago
- Code for "Unsupervised Zero-Shot RL via Functional Reward Representations"☆57Updated last year
- Extreme Q-Learning: Max Entropy RL without Entropy☆87Updated 2 years ago
- Reproduction of Dreamerv1 and v2 in pytorch for deepmind control suite☆43Updated 2 years ago
- ☆48Updated 2 years ago
- Official code for "Pretraining Representations For Data-Efficient Reinforcement Learning" (NeurIPS 2021)☆54Updated 4 years ago
- Code and data for the paper "Bridging RL Theory and Practice with the Effective Horizon"☆48Updated last year
- Code for "SimbaV2: Hyperspherical Normalization for Scalable Deep Reinforcement Learning"☆59Updated 2 months ago
- Official codebase for Generating Diverse Cooperative Agents by Learning Incompatible Policies (notable-top-25% @ ICLR 2023)☆19Updated last year
- Skeleton for scalable and flexible Jax RL implementations☆84Updated 2 years ago
- ☆40Updated last year
- SkillHack: A Benchmark for Skill Transfer in Open-Ended Reinforcement Learning☆17Updated 2 years ago
- The Controllable Agent project trains RL Agents able to optimize any reward function specified in real time, without any further learning…☆66Updated 2 years ago
- Transformer-based World Models☆85Updated 2 years ago
- Benchmarking RL generalization in an interpretable way.☆159Updated last month
- Official codebase for "The Generalization Gap in Offline Reinforcement Learning" accepted to ICLR 2024☆28Updated last year
- ExORL: Exploratory Data for Offline Reinforcement Learning☆115Updated 3 years ago
- TeachMyAgent is a testbed platform for Automatic Curriculum Learning methods in Deep RL.☆76Updated last year
- Benchmarking RL for POMDPs in Pure JAX [Code for "Structured State Space Models for In-Context Reinforcement Learning" (NeurIPS 2023)]☆109Updated last year