Alternatives and similar repositories for pink-noise-rl

Users that are interested in pink-noise-rl are comparing it to the libraries listed below

• kngwyu / mujoco-maze
  Simple maze environments using mujoco-py
  ☆57Updated 2 years ago
• TakuyaHiraoka / Dropout-Q-Functions-for-Doubly-Efficient-Reinforcement-Learning
  Source files to replicate experiments in my ICLR 2022 paper.
  ☆70Updated 5 months ago
• adityab / CrossQ
  Official code release for "CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity"
  ☆82Updated last year
• LQNew / Continuous_Control_Benchmark
  Benchmark data (i.e., DeepMind Control Suite and MuJoCo) for RL.
  ☆33Updated 4 years ago
• uoe-agents / smaclite
  The Starcraft Multi-Agent challenge lite
  ☆43Updated last year
• 51616 / marl-lipo
  Official codebase for Generating Diverse Cooperative Agents by Learning Incompatible Policies (notable-top-25% @ ICLR 2023)
  ☆19Updated last year
• evgenii-nikishin / rl_with_resets
  JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"
  ☆103Updated 3 years ago
• LAMDA-RL / OfflineRL-Lib
  Benchmarked implementations of Offline RL Algorithms.
  ☆76Updated 10 months ago
• hari-sikchi / AWAC
  Advantage weighted Actor Critic for Offline RL
  ☆51Updated 3 years ago
• denisyarats / exorl
  ExORL: Exploratory Data for Offline Reinforcement Learning
  ☆123Updated 3 years ago
• daisatojp / mpo
  PyTorch Implementation of the Maximum a Posteriori Policy Optimisation
  ☆78Updated 3 years ago
• proceduralia / high_replay_ratio_continuous_control
  Efficient seed-parallel implementation of "Breaking the Replay Ratio Barrier"
  ☆27Updated 2 years ago
• ikostrikov / jaxrl2
  ☆52Updated 2 years ago
• sfujim / TD7
  Author's PyTorch implementation of TD7 for online and offline RL
  ☆159Updated 2 years ago
• dibyaghosh / jaxrl_m
  Skeleton for scalable and flexible Jax RL implementations
  ☆93Updated 2 years ago
• RajGhugare19 / alm
  Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective
  ☆82Updated 2 years ago
• yuchen-x / MacroMARL
  ☆23Updated last year
• tedmoskovitz / TOP
  Implementation of Tactical Optimistic and Pessimistic value estimation
  ☆25Updated 2 years ago
• rraileanu / idaac
  ☆54Updated last year
• zhihanyang2022 / off-policy-continuous-control
  Official PyTorch code for "Recurrent Off-policy Baselines for Memory-based Continuous Control" (DeepRL Workshop, NeurIPS 21)
  ☆90Updated 2 years ago
• OffDynamicsRL / off-dynamics-rl
  ☆60Updated last month
• twni2016 / Memory-RL
  When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment, NeurIPS 2023 (oral)
  ☆68Updated last year
• YYCAAA / V-MPO_Lunarlander
  Simple implementation of V-MPO proposed in https://arxiv.org/abs/1909.12238
  ☆48Updated 5 years ago
• conglu1997 / v-d4rl
  Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations
  ☆112Updated last year
• Wenxuan-Zhou / PLAS
  Code for Latent Action Space for Offline Reinforcement Learning [CoRL 2020]
  ☆53Updated 4 years ago
• liuzuxin / DSRL
  🔥 Datasets and env wrappers for offline safe reinforcement learning
  ☆116Updated last month
• nakamotoo / Cal-QL
  official implementation for our paper Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning (NeurIPS 2023)
  ☆116Updated last year
• seohongpark / HIQL
  HIQL: Offline Goal-Conditioned RL with Latent States as Actions (NeurIPS 2023)
  ☆91Updated last year
• ahmed-touati / controllable_agent
  ☆53Updated 2 years ago
• ikostrikov / dmcgym
  ☆23Updated 3 years ago